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2017

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PROGRAM CURRENT AS OF

1 November 2016

MEDICAL IMAGINGTHE LATEST REPORTING OF RESEARCH AND DEVELOPMENTS IN MEDICAL IMAGING MODALITIES BY LEADING PHYSICISTS, RESEARCHERS, AND SCIENTISTS.

MEDICAL IMAGING RETURNS TO THE EAST COAST IN 2017

Renaissance Orlando at SeaWorld Orlando, Florida, USA

11–16 February 2017

ii • SPIE Medical Imaging 2017 • www.spie.org/miprogram • Program current as of 1 November 2016

One Week Many Opportunities

Cutting-Edge Research and CoursesBIOS

The largest biophotonics, biomedical optics, and imaging conference.

LASE The laser source technologies, industrial lasers, and applications conference.

OPTO The optoelectronics and photonic materials and devices conference.

Exhibitions and Sessions for Industry

CONNECTING MINDS. ADVANCING LIGHT.

MEDICALIMAGING 2017THE PREMIER EVENT FOR THE SCIENCE BEHIND MEDICAL IMAGING

Conferences & Courses: 11–16 February 2017


One Week Many Opportunities

CUTTING-EDGE RESEARCH

WORLD-CLASS SPEAKERS

TRAINING AND EDUCATION

FOCUSED TECHNICAL TOPICS

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Tel: +1 360 676 3290 • [email protected] • #MedicalImaging • 1

Register Today: www.spie.org/miprogram


11–16 February 2017

Learn · Connect · Do Business

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and Orlando is online• Up-to-date paper listings and session times

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Registration Rates Increase after: 27 JANUARY 2017

PROGRAM CURRENT AS OF: 1 NOVEMBER 2016

SPIE is the international society for optics and photonics, an educational not-for-profit organization founded in 1955 to advance light-based science and technology. The Society serves nearly 264,000 constituents from approximately 166 countries, offering conferences and their published proceedings, continuing education, books, journals, and the SPIE Digital Library in support of interdisciplinary information exchange, professional networking, and patent precedent. SPIE provided more than $5.2 million in support of education and outreach programs in 2015.

For more information, visit www.SPIE.org.

2 • SPIE Medical Imaging 2017 • www.spie.org/miprogram • Program current as of 1 November 2016

Conferences: Hear 1,000 presentations on the latest advances in digital pathology; tomography; image process-

ing; observer performance; image-registration, -informatics, and -segmentation; computer-aided diagnosis; and ultrasound.

Courses: Get focused, efficient training on current approaches in biomedical imaging and physics, imaging and CT,

observer studies, photon counting, and many more, that you can apply directly to your daily work. Register soon to ensure a spot.

Focused Technical Topics

PROSTATEx page 16 ChallengeThe PROSTATEx Challenge will provide a unique opportunity for participants to compare their algorithms with those of others from academia, industry, and government in a structured, direct way using the same data sets.

USCT Date page 17 ChallengeThis challenge aims on applying available image reconstruction algorithms on provided USCT data in order to establish a first intercommunication and open data interface specifications.

Precision page 19 MedicineThe SPIE Medical Imaging Precision Medicine track highlights papers across conferences that showcase innovative ways to apply this new multidimensional / multidisciplinary technology.

11 Courses

Plan to attend SPIE Medical Imaging—where the latest information is presented.

Conf. 10132 Physics of Medical Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Conf. 10133 Image Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Conf. 10134 Computer-Aided Diagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44

Conf. 10135 Image-Guided Procedures, Robotic Interventions, and Modeling . . . 52

Conf. 10136 Image Perception, Observer Performance, and Technology Assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58

Conf. 10137 Biomedical Applications in Molecular, Structural, and Functional Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

Conf. 10138 Imaging Informatics for Healthcare, Research, and Applications . . . . 66

Conf. 10139 Ultrasonic Imaging and Tomography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

Conf. 10140 Digital Pathology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739 Conferences

SC086 Fundamentals of Medical Image Processing and Analysis . . . . . . . .79

SC1026 Graph Algorithmic Techniques for Biomedical Image Segmentation . 79

SC1127 ROC Analysis and Observer Studies to Evaluate Imaging Technology . . . . . . . . . . . . . . . . . . . 80

SC1129 Photon Counting X-ray Imaging: Technology and Methods . . . . . . 80

SC1182 ITK in Biomedical Research and Commercial Applications . . . . . . . 81

SC1183 Modern Diagnostic X-ray Sources . .81

SC471 Principles and Advancements in X-ray Computed Tomography . . .82

SC829 MIC-GPU: High-Performance Computing for Medical Imaging on Programmable Graphics Hardware (GPU) . . . . . . . . . . . . . . .82

SC987 Spectral CT Imaging . . . . . . . . . . . .83

WS757 Early Career Professional Development in Medical Imaging . 83

WS776 Writing for Publication in Medical Imaging . . . . . . . . . . . . . . .83


Plenary and Keynote Sessions pages 5–9Don’t miss these world-class speakers discussing the latest directions and most promising breakthroughs.

Social + Networking Events pages 13Join your colleagues at these relaxed events, including the Student Dessert with the Experts and Women’s Networking Lunch—events not to be missed!

Technical Events page 10–12Join your peers and colleagues in group discussions around focused technical topics like the PROSTATEx Grand Challenge, USCT Data Challenge, various workshops, live demos, and at the interactive poster sessions.

Awards + Student Information pages 14–15Participate in the following opportunities: RFW All-Conference Best Student Paper, Young Scientist Award, Student Paper Award, as well as information about Poster Awards.

DAILY CONFERENCE SCHEDULE . . . . . . . . . page 25–28

PROCEEDINGS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . page 77

GENERAL INFORMATION . . . . . . . . . . . . . . . pages 84–87

Registration · Author/Presenter Information · Policies · Food and Beverage · Onsite Services · Parking and Car Rental

SPIE POLICIES . . . . . . . . . . . . . . . . . . . . . . . . .pages 88–89

Download the SPIE Conference App


Choose from 1,000 presentations on the latest advances in research The SPIE Medical Imaging conference is where the science of medical imaging is explored and presented. The event focuses on the latest innovations found in underlying fundamental scientific principles, to technology developments, scientific evaluation, and clinical application. The symposium covers the full range of medical imaging modalities including medical image acquisition, display, processing, analysis, perception, and decision support.

Hear from leading physicists, researchers, and scientists presenting the latest advances in image processing, perception, registration, informatics, and segmentation; digital pathology; tomography; computer-aided diagnosis; and ultrasound. Join your colleagues, network with your peers, and see the applications of the future. We look forward to seeing you in Orlando!

Berkman SahinerU.S. Food and Drug Administration (USA)

SYMPOSIUM CHAIRS:

Leonard Berliner Weill Cornell Medical College (USA) and New York Methodist Hospital (USA)

COOPERATING ORGANIZATIONS

A Focus on Precision Medicine 2017Precision Medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person. At Medical Imaging 2017, we will highlight papers from the conference that showcase the latest technologies, tools, and techniques that have applications in precision medicine.

WHERE THE SCIENCE OF MEDICAL IMAGING IS EXPLORED AND PRESENTED

AAPM—American Association of Physicists in Medicine

APS—American Physiological SocietyIFCARS—International Foundation for Computer

Assisted Radiology and Surgery

MIPS—Medical Image Perception SocietyRSNA—Radiological Society of North AmericaSIIM—Society for Imaging Informatics in MedicineWMIS—World Molecular Imaging SocietyThe DICOM Standards Committee


Awards and Plenary SessionDon’t miss these world-class speakers discussing the latest directions and most promising breakthroughs.

Monday 13 February 2017 • 4:00 to 5:15 pm • Location: Crystal C

4:15 pm

PLENARY PRESENTATION

Applying Deep Learning to Medical Imaging

Greg CorradoSenior Research Scientist Google (United States)Abstract: Deep learning is a modern machine learning approach that has seen tremendous innovation in the last few years. Specifically, it has revolutionized the field of computer vision—making practical technolo-gies out of what seemed like science fiction just a few

years ago. There is a general sense of optimism that these same technol-ogies may be fruitfully applied in medical imagine to improve accuracy and efficiency of reading services. This talk will introduce the fundamental concepts of machine learning and deep learning, and describe how they might be applied in the medical imaging.

Biography: Greg Corrado is a senior research scientist interested in biolog-ical neuroscience, artificial intelligence, and scalable machine learning. He has published in fields ranging across behavioral economics, neuromorphic device physics, systems neuroscience, and deep learning. At Google he has worked for some time on brain inspired computing, and most recently has served as one of the founding members and the co-technical lead of Google’s large scale deep neural networks project.

4:00 pm

BEST STUDENT PAPER AWARDS ANNOUNCEMENTThe first place winner and runner up of the Robert F. Wagner All-Confer-ence Student Paper Award will be announced and conference finalists will be recognized.


IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT Conference 10136 • Paper Number 10136-1

Perception in Multi-modality Breast Imaging: A Radiologist’s Perspective Sunday 12 February 2017 • 8:00 to 9:00 am Location: Oceans 2

Margarita Zuley, Univ. of Pittsburgh Medical Ctr., (USA) and Magee-Womens Hospital (USA)

Abstract: Each year, millions of American patients benefit from innovative medical imaging products and comput-er-aided diagnosis systems that detect disease at earlier stages, extend lives, and improve public health. Research

and development in computer-aided diagnosis continues to advance at a rapid pace, enabled by increased access to large data sets for training and testing of such systems across an array of imaging modalities and disease targets as well as recent advances in machine learning, quantitative imaging, and radiomics. FDA’s Center for Devices and Radiological Health (CDRH) recognizes that transformative devices often present new scientific and regulatory challenges. A core function of CDRH is to advance regulatory science, the science of developing new tools, standards and approaches to assess the safety, efficacy, quality, and performance of medical devic-es and radiation-emitting products. Research is therefore conducted in CDRH laboratories and through collaborations with academia, healthcare providers, other government agencies and industry to support innovation and regulatory decision-making in areas as varied as medical imaging, precision medicine, and next gen sequencing. This presentation will provide the attendee with an understanding of when a machine learning tool might require FDA clearance or approval, and with what supporting performance data. CDRH regulatory science programs and gaps will be discussed, allowing the audience to be aware of the opportunities for contributing to these efforts in order to support the development of new methods for demonstrating the safety and performance of emerging CAD, machine learning, and artificial intelligence tools..

Biography: Dr. Zuley is Professor of Radiology and Vice Chair of Quality Assurance and Strategic Development, Department or Radiology; Interim Chair of Radiology UPMC Bedford; and also serves as Chief, Breast Imaging Department of Radiology University of Pittsburgh Medical Center.

Dr. Zuley completed her residency and fellowship at UPMC and Ma-gee-Womens Hospital.

She is an author on more than 100 publications and scientific abstracts. She sits on serval committees for the American College of Radiology, and the Society of Breast Imaging.

Active areas of research include new technology evaluation, including digital breast tomosynthesis, contrast enhanced mammography and investigation of increasing specificity in breast imaging.

IMAGE PROCESSINGConference 10133 • Paper Number 10133-6

Sunday 12 February 2017 • 10:10 to 11:10 am Location: Crystal E

An Atlas of the (Near) Future: Cognitive Computing Applications for Medical Imaging

Anne LeGrand, IBM Watson Health (USA)

Abstract: The role of medical imaging in global health systems is literally fundamental. Like labs, medical images are used at one point or another in almost every high cost, high value episode of care. CT scans, mammograms, and x-rays, for example, “atlas” the body and help chart a course forward for a patient’s care team. Imaging precision has

improved as a result of technological advancements and breakthroughs in related medical research. Those advancements also bring with them exponential growth in medical imaging data. As IBM trains Watson to “see” medical images, Ms. Le Grand will discuss recent advances made by Watson Health and explore the potential value of “augmented intelligence” to assist healthcare providers like radiologists and cardiologists, as well as the patients they serve.

Biography: Anne Le Grand is the Global General Manager for Watson Health Imaging at IBM. Prior to Watson Health, Anne held senior executive roles at Philips and at GE in Imaging. She has extensive experience running large complex global healthcare technology businesses focused on imaging, informatics, diagnostics and professional services with +25 years in the Medical Imaging. Anne brings a strong customer focus, deep market insights and an unrelenting focus on continuous improvement. She is passionate about building diverse and talented teams and developing future leaders.

BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING Conference 10137 • Paper Number 10137-12

Sunday 12 February 2017 • 1:20 to 3:00 pm Location: Oceans 3

Advances in Neuroimaging Bruce Rosen, Harvard Medical School, (USA)

Abstract: By enabling visualization of physiological pro-cesses, functional imaging has dramatically enhanced our ability to explore and thus better understand how the brain works. The evolution of functional MRI (fMRI) in the early 1990s revolutionized the neuroimaging field, enabling dy-

namic measurement of the neurovascular changes coupled to changes in brain activity through high spatial resolution tomographic imaging. In the 25 years since, functional imaging research has grown phenomenally, and fMRI has become the keystone of a broad array of functional imaging meth-ods—including positron emission tomography (PET), among others—that are revealing the links between brain and behavior. At the same time, very high strength gradients, phased-array coils, and other advances at 3T and 7T have enabled ultra-high resolution MRI, providing ever-greater insights into the structural basis of the brain. In more recent years, the integration of imaging modalities—multimodal imaging—has advanced neuroimaging further still. Used in combination, the individual strengths of different mo-dalities can inform one another to yield new insights that expand the types

Special Events • Keynote Presentations


of physiological information that can be gained through in vivo imaging. All of these advances, whether in standalone techniques or in multimodal approaches, have contributed to vastly improved understandings of neural circuits and systems and their role in human behavior.

Biography: Bruce Rosen is Professor of Radiology at the Harvard Medical School and Professor of Health Science and Technology at the Harvard-MIT Division of Health Sciences and Technology. He is Director of the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hos-pital. Dr. Rosen is a world-leading expert in functional neuroimaging. Over the past thirty years he has pioneered the development and application of many novel physiological and functional nuclear magnetic resonance techniques to measure hemodynamic and metabolic changes associated with brain activation and cerebrovascular insult as well as complementary tools to measure microvascular and microstructural morphology. These and other techniques he has developed are used by research centers and hospitals throughout the world to study and evaluate patients with stroke, brain tumors, dementia, and neurologic and psychological disorders. Most recently, Dr. Rosens work has focused on the integration of fMRI data with information from other modalities, including positron emission tomography (PET), magnetoencephalography (MEG) and noninvasive optical imaging. By using fMRI tools to evaluate the linkage between neuronal and physio-logical (metabolic and hemodynamic) events during periods of increased neuronal activity, his studies will allow researchers to better interpret fMRI signal changes and develop new ways to probe brain function. Dr. Rosen leads the activities of several large interdisciplinary and inter-institutional research programs including the NIH Blueprint-funded Human Connectome Project, the NIBIB Regional Resource Center, the Center for Functional Neuroimaging Technologies (CFNT), and the Biomedical Informatics Research Network (BIRN) Collaborative Tools Support Network. He is Principal Investigator/Program Director for two neuroimaging training programs. He has authored more than 300 peer-reviewed articles as well as over 50 book chapters, editorials and reviews. Dr. Rosen is the recipi-ent of numerous awards in recognition of his contributions to the field of functional MRI, including, most recently, the 2011 Outstanding Researcher award from the Radiological Society of North America (RSNA), and the Rigshospitalets International KFJ Prize from the University of Copenha-gen/Rigshospitalet. Dr. Rosen is a Fellow and Gold Medal winner for his contributions to the field of Functional MRI from the International Society for Magnetic Resonance in Medicine, a Fellow of the American Institute for Medical and Biological Engineering, and a member of the Institute of Medicine of the National Academies.

DIGITAL PATHOLOGY Conference 10140 • Paper Number 10140-20

Monday 13 February 2017 • 11:10 am to 12:10 pm Location: Oceans 4

Prognostic and Predictive Pathomics: Implications for Precision Medicine

Anant Madabhushi, Case Western Reserve Univ. (USA)

Abstract: With the rise in whole slide scanner technology, large numbers of tissue slides are being scanned and rep-resented and archived digitally. While digital pathology has substantial implications for telepathology, second opinions, and education there are also huge research opportunities in

image computing with this new source of “big data”. It is well known that there is fundamental prognostic data embedded in pathology images. The ability to mine “sub-visual” image features from digital pathology slide images, features that may not be visually discernible by a pathologist, offers the opportunity for better quantitative modeling of disease appear-ance and hence possibly improved prediction of disease aggressiveness and patient outcome. However the compelling opportunities in precision

medicine offered by big digital pathology data come with their own set of computational challenges. Image analysis and computer assisted detection and diagnosis tools previously developed in the context of radiographic images are woefully inadequate to deal with the data density in high resolution digitized whole slide images. Additionally there has been re-cent substantial interest in combining and fusing radiologic imaging and proteomics and genomics based measurements with features extracted from digital pathology images for better prognostic prediction of disease aggressiveness and patient outcome. Again there is a paucity of powerful tools for combining disease specific features that manifest across multiple different length scales. The purpose of this talk is to discuss developments in computational image analysis tools for predictive modeling of digital pathology images from a detection, segmentation, feature extraction, and tissue classification perspective. We discuss the emergence of new handcrafted feature approaches for improved predictive modeling of tissue appearance and also review the emergence of deep learning schemes for both object detection and tissue classification. We also briefly review some of the state of the art in fusion of radiology and pathology images and also combining digital pathology derived image measurements with molecular “omics” features for better predictive modeling. The talk will end with a brief discussion of some of the technical and computational challenges to be overcome and reflects on future opportunities for the quantitation of histopathology.

Biography: Anant Madabhushi is the Director of the Center for Computa-tional Imaging and Personalized Diagnostics (CCIPD) and the F. Alex Nason Professor II in the Departments of Biomedical Engineering, Pathology, Radiology, Radiation Oncology, Urology, General Medical Sciences, and Electrical Engineering and Computer Science at Case Western Reserve University. He is also a member of the Case Comprehensive Cancer Center. Dr. Madabhushi received his Bachelors Degree in Biomedical Engineering from Mumbai University, India in 1998 and his Masters in Biomedical Engi-neering from the University of Texas, Austin in 2000. In 2004 he obtained his PhD in Bioengineering from the University of Pennsylvania. He joined the Department of Biomedical Engineering, Rutgers University as an Assistant Professor in 2005. He was promoted to Associate Professor with Tenure in 2010. In 2012 he accepted the position of Associate Professor at Case Western Reserve University, Department of Biomedical Engineering andis currently directing a center on computational imaging and personalized diagnostics. He was promoted to full professor in 2014. Dr. Madabhushi has authored over 100 peer-reviewed journal publications and over 150 confer-ences papers and delivered over 160 invited talks and lectures both in the US and abroad. He has 18 issued and over 20 patents pending in the areas of medical image analysis, computer-aided diagnosis, and computer vision. He is an Associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering Letters, BMC Cancer, BMC Medical Imaging, Journal of Medical Imaging and Medical Image Analysis (MedIA). He is also on the Editorial Board of the Journal Analytical and Cellular Pathology. He has been the recipient of a number of awards for both research as well as teaching, including the Department of Defense New Investigator Award in Lung Cancer (2014), the Coulter Phase 1 and Phase 2 Early Career award (2006, 2008), and the Excellence in Teaching Award (2007-2009), along with a number of technology commercialization awards. He is also a Wallace H. Coulter Fellow, a Fellow of the American Institute of Medical and Biological Engineering (AIMBE), and a Senior IEEE member. In 2015 he was named by Crains Cleveland Business Magazine as one of Forty under 40 making positive impact to business in North East Ohio. His research work has received grant funding from the National Cancer Institute (NIH), National Science Foundation, the Department of Defense, private foundations, and from Industry. He is also the co-founder of Ibris Inc. a startup company focused on developing image based assays for breast cancer prognosis. He is also the conference chair for the new Digital Pathology Conference to be held annually in conjunction with the SPIE Medical Imaging Symposium.



PHYSICS OF MEDICAL IMAGINGConference 10132 • Paper Number 10132-31

Tuesday 14 February 2017 • 1:20 to 2:20 pm Location: Crystal D

Driving CT Developments the Last Mile: Case Examples of Successful and Somewhat Less Successful Translations into Clinical Practice

Aaron Sodickson, Brigham and Women’s Hospital, Harvard Medical School (USA)

Abstract: CT technology has advanced rapidly in recent years, yet not all innovations translate readily into clinical practice. Technology advances must meet certain key re-quirements to make it into routine use: They must provide a

well-defined clinical benefit. They must be easy to use and integrate readily into existing workflows, or better still, further streamline these workflows. These requirements heavily favor fully integrated or automated solutions that remove the human factor and provide a reproducible output indepen-dent of operator skill level. Further, to achieve these aims, collaboration with the ultimate end users is needed as early as possible in the development cycle, not just at the point of product testing. Technology innovators are encouraged to engage such collaborators even at early stages of feature or product definition.

This talk will highlight these concepts through exploration of challenging areas in CT imaging in an Emergency Department setting. The typical workflow of a trauma “pan-scan” (incorporating scans from head through pelvis) will be described to highlight workflow challenges and opportunities for improvement. Technique optimization for pulmonary embolus CT will be described as an example of successful integration of multiple advances in radiation dose reduction and imaging speed. Finally, Dual Energy CT will be discussed to highlight the undeniable clinical value of the material characterization it provides, yet also its surprisingly slow integration into routine use beyond early adopters.

Biography: Aaron Sodickson took a nonlinear path into medicine after a B.S. and Ph.D. in Physics at MIT, followed by an M.D. at Harvard Medical School. Following his clinical training in Radiology at Brigham and Women’s Hospital, he remained on staff in the Emergency Radiology division, which provides for the imaging needs of acutely ill and injured patients 24/7/365, spanning all organ systems and imaging modalities. He became division chief in 2011, overseeing clinical operations at BWH and his group’s emer-gency teleradiology coverage of multiple regional hospitals. He serves as the medical director of CT for the Brigham Radiology Network, overseeing CT protocol standardization and technique optimization for image quality and radiation dose. His research interests include informatics methods to extract and monitor radiation dose, and CT technology assessment and clinical translation, with a recent emphasis on routine incorporation of Dual Energy CT in the emergency department.

COMPUTER-AIDED DIAGNOSIS Conference 10134 • Paper Number 10134-39

Wednesday 15 February 2017 • 8:00 to 9:00 am Location: Crystal C

FDA’s Role in the Innovation and Evaluation of Evolving CAD Solutions

Kyle Myers, U.S. Food and Drug Administration (USA)

Abstract: Each year, millions of American patients benefit from innovative medical imaging products and comput-er-aided diagnosis systems that detect disease at earlier stages, extend lives, and improve public health. Research and development in computer-aided diagnosis continues to

advance at a rapid pace, enabled by increased access to large data sets for training and testing of such systems across an array of imaging modalities and disease targets as well as recent advances in machine learning, quan-titative imaging, and radiomics. FDA’s Center for Devices and Radiological Health (CDRH) recognizes that transformative devices often present new scientific and regulatory challenges. A core function of CDRH is to advance regulatory science, the science of developing new tools, standards and approaches to assess the safety, efficacy, quality, and performance of medical devices and radiation-emitting products. Research is therefore conducted in CDRH laboratories and through collaborations with academia, healthcare providers, other government agencies and industry to support innovation and regulatory decision-making in areas as varied as medical imaging, precision medicine, and next gen sequencing. This presentation will provide the attendee with an understanding of when a machine learning tool might require FDA clearance or approval, and with what supporting performance data. CDRH regulatory science programs and gaps will be discussed, allowing the audience to be aware of the opportunities for contributing to these efforts in order to support the development of new methods for demonstrating the safety and performance of emerging CAD, machine learning, and artificial intelligence tools.

Biography: Kyle J. Myers, has worked for the FDA’s Center for Devices and Radiological Health since 1987, where she is currently the Acting Di-rector of the Office of Science and Engineering Laboratories (OSEL). She was previously the head of OSEL’s Division of Imaging, Diagnostics, and Software Reliability, where she led research programs in medical imaging systems, computer-aided diagnostics, and statistical methods for imaging clinical trials. Dr. Myers is a Fellow of SPIE, OSA, AIMBE, and a member of the National Academy of Engineering.

IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELINGConference 10135 • Paper Number 10135-26

Wednesday 15 February 2017 • 10:10 to 11:10 am Location: Oceans 4

Innovations in Surgical Technology with Oncologic Application

William Jarnagin, Memorial Sloan-Kettering Cancer Center (USA)

Abstract: We are developing imaging tools to inform the care, treatment, and cure of cancer patients. We will discuss our recent work to optimally select patients for therapy, elu-cidate mechanisms of cancer progression, identify high-risk

patients, and guide surgical resection.

Biography: William R. Jarnagin was raised in outside of Boston, Massa-chusetts and earned his undergraduate degree from Dartmouth College in 1982, a Master’s degree from Brandeis University in 1984 and an MD



from Rush Medical College in 1988. He completed his training in general surgery at the University of California, San Francisco in 1996. From 1990-93, he completed a research fellowship at the Liver Center Laboratory at San Francisco General Hospital. From 1996-97, he served as the Hepatobiliary Fellow at Memorial Sloan-Kettering Cancer Center (MSKCC). Since 1997, he has been an attending surgeon at Memorial Sloan-Kettering Cancer Center, where he has served as Chief of the Hepatopancreatobiliary Service since 2008 and was a Vice-Chairman of the Department of Surgery from 2006-2010. He holds the Enid A. Haupt Chair in surgery at MSKCC and is Professor of Surgery at Weill Medical College of Cornell University. Dr. Jarnagin’s research has focused on genomics, novel therapies and biomarkers of treatment response in patients with biliary cancer, intraoperative navigation during hepatic resection and intraoperative blood conservation strategies during liver and pancreas resection. He has authored or co-authored 180 articles in peer-reviewed journals, over 60 chapters or invited reviews and has co-edited three textbooks. He is the HPB Section Editor for Annals of Surgical Oncology and is a member of the editorial board of British Journal of Surgery, Surgery, and HPB. He is a member of several surgical societies, including SUS and ASA, and has been a member of the AHPBA Executive Council since 2004, serving as the Program Chair for 2007-08 and Treasurer from 2009-11.

ULTRASONIC IMAGING AND TOMOGRAPHYConference 10139 • Paper Number 10139-17

Wednesday 15 February 2017 • 3:30 to 4:30 pm Location: Oceans 2

Ultrafast Ultrasound Blood Flow Imaging: Current and Future Perspectives

Lasse Løvstakken, Norwegian Univ. of Science and Technology (Norway)

Abstract: The introduction of real-time ultrasound col-or-Doppler imaging in the mid-eighties was a major break-through for bedside diagnosis of cardiovascular disease. Currently this technique allows for real-time 2D and 3D

imaging of blood flow, but the clinical use of color-Doppler imaging is, however, mostly qualitative, used to localize but not quantify abnormal flow patterns. The reason is due to the current limitations of color-Dop-pler related to low frame rates, beam-to-flow angle dependencies, and a limited measurable velocity span. In recent years a technological leap has changed medical ultrasound imaging. The possibility of real-time transfer and processing of channel data and software image formation allows for significantly improved image quality and frame rates in general, and has provided new opportunities to improve the accuracy of blood flow imaging. This includes improved possibilities for imaging low flow in small vessels and the measurement of the full blood velocity vector, at high frame rates. I will in this lecture present and discuss recent progress on high frame rate, quantitative ultrasound imaging of blood flow from the technical ultrasound community.

Biography: Lasse Løvstakken, is a Professor at the Department of Circu-lation and Medical Imaging, at the Norwegian University of Science and Technology. His research efforts are focused in medical ultrasound imaging, with interests in image formation, signal processing, visualization, and clinical application. His main body of research material has been dedicated to the development and application of improved methods for blood flow imaging based on ultrasound.

IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONSConference 10138 • Paper Number 10138-21

Thursday 16 February 2017 • 8:00 to 9:30 am Location: Crystal E

Introduction to 3D Medical Printing William Weadock, Univ. of Michigan, (USA)

Abstract: Over the past few years, there has been a dramatic increase in attention to 3D printing in medicine. This has ranged from customized, personalized implants, life-saving tracheal stents for infants, cutting guides for surgical pro-cedures, and patient and professional educational devices.

The technology driving this revolution is based on the concept of additive manufacturing, which has taken the name of “3D printing”. There are various types of printer technology which allow tangible objects to be printed in plastic, metals, and even cells! In its most basic implementation, consider how an inkjet printer works, with the print head dropping tiny dots of ink as each line is printed. When the page is done printing, a new sheet of paper is then printed. Now imagine if the print head dropped tiny drop of melted plastic instead of ink. When that “page” is completed, the printing platform is lowered, and the process is repeated. Over the course of minutes to hours, an object is created.

Rapidly evolving software can take CT, MRI and ultrasound data and convert it to a surface, which is then printed. This is a period of extreme research, with numerous groups around the world trying to find applications for this technology. This presentation will review the creation of models from source imaging data, and current and future applications.

Biography: William Weadock specializes in abdominal imaging with a spe-cial interest in vascular imaging and MRI. Educational and clinical informatics projects take up his time when he is not reading CT, MRI and ultrasound studies. He has worked to promote 3D printing in medicine by creating a series of 3D printing courses and exhibits at the past four RSNA annual meetings. These courses have introduced the topic to a large number of radiologists and other medical personnel.



TECHNICAL WORKSHOP

Virtual Clinical Trials for Breast ImagingWK 3 TECHNICAL WORKSHOP: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT (CONFERENCE 10136) Sunday 12 February 2017 • 5:45 to 7:45 pm Location: Oceans 2

The workshop on Virtual Clinical Trials (VCT) will examine ongoing efforts and challenges in developing computational tools that may be able to support clinical trials. We will address outstanding questions with a focus on breast imaging applications. The panel will examine topics such as phantom and task realism (to emulate an ensemble of patients), the need for rigorous imaging physics tools, reliable and computationally efficient mathematical model observers, industry and FDA perspective. Speakers will address how they incorporate various aspects of perception in the VCT simulation chain. The presentations will be followed by a panel discussion and time for questions from the audience.

Join your peers and colleagues in group discussions around focused technical topics like the PROSTATEx Grand Challenge, USCT Data Challenge, various workshops, live demos, and at the interactive poster sessions.

Special Events • Technical Events

• FREE • OPEN TO ALL CONFERENCE ATTENDEES

SPEAKERS AND PANELISTS:

Mini Das, Univ. of Houston (USA) - Introduction and Open Challenges in VCT

Stephen J. Glick, U.S. Food and Drug Administration (USA) - Advances in Phantom Models

Kenneth C. Young, Royal Surrey County Hospital, - Optimam and Update from Europe (United Kingdom)

Howard C. Gifford, Univ. of Houston (USA) - Toward Computationally Efficient Model Observers

Thomas Mertelmeier, Siemens (Germany) - Industry Perspective on VCT

Kyle J. Myers, U.S. Food and Drug Administration (USA) - FDA Perspective


TECHNICAL WORKSHOP

Deep Learning in Medical Image AnalysisWK 5 TECHNICAL WORKSHOP: IMAGE PROCESSING (CONFERENCE 10133) Sunday 12 February 2017 • 5:45 to 7:45 pm Location: Oceans 4

Deep learning is increasingly used in medical image analysis and often outperforms other machine learning approaches. However, new methodol-ogies are always accompanied by new challenges and often require a new perspective on existing problems. This workshop is intended for researchers at the beginner and intermediate level who want to start using or intensify the usage of deep learning in their research.

The workshop will introduce basic concepts as well as recent developments with a special focus on their application in medical image analysis. The lectures will include practical tips such as common pitfalls and an overview of popular software frameworks and hardware setups. Next to theoretical lectures, concrete applications will be demonstrated and there will be room for questions and discussions.

MODERATORS:

Mads Nielsen, Univ. of Copenhagen (Denmark)

Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)

PANELISTS:

Nikolas Lessmann, Univ. Medical Ctr. Utrecht (Netherlands)

Akshay Pai, Univ. of Copenhagen (Denmark)

Bob D. deVos, Univ. Medical Ctr. Utrecht (Netherlands)

Jelmer M. Wolterink, Univ. Medical Ctr. Utrecht (Netherlands)

Sunday/Monday Poster SessionMonday 13 February 2017 • 5:30 to 7:00 pm Location: Oceans Ballroom

Two poster sessions are scheduled. See Poster Presentation Guidelines for additional information.

Poster authors are required to:

• Display the poster early on the first day of your session

• Attend the Poster Session to answer questions.

SUNDAY/MONDAY POSTER SESSIONPoster presentations from the Image Processing; Image Perception, Ob-server Performance, and Technology Assessment; Biomedical Applications in Molecular, Structural, and Functional Imaging; and Digital Pathology conferences will be included.

Author Set-Up Time: Sunday after 12:00 pm (noon)

Posters should remain on display until the end of the Poster Session on Monday.

Poster Session and Reception: Monday from 5:30 to 7:00 pm

NOTE: Extended poster viewing until 9:00 pm on Sunday.

Poster award winners will be recognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.

WORKSHOP: LIVE DEMONSTRATIONS

Live DemonstrationsWK 1 TECHNICAL WORKSHOP: COMPUTER-AIDED DIAGNOSIS (CONFERENCE 10134) Tuesday 14 February 2017 • 5:00 to 7:00 pm Location: Oceans Ballroom

WORKSHOP CHAIRS:

Dr. Heang-Ping Chan, Univ. of Michigan Health System, (United States)

Dr. Horst Hahn, Fraunhofer MEVIS, (Germany)

The goal of this workshop is to provide a forum for systems and algorithms developers to show off their creations. The intent is for the audience to be inspired to conduct derivative research, for the demonstrators to receive feedback and find new collaborators, and for all to learn about the rapidly evolving field of medical imaging.

The Live Demonstration Workshop will be held as part of the 2017 SPIE Medical Imaging Conference on Tuesday, 14 February 2017 from 5:00 pm to 7:00 pm.

The Live Demonstration Workshop invites participation from all of the conferences that comprise the SPIE Medical Imaging Conference. We en-courage the CAD, Digital Pathology, Image Processing, Imaging Informatics, Perception, Physics, and all other conferences to participate.

This workshop features interactive demonstrations that are complementary to the topics of SPIE Medical Imaging. Workshop demonstrations include samples, systems, and software demonstrations that depict the implemen-tation, operation, and utility of cutting-edge as well as mature research. Having an accepted SPIE Medical Imaging paper is not required for giving a Live Demonstration; however, authors of SPIE Medical Imaging papers are encouraged to submit demonstrations that are complimentary to their oral and poster presentations.

18TH SPIE/IFCARS JOINT WORKSHOP

Information Management, Systems Integration, Standards, and Approval Issues for the Digital Operating RoomWK 2 COMPUTER-AIDED DIAGNOSIS (CONFERENCE 10134) AND IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS (CONFERENCE 10138) Tuesday 14 February 2017 • 5:00 to 7:00 pm Location: Crystal C

WORKSHOP CHAIRS:

Leonard Berliner, New York Methodist Hospital, (United States)

Heinz Lemke, Computer Assisted Radiology and Surgery, (Germany)

It has been challenging to put into practice in the Operating Room (OR) many of the new technological and system advances, associated inter-ventional procedures, and in particular, a corresponding redesign of OR infrastructures. An IT Infrastructure for the OR has to be based on DICOM, IHE and a Therapy Imaging and Model Management System (TIMMS) for the storage, integration, processing and transmission of patient specific data, allowing for the adaptation of radiological/imaging workflows to the specifics of surgical workflows.

A PACS-like architecture and its application for the management of image and model guided therapy has been the subject of discussions in the DICOM and IHE standard activities. With the initiation of the new IHE Surgery Domain, this SPIE / IFCARS Joint Workshop focuses on presentations and discussions on topics such as:



• The Digital OR infrastructure and IHE Surgery

• OR.NET - the German OR-IT integration project

• SCOT - the Japanese OR-IT integration project

• MD PnP – a USA OR-IT integration project

• Viewpoints from industry and bridging the Radiology - Surgery gap

• IHE Surgery Planning and Technical Committee Work Tasks

• Proposal for IHE Integration Profiles

• Approval and certification strategies

• Optical Imaging Devices in Medical Applications: Regulatory Perspective

PANELISTS/SPEAKERS:

Yoshihiro Muragaki, Tokyo Women’s Medical Univ. (Japan)

Ron Schilling, EchoPixel, Inc. (United States)

Erik Schreiber, Univ. of Leipzig, ICCAS (Germany)

PANEL DISCUSSION

Ultrasound Computed Tomography Data ChallengeWK 4 ULTRASONIC IMAGING AND TOMOGRAPHY (CONFERENCE 10139) Tuesday 14 February 2017 • 5:00 to 7:00 pm Location: Oceans 2

MODERATORS:

Nicole V. Ruiter, Karlsruhe Institute of Technology (Germany)

Koen van Dongen, Techniche Univ. Delft (Germany)

Ultrasound Computer Tomography is an exciting new technology mostly aimed at breast cancer imaging. Currently scientists working on advanced reconstruction algorithms have seldom easy access to real data. Also sci-entists working on the development of USCT devices seldom have access to the variety of advanced signal processing and imaging algorithms.

This challenge aims at closing this gap within the US(C)T community by combining available imaging algorithms with the data of various USCT devices. Our long term goal is to build up a reference database and to es-tablish data format and software interfaces to enable simplified academic exchange to drive further development. This challenge aims on applying available image reconstruction algorithms on provided USCT data in order to establish a first interface specification.

Participants will be invited to be part of a panel discussion in order to discuss their experience and possible future steps towards objectively evaluate and compare USCT reconstruction algorithms and imaging protocols.

You can find more information regarding the USCT data challenge at: www.spie.org/miprogram

PROSTATEx CHALLENGE

SPIE-AAPM-NCI Prostate MR Classification Challenge: PROSTATEx Challenge Wednesday 15 February 2017 • 1:20 to 3:00 pm Location: Crystal C

SPIE, along with the support of the American Association of Physicists in Medicine (AAPM) and the National Cancer Institute (NCI), will conduct a “Grand Challenge” on quantitative image analysis methods for the di-agnostic classification of clinically significant prostate lesions. As part of the 2017 SPIE Medical Imaging Symposium, the PROSTATEx Challenge will provide a unique opportunity for participants to compare their algo-rithms with those of others from academia, industry, and government in a structured, direct way using the same data sets. For more details, go to www.spie.org/PROSTATEx

Tuesday/Wednesday Poster SessionWednesday 15 February 2017 • 5:30 to 7:00 pm Location: Oceans Ballroom

Two poster sessions are scheduled. See Poster Presentation Guidelines for additional information.

Poster authors are required to:

• Display the poster early on the first day of your session

• Attend the Poster Session to answer questions.

TUESDAY/WEDNESDAY POSTER SESSIONPoster presentations from the Physics of Medical Imaging; Computer-Aided Diagnosis; Image-Guided Procedures, Robotic Interventions, and Modeling; Imaging Informatics for Healthcare, Research, and Applications; and Ultra-sonic Imaging and Tomography conferences will be included.

Author Set-Up Time: Tuesday after 9:30 am

Posters should remain on display until the end of the Poster Session on Wednesday.

Poster Session and Reception: Wednesday from 5:30 to 7:00 pm

NOTE: Extended poster viewing until 9:00 pm on Tuesday.

Poster award winners will be recognized and certificates distributed in the conference meeting rooms. Check conference schedules for times and locations. Ribbons will identify winning posters during the Poster Sessions.



Social and Networking Events

Join your colleagues at these relaxed events, including the Student Dessert with the Experts and Women’s Networking Lunch—events not to be missed!

Dessert with the Experts - A Student Networking EventMonday 13 February 2017 • 6:30 to 7:30 pm Location: OdysseyOpen to student conference attendees. First come, first served.

Enjoy a tasty dessert and casual atmosphere while networking with some of the best and brightest minds in medical imaging. Exchange ideas, share ex-periences, and make valuable contacts at this complimentary student event.

Women’s Networking LunchTuesday 14 February 2017 • 12:10 to 1:10 pm Location: Atlantis BLunch ticket required

Join other women in the field for informal discussions and networking during the scheduled lunch on Tuesday.

Sign up at the registration desk before morning coffee break on Tuesday.

• NOTE • SOME EVENTS

REQUIRE TICKETS AND REGISTRATION.

SEE INDIVIDUAL EVENTS FOR

DETAILS.

Share your networking experience on SPIE Social Media.


2017 Poster Award InformationPOSTER AWARDS IN CONFERENCE ROOMS

Check the conference schedule for exact times.

Each conference will recognize selected poster presentations of exceptional quality at either the Cum Laude or Honorable Mention level. Winners will be chosen by members of conference review committees.

The winning posters will be identified during the receptions with award ribbons. Winners will be recognized and certificates distributed in the con-ference meeting rooms. See conference schedules for times and locations.

In addition, cum laude poster award recipients will be recognized in the Proceedings of SPIE volumes and the following year’s Call for Papers.

RECOGNITION LEVELS: Each conference will recognize a selected poster at the cum laude level for the quality of work presented as well as the presentation. A number of post-ers, limited to no more than five percent, will receive honorable mention.

BASIS FOR SELECTION:Work should be of a standard of excellence as judged by the quality and quantity of results presented. It should include results that are both signif-icant and new to the field of study. Conclusions should be well supported by the results, and relevant references should be cited.

Presentation should be well organized, clear, and concise. It should be self-contained, giving adequate background, concise results, and relevant

Participate in the following opportunities: Robert F. Wagnerer All-Conference Best Student Paper, Young Scientist Award, Student Paper Award, as well as information about Poster Awards.

Award Events

• 2016 • SEE ONLINE FOR

AWARD RECIPIENTS

references. Graphic design will be considered only to the extent that it contributes to the clarity of presentation.

A conference may give preference to first authors who are students or who are within five years of their terminal degrees.

Robert F. Wagner All-Conference Best Student Paper AwardMonday 13 February 2017 • 4:00 to 4:15 pm Location: Crystal C

The Robert F. Wagner All Conference Best Student Paper Award (estab-lished 2014) is acknowledgement of his many important contributions to the Medical Imaging meeting and his many important advances in the field of medical imaging.

CO-SPONSORED BY

Contributions by the Medical Imaging Community

Deadline for full conference manuscript and academic advisor letter is 5-December 2016. A first place winner and runner up will be recognized with a cash prize ($1000 and $500 respectively) and a certificate during the Plenary Session at the meeting.


ELIGIBILITY REQUIREMENTS

Applicant must:• be a student without a doctoral degree• be the principal author of the paper in the current program• be selected by the Review Committee

TO APPLY :Submit the following by 5 December 2016. Late submissions will not be accepted:• Full manuscript formatted according to manuscript guidelines via the

SPIE Submission System• Include “RFW Award” in Step 1 of the SPIE Submission System.• Academic advisor letter stating that the principal contribution to the

work described was made by the student. Email to the Conference Programs Coordinator ([email protected])

• Include “RFW Award” and the paper number in the subject line of your email.

Physics of Medical Imaging Student Paper and Poster Awards(CONFERENCE 10132)Thursday 16 February 2017 • 9:40 to 9:45 am Location: Crystal D

This award is specific to papers in the Physics of Medical Imaging confer-ence 10132. The student paper award is a prize awarded to the first authors of high quality papers within the Physics of Medical Imaging conference.

SPONSORED BY

Deadline for full conference manuscript and academic advisor letter is 5 December 2016. The winner and runner up will be notified in late January and presented with their awards at the conference.


Applicant must:• be a student without a doctoral degree• the first author of a paper in the current program• submit no later than 5 December 2016.

A letter from the author’s academic advisor attesting to their status as a student is required. Submitted manuscripts will be peer reviewed and judged both on their scientific merit and clinical relevance.

TO APPLY :Submit the following by 5 December 2016. Late submissions will not be accepted:• Full manuscript formatted according to manuscript guidelines via the

SPIE Submission System• Include “10132 Student Paper Award” in Step 1 of the SPIE Submission

System• Academic Advisor Letter. Email to the Conference Programs

Coordinator ([email protected])• Include “10132 Student Paper Award” and paper number in the

subject line of your email.

The award winners will be recognized in the conference room on Thursday morning before the coffee break.

Physics of Medical Imaging Poster Presentation AwardsThe Physics of Medical Imaging conference will offer cash prizes as part of the poster presentation awards. Poster presentations must be displayed early on the first day of the Tuesday/Wednesday poster session to enter the competition. The space will be available to display posters beginning at 9:30 am on Tuesday. Award announcements will take place in the con-ference room before morning coffee break on Thursday.

SPONSORED BY

Image-Guided Procedures, Robotic Interventions, and Modeling Young Scientist and Poster Awards(CONFERENCE 10135)Thursday 16 February 2017 • 3:00 to 3:05 pm Location: Oceans 4

YOUNG SCIENTIST AWARDThis award is specific to papers in the Image-Guided Procedures, Robotic Interventions, and Modeling conference 10135.

The Young Scientist Award is a prize awarded to the first authors of high quality papers within the Image-Guided Procedures, Robotic Interventions, and Modeling conference.

SPONSORED BY

Deadline for full conference manuscript and academic advisor letter is 5 December 2016. The winner and runner up will be notified in late January and presented with their awards at the conference.



Applicant must:• the first author of a paper in the current program• an early career scientist• submit no later than 5 December 2016.

A letter from the author’s academic advisor attesting to their status as a stu-dent or postdoctoral fellow is required. Submitted manuscripts will be peer reviewed and judged both on their scientific merit and clinical relevance.

TO APPLY

Submit the following by 5 December 2016. Late submissions will not be accepted:

• Full manuscript formatted according to manuscript guidelines via the SPIE Submission System

• Include “Young Scientist Award” in Step 1 of the SPIE Submission System

• Academic Advisor Letter. Email to the Conference Programs Coordinator ([email protected])

• Include “Young Scientist Award” and paper number in the subject line of your email.

The award winners will be recognized on Thursday afternoon before the coffee break.

Poster Presentation Awards(CONFERENCE 10135) SPONSORED BY

The Image-Guided Procedures, Robotic Interventions, and Modeling conference will offer cash prizes as part of the poster presentation awards. Poster presentations must be displayed early on the first day of the Tuesday/Wednesday poster session to enter the competition. The space will be available to display posters beginning at 9:30 am on Tuesday. Award announcements will take place in the conference room before afternoon coffee break on Thursday.


PROSTATEX CHALLENGE 2017SPIE-AAPM-NCI Prostate MR Classification ChallengeSPIE, along with the support of the American Association of Physicists in Medicine (AAPM) and the National Cancer Institute (NCI), will conduct a “Grand Challenge” on quantitative image analysis methods for the diagnostic classification of clinically significant prostate lesions.

As part of the 2017 SPIE Medical Imaging Symposium, the PROSTATEx Challenge will provide a unique opportunity for participants to compare their algorithms with those of others from academia, industry, and government in a structured, direct way using the same data sets.

PROSTATEx Challenge 2017A special session at the 2017 SPIE Medical Im-aging Symposium will focus on the PROSTATEx Challenge, and the two top-performing partici-pants will present their methods during this ses-sion and receive free conference registration and publicity. Challenge participants who submit test set classification results by the 6 January 2017 deadline will be invited to present a poster and demonstrate their algorithm at the Live Demon-stration CAD Workshop during the Symposium.

Participants are encouraged to submit their work to the SPIE CAD conference proceedings volume as well as for peer review to the SPIE’s Journal of Medical Imaging.

PROSTATEx Challenge FormatThe database for this challenge will contain ap-proximately 350 MRI cases, each from a distinct patient at a single exam time. About 60% of the cases will serve as the training set and the remain-ing 40% as the test set with each case consisting of four sets of DICOM-formatted MRI scan data: T2-weighted images (transaxial and sagittal, DICOM format), Ktrans images (computed from dynamic contrast-enhanced (DCE) images, mdh format), and apparent diffusion coefficient (ADC) images (computed from diffusion-weighted (DWI) imaging, DICOM format). Each case will contain at least one prostate lesion with biop-sy-proven malignancy status or with imaging findings with sufficiently low suspicion of clinical significance. Lesion locations will be provided, but Gleason scores and PI_RADS scores will not be released with this challenge, since they will become the focus of a follow-up challenge to be held in conjunction with the 2017 AAPM Annual Meeting in July 2017.

Participants may use the training set cases in any manner they would like for the purpose of training their systems; there will be no restrictions on the use of the data or the advice sought from local experts for training purposes. The test set cases, however, are to be manipulated, processed, and analyzed without human intervention (although human-supervised delineation of the prostate gland border (not the lesion margin) will be al-lowed, if the operation of a computerized system requires such input).

IMPORTANT DATES:- Release date of training set

cases with truth: 21 Nov 2016- Release date of test set cases

without truth: 12 Dec 2016- Submission date for

participants’ test set classification output: 15 Jan 2017

- Challenge results released to participants: 20 Jan 2017

Participants are free to download the training set and, subsequently, the test set when these datasets become available. It is important to note that once participants submit their test set classi-fication output to the challenge organizers, they will be considered fully vested in the Challenge, and their performance results (without links to the identity of the participant) will become part of any presentations or publications derived from the Challenge at the discretion of the organizers. The truth associataed with the test set cases is expected to be made publicly available after the publication of the PROSTATEx Challenge and its planned follow-up challenge.

Participation in the PROSTATEx Challenge acknowledges the educational, friendly com-petition, and community-building nature of this challenge and commits to conduct consistent with this spirit for the advancement of the medical imaging research community. See the Guest Ed-itorial online: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned for a discussion of lessons learned from the 2015 LUNGx Challenge, also sponsored by SPIE, AAPM, and NCI.

The data used in this challenge was prepared by The Cancer Imaging Archive (TCIA).

ORGANIZERS AND MAJOR CONTRIBUTORS:

Sam Armato, The Univ. of Chicago (USA)

Henkjan Huisman, Radboud Univ. (Netherlands)

Karen Drukker, The Univ. of Chicago (USA)

Keyvan Farahani, National Institutes of Health (USA)

Nicholas Petrick, U.S. Food and Drug Administration (USA)

Maryellen Giger, The Univ. of Chicago (USA)

Lubomir Hadjiiski, Univ. of Michigan (USA)

Jayashree Kalpathy-Cramer, Harvard Univ. (USA)

Artem Mamonov, Harvard Univ. (USA)

Robert Nordstrom, National Institutes of Health (USA)

Justin Kirby, National Institutes of Health (USA)

George Redmond, National Institutes of Health (USA)

Joel Saltz, Stony Brook Univ. (USA)

Shayna Knazik, AAPM (USA)

Diane Cline, SPIE

Robbine Waters, SPIE ([email protected])


USCT DATA CHALLENGE 2017Ultrasound Computer Tomography is an exciting new technology mostly aimed at breast cancer imaging. Due to the complex interaction of ultrasound with human tissue, the large amount of raw data, and large imaged volumes, image reconstruction is challenging both from the physical and the computational point of view. Many different image reconstruction methods can be applied, ranging from simple ray based methods to full inversion of the acoustic wave equation. While the ray algorithms offer fast reconstruction the inversion algorithms promise high image quality and resolution.

This challenge aims on applying available image reconstruction algorithms on provided USCT data in order to establish a first intercommunication and open data interface specifications.

USCT Data Challenge 2017In recent years various groups have proposed a number of different approaches for image reconstruction. Direct comparison and analysis of the algorithms is difficult as they are usually applied to simulated data or – if available – to real data acquired with very different measurement setups. The relatively few experimental data sets are usually not commonly available. Even if they would be readily available the different experimental setups require usually massive ad-aptations for data handling and system modeling for the reconstruction algorithms.

To mend this gap within the US(C)T community a long term aim is to establish user friendly and easy to use interfaces between available reconstruction algorithms and raw data of different USCT devices. Also a reference database with freely available and open licensed USCT data for comparison of reconstruction algorithms should be established, maintained and updated. This should provide a tool for direct comparability of the algorithms using the same data for reconstruction. Additionally, the feedback about data and system architecture of the scientists working on reconstruction could help to drive further development of measurement setups.

This challenge aims on applying available image reconstruction algorithms on provided USCT data in order to establish a first intercommunication and open data interface specifications.

Feedback in form of field reports will be collect-ed, evaluated and summarized. Reconstructed images will be presented and compared. A poster session and panel discussion will provide time and space to develop a first specification of appropriate interfaces for the future.

Long term goals• Build up a free and open licensed reference USCT

data base, freely available for the whole community. Enabling reproducible comparison of image recon-struction algorithms and USCT systems.

• Establish user friendly and easy to use interfaces, standards and data formats between the different USCT systems and their reconstruction algorithms, software and data formats.

• Identify properties of systems, experimental setups, data, and algorithms towards optimal images.

Aim of this challenge• Apply your existing image reconstruction algorithms

to real 2D and 3D USCT data! The aim is to identify best practices, to establish specifications for inter-faces and a first comparison of reconstructed images.

Provided data and format• 2D and 3D data of multiple material phantoms • Data comes with interface software (MATLAB) to

retrieve A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. Also an empty measurement will be provided.

• The interface software will be available via GitHub download, the data can be accessed via FTP.

• Online support for participants will be available by a forum within the GITHub framework

Rules • Material will be provided using a free and open

license, i.e. the BSD 2-clause license for code and data, allowing free use and publication of results.

IMPORTANT DATES:- Release of data sets:

20 Oct 2016- Submission date for results:

15 Jan 2017- Panel discussion:

14 Feb 2017- Poster session:

12-16 Feb 2017

• After the challenge the data sets may remain with the participants, can be used for additional research and other purposes. Further publication and results should follow good academic attribution practices and cite a later follow up paper as e.g. “Nicole V. Ruiter, Michael Zapf, Torsten Hopp, Koen van Don-gen: USCT data challenge, in Medical Imaging 2017: Ultrasonic Imaging and Tomography, Proceedings of SPIE (in press)”

• Participants are encouraged to a submit field report, used methods and results at deadline: Filled out form of the provided field report template, algorithm iden-tification (e.g. citation of paper), and – if available – reconstructed images and performance results.

• Participants agree that their participation and their results may be published in connection with their names and affiliations, also under a free and open license and open access standards

Data and code accessFor this challenge we provide two types of data and code:• 3D KIT USCT data with data access interface soft-

ware. • 2D TU Delft USCT data with data access interface

software. For details see information on data access.

Results to be submitted• Field report on the experience of the use of the data.

A template can be downloaded here • If available:

- Analysis of causes for failure (e.g. SNR of data, applied high frequencies, 3D setup, sparseness of system, etc.)

- Reconstructed images (reflectivity, speed of sound and / or attenuation) of data set(s)

- Algorithm description - Performance results: duration of reconstruction

including preprocessing, hardware used for re-construction, memory requirements

Collection, evaluation and publication of results• Participants are invited to share their results, feed-

back and suggestions at the poster session of the SPIE Ultrasonic Imaging and Tomography confer-ence.

• A special session of the 2017 SPIE Medical Imaging Symposium will focus on the USCT Data Challenge. An open panel discussion with an initial overview of submitted feedback and results will be held with the aim to collect information for a common interface and identify future directions towards the proposed long term goals

• Possible conclusive paper of results, e.g. Journal of Medical Imaging, inclusion as coauthor(s).


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COURTESY OF

SPIE MEDICAL IMAGINGPLAN YOUR WEEK


PRECISION MEDICINEHear the latest advances in Precision Medicine

The SPIE Medical Imaging Precision Medicine track highlights papers that showcase innovative ways to apply this multidimensional / multidisciplinary technology.

PRECISION MEDICINE:An emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person is being highlighted in this year’s program. Information regarding the Precision Medicine Initiative is available at: www.whitehouse.gov/precision-medicine.

Precision Medicine Track(ORDERED BY CONFERENCE AND PAPER NUMBER)

Nanoparticle imaging probes for molecular imaging with computed tomography and application to cancer imagingPaper 10132-32Ryan K. Roeder, Univ. of Notre Dame (USA), et al.Conference 10132: Physics of Medical ImagingSession 7: Photon Counting I: Instrumentation

First experience with x-ray dark-field radiography for human chest imagingPaper 10132-40Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. Munchen (Germany), et al.Conference 10132: Physics of Medical ImagingSession 9: Phase Contrast Imaging

Affordable CZT SPECT with dose-time minimizationPaper 10132-55James W. Hugg, Kromek (USA), et al.Conference 10132: Physics of Medical ImagingSession 11: Nuclear Medicine and Magnetic Resonance Imaging

False dyssynchrony: problem with image-based cardiac functional analysis using x-ray computed tomographyPaper 10132-65Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA), et al.Conference 10132: Physics of Medical ImagingSession 13: Modeling and Simulations I: CT

Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fractionPaper 10132-68Thomas J. Sauer, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA), et al.Conference 10132: Physics of Medical ImagingSession 14: Modeling and Simulations II: Breast Imaging

A patch-based CBCT scatter artifact correction using prior CTPaper 10132-80Xiaofeng Yang, Emory Univ. (USA), et al.Conference 10132: Physics of Medical ImagingSession PS1: Posters: Cone-Beam CT

Estimation of non-solid lung nodule volume with screening and sub-screening CT protocols: effect of reconstruction algorithm and measurement methodPaper 10132-97Marios A. Gavrielides, U.S. Food and Drug Administration (USA), et al.Conference 10132: Physics of Medical ImagingSession PS2: Posters: CTI: New Technologies and Corrections

Spectral CT applicability to bariatric patient sizePaper 10132-120Yoad Yagil, Philips Medical Systems Technologies Ltd. (Israel), et al.Conference 10132: Physics of Medical ImagingSession PS4: Posters: Photon Counting: Spectral CT, Insturmentation, and Algorithms

Lung nodule volume quantification and shape differentiation with an ultra-high resolution technique on a photon counting detector CT systemPaper 10132-137Shuai Leng, Mayo Clinic (USA), et al.Conference 10132: Physics of Medical ImagingSession PS4: Posters: Photon Counting: Spectral CT, Insturmentation, and Algorithms

Quantification of the uncertainty in coronary CTA plaque measurements using dynamic cardiac phantom and 3D-printed plaque modelsPaper 10132-197Taylor W. Richards, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA), et al.Conference 10132: Physics of Medical ImagingSession PS10: Posters: Observers, Modeling, and Phantoms

First in-vivo x-ray dark-field chest radiography: a feasibility study in a living pigPaper 10132-204Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. Munchen (Germany), et al.Conference 10132: Physics of Medical ImagingSession PS11: Posters: Phase Contrast and Dark Field Imaging

Fully automated lobe-based airway taper index calculation in a low dose MDCT CF study over 4 time-pointsPaper 10133-30Oliver Weinheimer, Ruprecht-Karls-Univ. Heidelberg (Germany), et al.Conference 10133: Image ProcessingSession 6: Quantitative Image Analysis

Pseudo CT estimation from MRI using patch-based random forestPaper 10133-68Xiaofeng Yang, Emory Univ. (USA), et al.Conference 10133: Image ProcessingSession PS1: Posters

Personalized design and virtual evaluation of physician-modified stent grafts for juxta-renal abdominal aortic aneurysmsPaper 10133-85Prahlad G. Menon, Duquesne Univ. (USA), et al.Conference 10133: Image ProcessingSession PS1: Posters

Automatic polyp detection in colonoscopy videosPaper 10133-94Zijie Yuan, Arizona State Univ. (USA), et al.Conference 10133: Image ProcessingSession PS1: Posters


Precision Medicine TrackComputer-aided detection of bladder masses in CT urographyPaper 10134-2Kenny H. Cha, Univ. of Michigan (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 1: Pelvis

Bladder cancer treatment response assessment using deep learning in CT with transfer learningPaper 10134-3Kenny H. Cha, Univ. of Michigan (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 1: Pelvis

The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scansPaper 10134-10Nastaran Emaminejad, Univ. of California, Los Angeles (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 2: Lung I

Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonographyPaper 10134-15Hiroyuki Yoshida, Massachusetts General Hospital (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 3: Colon and G.I.

Computer-assisted optical biopsy for colorectal polypsPaper 10134-18Fernando Navarro, Technische Univ. Munchen (Germany), et al.Conference 10134: Computer-Aided DiagnosisSession 3: Colon and G.I.

Computer-aided theragnosis using quantitative ultrasound methods and convolutional neural networksPaper 10134-29Mehrdad J. Gangeh, Univ. of Toronto (Canada), et al.Conference 10134: Computer-Aided DiagnosisSession 5: Breast I

Quantification of CT images for the classification of high- and low-risk pancreatic cystsPaper 10134-31Jayasree Chakraborty, Memorial Sloan-Kettering Cancer Ctr. (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 6: Liver and Abdomen

Preoperative assessment of microvascular invasion in hepatocellular carcinomaPaper 10134-34Jayasree Chakraborty, Memorial Sloan-Kettering Cancer Ctr. (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 6: Liver and Abdomen

Validation of an image registration and segmentation method on ECG-gated CT data of a physical dynamic stent graft modelPaper 10134-42Maaike Koenrades, Univ. of Twente (Netherlands), et al.Conference 10134: Computer-Aided DiagnosisSession 9: Vessels

IDH mutant status assessment of glioma using three-dimensional texture features of multimodal MR imagesPaper 10134-61Xi Zhang, Fourth Military Medical Univ. (China), et al.Conference 10134: Computer-Aided DiagnosisSession 13: Brain

Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomicsPaper 10134-62Ashirbani Saha, Duke Univ. (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 13: Brain

Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastomaPaper 10134-63Niha G. Beig, Case Western Reserve Univ. (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 13: Brain

Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancerPaper 10134-68Lubomir M. Hadjiiski, Univ. of Michigan Health System (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 14: Head and Neck

Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodulesPaper 10134-71Chuan Zhou, Univ. of Michigan Health System (USA), et al.Conference 10134: Computer-Aided DiagnosisSession 15: Lung II

Identifying prognostic imaging biomarkers by extracting high-risk volumes of glioblastoma on multi-parametric MRIPaper 10134-84Ruijiang Li, Stanford Univ. School of Medicine (USA), et al.Conference 10134: Computer-Aided DiagnosisSession PS1: Posters: Brain

Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networksPaper 10134-85Mohammadhassan Izady Yazdanabadi, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Ctr. (USA), et al.Conference 10134: Computer-Aided DiagnosisSession PS1: Posters: Brain

Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learningPaper 10134-86Javier Villafruela, Univ. of Calgary (Canada), et al.Conference 10134: Computer-Aided DiagnosisSession PS1: Posters: Brain

Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?Paper 10134-93Susan M. Astley, The Univ. of Manchester (United Kingdom), et al.Conference 10134: Computer-Aided DiagnosisSession PS2: Posters: Breast

Using estimated weight to predict breast cancer riskPaper 10134-101Susan M. Astley, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom), et al.Conference 10134: Computer-Aided DiagnosisSession PS2: Posters: Breast

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancerPaper 10134-133Jie Tian, Key Lab. of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences (China), et al.Conference 10134: Computer-Aided DiagnosisSession PS8: Posters: Lung

Volume calculation of CT lung lesions based on Halton low-discrepancy sequencesPaper 10134-137Liansheng Wang, Xiamen Univ. (China), et al.Conference 10134: Computer-Aided DiagnosisSession PS8: Posters: Lung

Applying radiomics approach for predicting tumor response to chemotherapy at early stage: an initial study for ovarian cancer patientsPaper 10134-151Yuchen Qiu, The Univ. of Oklahoma (USA), et al.Conference 10134: Computer-Aided DiagnosisSession PS10: Posters: Pelvis


Towards quantitative quasi-static elastography with a gravity-induced deformation sourcePaper 10135-1Rebekah H. Griesenauer, Vanderbilt Univ. (USA), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 1: Modeling Tissue Deformation

3D surface estimation from sparse electrophysiological measurements and integration with preoperative MRI in deep brain stimulation surgeryPaper 10135-16Andreas Husch, Ctr. Hospitalier de Luxembourg (Luxembourg), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 3: Neurosurgical Procedures

Image-guided smart laser system for precision implantation of cells in cartilagePaper 10135-30Nitesh Katta, The Univ. of Texas at Austin (USA), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 7: Optical Sensing

Concentric agonist-antagonist robots for minimally invasive surgeriesPaper 10135-36Kaitlin P. Oliver Butler, The Univ. of Tennessee Knoxville (USA), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 8: Novel Robots and Robotic Procedures

Patient-specific indirectly 3D printed mitral valves for pre-operative surgical modellingPaper 10135-42Olivia Ginty, Robarts Research Institute (Canada), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 9: Cardiac Procedures

Patient specific atrial models for pre-procedure surgical planningPaper 10135-45Justin Laing, Western Univ. (Canada), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession 9: Cardiac Procedures

Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGearsPaper 10135-64Lucas N. Potter, Old Dominion Univ. (USA), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession PS1: Posters

Patient identification using a near-infrared laser scannerPaper 10135-92Jirapong Manit, Univ. zu Lübeck (Germany), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession PS1: Posters

Real- time liver tumour tracking with low contrast radiopaque markersPaper 10135-101Sankar Arumugam, Liverpool and Macarthur Cancer Therapy Ctrs. (Australia), et al.Conference 10135: Image-Guided Procedures, Robotic Interventions, and ModelingSession PS1: Posters

Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?Paper 10136-57Michael R. Harowicz, Duke Univ. School of Medicine (USA), et al.Conference 10136: Image Perception, Observer Performance, and Technology AssessmentSession PS5: Posters: Image Perception and Technology Assessment in Breast Imaging

Use of patient specific 3D printed neurovascular phantoms to evaluate the clinical utility of a high resolution x-ray imager.Paper 10137-17Swetadri Vasan Setlur Nagesh, Toshiba Stroke and Vascular Research Ctr. (USA), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession 5: Fluid and Cardiovascular

Phenotypic feature quantification of patient derived 3D cancer spheroids in fluorescence microscopy imagePaper 10137-29Mi-Sun Kang, Ewha Womans Univ. (Korea, Republic of), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession 7: Innovations in Image Processing I

Disease quantification on PET/CT images without object delineationPaper 10137-30Yubing Tong, Univ. of Pennsylvania School of Medicine (USA), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession 7: Innovations in Image Processing I

Tracking cancer-specific T-cells in vivo with gold nanoparticles and CT imagingPaper 10137-44Rinat Meir, Bar-Ilan Univ. (Israel), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession 9: Novel Imaging Methods

Nonrigid 2D registration of whole fluoroscopic coronary artery image sequence with periodic deformation fieldPaper 10137-67Taewoo Park, Hankuk Univ. of Foreign Studies (Korea, Republic of), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession PS4: Posters: Fluid and Cardiovascular

Photothermal characterization of gold nanorods for superficial breast cancer therapy in an engineered 3 dimensional human decellularized adipose tissue platformPaper 10137-73Ki-Hwan Nam, Korea Basic Science Institute (Korea, Republic of), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession PS6: Posters: Innovations in Image Processing

Early classification of Alzheimer’s disease using hippocampal texture from structural MRIPaper 10137-85Yong Liu, Institute of Automation (China), et al.Conference 10137: Biomedical Applications in Molecular, Structural, and Functional ImagingSession PS7: Posters: Machine Learning

Phenotype analysis of early risk factors from electronic medical records improves image-derived diagnostic classifiers for optic nerve pathologyPaper 10138-13Shikha Chaganti, Vanderbilt Univ. (USA), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 3: Precision Medicine

The development and implementation of MOSAIQ Integration Platform (MIP) based on the radiotherapy workflowPaper 10138-14Xin Yang, Sun Yat-Sen Univ. Cancer Ctr. (China), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 3: Precision Medicine

Feasibility of fabricating personalized 3D-printed bone grafts guided by high-resolution imagingPaper 10138-22Abigail Hong, Univ. of Pennsylvania (USA), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 6: Novel Applications in 3D Printing

3D printed abdominal aortic aneurysm phantom for image guided surgical planning with a patient specific fenestrated endovascular graft systemPaper 10138-23Karen M. Meess, The Jacobs Institute, Inc. (USA), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 6: Novel Applications in 3D Printing

Precision Medicine Track


Design optimization for accurate flow simulations in 3D printed vascular phantoms derived from computed tomography angiographyPaper 10138-25Kelsey N. Sommer, Toshiba Stroke and Vascular Research Ctr. (USA), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 6: Novel Applications in 3D Printing

Initial retrospective FFR investigation using flow measurements in patient specific 3D printed coronary phantomsPaper 10138-26Lauren Shepard, Univ. at Buffalo (USA), et al.Conference 10138: Imaging Informatics for Healthcare, Research, and ApplicationsSession 6: Novel Applications in 3D Printing

Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse dataPaper 10139-7Hongxiang Lin, The Univ. of Tokyo (Japan), et al.Conference 10139: Ultrasonic Imaging and TomographySession 2: Ultrasound Tomography and Photoacoustics

Quantitative 3D high resolution transmission ultrasound tomography: creating clinically relevant imagesPaper 10139-33James Wiskin, QT Ultrasound LLC (USA), et al.Conference 10139: Ultrasonic Imaging and TomographySession 7: New Applications of Ultrasound in Medicine and Biology

Automatic computational labeling of glomerular textural boundariesPaper 10140-15Pinaki Sarder, Univ. at Buffalo (USA), et al.Conference 10140: Digital PathologySession 3: Precision Medicine and Grading

Convolutional neural networks for prostate cancer recurrence predictionPaper 10140-16Neeraj Kumar, Indian Institute of Technology Guwahati (India), et al.Conference 10140: Digital PathologySession 3: Precision Medicine and Grading

Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathologyPaper 10140-17Pinaki Sarder, Univ. at Buffalo (USA), et al.Conference 10140: Digital PathologySession 4: Keynote and Trends

Precision Medicine Track

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Daily Conference Session ScheduleTIME Conference 10132 Conference 10133 Conference 10134 Conference 10135 Conference 10136 Conference 10137 Conference 10138 Conference 10139 Conference 10140

SUNDAY • 12 FEBRUARY8:00 TO 9:40 AM SESSION 1:

Deep Neural Networks (Falcão, Greenspan)

SESSION 1: KEYNOTE and Perception in Breast Imaging (Kupinski, Nishikawa)

SESSION 1: Optical (Intes, Yuan)

9:40 TO 10:10 AM COFFEE BREAK

10:10 AM TO 12:10 PM SESSION 2: KEYNOTE and Segmentation I (Nielsen, Dawant)

SESSION 2: Radiologists’ Performance (Gale, Hillis)

SESSION 2: Pulmonary (Amini, Tustison)

12:00 TO 9:00 PM Sunday/Monday Poster Viewing

Sunday/Monday Poster Viewing



12:10 TO 1:20 PM LUNCH BREAK

1:20 TO 3:00 PM SESSION 3: Computer Vision (Prince, Loew)

SESSION 3: Observer Performance in Mammography (Mazurowski, Krupinski)

SESSION 3: KEYNOTE (Krol, Gimi)

SESSION 1: Emerging Technologies (Gallas, Doyle)

3:00 TO 3:30 PM COFFEE BREAK

3:30 TO 5:30 PM SESSION 4: Segmentation: Brain (Pham, Haynor)

SESSION 4: Technology Assessment - Methodology (Gallas, Baek)

SESSION 4: Bone, Skeletal Imaging, and Biomechanics (Wismüller, Frangi)

SESSION 2: Detection and Segmentation (Krupinski, Moradi)

5:45 TO 7:45 PM WORKSHOP: Deep Learning in Medical Imaging Analysis

WORKSHOP: Virtual Clinical Trials for Breast Imaging

MONDAY • 13 FEBRUARY8:00 TO 9:40 AM SESSION 1:

Tomosynthesis and Mammography (Kim, Sabol)

SESSION 5: Brain: fMRI and DTI (Bagci, Styner)

SESSION 1: Pelvis (Chan)

SESSION 5: Model Observers (Gifford, Bochud)

SESSION 5: Fluid and Cardiovascular (Amini, Frangi)

SESSION 3: Precision Medicine and Grading (Yener, Aksoy)


10:10 AM TO 12:10 PM SESSION 2: Detectors (Karim, Rowlands)

SESSION 6: Quantitative Image Analysis (de Bruijne)

SESSION 2: Lung I (Tourassi, Greenspan)

SESSION 6: Technology Assessment- Applications (Brankov, Timberg)

SESSION 6: Neurological Imaging I (Wismüller, Tustison)

SESSION 4: KEYNOTE and Trends (Feldman, Yaffe)

12:10 TO 12:15 PM Poster Award Announcements


1:20 TO 3:40 PM SESSION 3: Joint Session with MI101 and MI105 Task-based Assessment in CT (Reiser, Xing)

SESSION 7: Registration (Gee, Staring)

SESSION 3: Colon and GI (Suzuki, Näppi)

SESSION 7: Joint Session with MI101 and MI105: Task-based Assessment in CT (Reiser, Xing)

SESSION 7: Innovations in Image Processing I (Manduca, Frangi)



4:00 TO 5:15 PM SYMPOSIUM-WIDE PLENARY PRESENTATION: APPLYING DEEP LEARNING TO MEDICAL IMAGING AND AWARD ANNOUNCEMENTS

5:30 TO 7:00 PM Sunday/Monday Posters Sunday/Monday Posters Sunday/Monday Posters

TUESDAY • 14 FEBRUARY8:00 TO 9:40 AM SESSION 4:

Cone Beam CT I: New Technologies and Corrections (Gilat-Schmidt, Stayman)

SESSION 8: Segmentation II (Linguraru, Udupa)

SESSION 4: Cardiac (Deserno)

SESSION 1: Modeling Tissue Deformation (Miga, Jannin)

SESSION 8: Machine Learning (Wismüller, Li)


10:10 AM TO 12:10 PM SESSION 5: CT: Reconstruction and Algorithms (Boedeker, Grass)

SESSION 9: Shape (Saha, Vrtovec)

SESSION 5: Breast I (Fujita, Astley)

SESSION 2: Registration (Haynor, Birkfellner)

SESSION 9: Novel Imaging Methods (Krol, Kodibagkar)

12:10 TO 9:00 PM Tuesday/Wednesday Poster Viewing

Poster Award Announcements Tuesday/Wednesday Poster Viewing

Tuesday/Wednesday Poster Viewing




1:20 TO 3:00 PM SESSION 6: KEYNOTE and Radiation Dose (Flohr, Lo)

SESSION 10: Population-based Methods (Išgum, Landman)

SESSION 6: Liver and Abdomen (Novak, Mori)

SESSION 3: Neurosurgical Procedures (de Ribaupierre, Simpson)

SESSION 10: Innovations in Image Processing II (Manduca, Intes)




SUNDAY • 12 FEBRUARY8:00 TO 9:40 AM SESSION 1:

Deep Neural Networks (Falcão, Greenspan)

SESSION 1: KEYNOTE and Perception in Breast Imaging (Kupinski, Nishikawa)

SESSION 1: Optical (Intes, Yuan)


10:10 AM TO 12:10 PM SESSION 2: KEYNOTE and Segmentation I (Nielsen, Dawant)

SESSION 2: Radiologists’ Performance (Gale, Hillis)

SESSION 2: Pulmonary (Amini, Tustison)

12:00 TO 9:00 PM Sunday/Monday Poster Viewing





1:20 TO 3:00 PM SESSION 3: Computer Vision (Prince, Loew)

SESSION 3: Observer Performance in Mammography (Mazurowski, Krupinski)

SESSION 3: KEYNOTE (Krol, Gimi)

SESSION 1: Emerging Technologies (Gallas, Doyle)


3:30 TO 5:30 PM SESSION 4: Segmentation: Brain (Pham, Haynor)

SESSION 4: Technology Assessment - Methodology (Gallas, Baek)

SESSION 4: Bone, Skeletal Imaging, and Biomechanics (Wismüller, Frangi)

SESSION 2: Detection and Segmentation (Krupinski, Moradi)

5:45 TO 7:45 PM WORKSHOP: Deep Learning in Medical Imaging Analysis

WORKSHOP: Virtual Clinical Trials for Breast Imaging

MONDAY • 13 FEBRUARY8:00 TO 9:40 AM SESSION 1:

Tomosynthesis and Mammography (Kim, Sabol)

SESSION 5: Brain: fMRI and DTI (Bagci, Styner)

SESSION 1: Pelvis (Chan)

SESSION 5: Model Observers (Gifford, Bochud)

SESSION 5: Fluid and Cardiovascular (Amini, Frangi)

SESSION 3: Precision Medicine and Grading (Yener, Aksoy)


10:10 AM TO 12:10 PM SESSION 2: Detectors (Karim, Rowlands)

SESSION 6: Quantitative Image Analysis (de Bruijne)

SESSION 2: Lung I (Tourassi, Greenspan)

SESSION 6: Technology Assessment- Applications (Brankov, Timberg)

SESSION 6: Neurological Imaging I (Wismüller, Tustison)

SESSION 4: KEYNOTE and Trends (Feldman, Yaffe)



1:20 TO 3:40 PM SESSION 3: Joint Session with MI101 and MI105 Task-based Assessment in CT (Reiser, Xing)

SESSION 7: Registration (Gee, Staring)

SESSION 3: Colon and GI (Suzuki, Näppi)

SESSION 7: Joint Session with MI101 and MI105: Task-based Assessment in CT (Reiser, Xing)

SESSION 7: Innovations in Image Processing I (Manduca, Frangi)



4:00 TO 5:15 PM SYMPOSIUM-WIDE PLENARY PRESENTATION: APPLYING DEEP LEARNING TO MEDICAL IMAGING AND AWARD ANNOUNCEMENTS

5:30 TO 7:00 PM Sunday/Monday Posters Sunday/Monday Posters Sunday/Monday Posters

TUESDAY • 14 FEBRUARY8:00 TO 9:40 AM SESSION 4:

Cone Beam CT I: New Technologies and Corrections (Gilat-Schmidt, Stayman)

SESSION 8: Segmentation II (Linguraru, Udupa)

SESSION 4: Cardiac (Deserno)

SESSION 1: Modeling Tissue Deformation (Miga, Jannin)

SESSION 8: Machine Learning (Wismüller, Li)


10:10 AM TO 12:10 PM SESSION 5: CT: Reconstruction and Algorithms (Boedeker, Grass)

SESSION 9: Shape (Saha, Vrtovec)

SESSION 5: Breast I (Fujita, Astley)

SESSION 2: Registration (Haynor, Birkfellner)

SESSION 9: Novel Imaging Methods (Krol, Kodibagkar)

12:10 TO 9:00 PM Tuesday/Wednesday Poster Viewing

Poster Award Announcements Tuesday/Wednesday Poster Viewing





1:20 TO 3:00 PM SESSION 6: KEYNOTE and Radiation Dose (Flohr, Lo)

SESSION 10: Population-based Methods (Išgum, Landman)

SESSION 6: Liver and Abdomen (Novak, Mori)

SESSION 3: Neurosurgical Procedures (de Ribaupierre, Simpson)

SESSION 10: Innovations in Image Processing II (Manduca, Intes)




TUESDAY • 14 FEBRUARY3:30 TO 4:50 PM SESSION 7:

Photon Counting I: Instrumentation (Danielsson, Yu)

SESSION 11: Image Enhancement (Angelini)

SESSION 7: Musculoskeletal and Dermatology (Petrick, Yoshida)

SESSION 4: Spine Interventions (Linte, Holmes III)

SESSION 11: Neurological Imaging II (Wismüller, Tustison)

5:00 TO 7:00 PM WORKSHOP: Live Demonstrations (Chan, Hahn)

18TH SPIE/IFCARS JOINT WORKSHOP: Information Management, Systems Integration, Standards, and Approval Issues the Digital Operating Room (Berliner, Lemke)

Poster Award Announcements 18TH SPIE/IFCARS JOINT WORKSHOP: Information Management, Systems Integration, Standards, and Approval Issues the Digital Operating Room (Berliner, Lemke)

WORKSHOP: Ultrasound Computed Tomography Data Challenge Panel Discussion (Ruiter, van Dongen)

WEDNESDAY • 15 FEBRUARY8:00 TO 9:40 AM SESSION 8:

Cone Beam CT II: Optimization and Reconstruction (Drangova, Kachelrieß)

SESSION 8: KEYNOTE and Reviewers’ Choice (Petrick, Tourassi)

SESSION 5: Cochlear Implantation (Wiles, Yaniv)

SESSION 1: Clinical Applications for Image Processing (Lemke)

SESSION 1: Motion and Deformation Imaging (Heyde)


10:10 AM TO 12:10 PM SESSION 9: Phase Contrast Imaging (Chen, Das)

SESSION 9: Vessels (Fetita, de Bruijne)

SESSION 6: KEYNOTE and Percutaneous Procedures (Webster III, Fei)

SESSION 2: Big Data and Machine Learning (Chen)

SESSION 2: Ultrasound Tomography and Photoacoustics (Ruiter)


1:20 TO 3:00 PM SESSION 10: Photon Counting II: Algorithms (Glick, Noel)

SESSION 10: PROSTATEx Challenge (Armato, Drukker)

SESSION 7: Optical Sensing (Seibel, Maier-Hein)

SESSION 3: Precision Medicine (Liu)

SESSION 3: Ultrasound Image Analysis and Tissue Characterization (Varray)


3:30 TO 5:30 PM SESSION 11: Nuclear Medicine and Magnetic Resonance Imaging (Hoeschen, Qi)

SESSION 11: Breast II (Giger, Karssemeijer)

SESSION 8: Novel Robots and Robotic Procedures (Kwartowitz, Fichtinger)

SESSION 4: Advances in the Informatics of Therapeutics (Zhang)

SESSION 4: KEYNOTE and Blood Flow Imaging (Løvstakken)

5:30 TO 7:00 PM POSTERS - Tuesday/Wednesday

POSTERS - Tuesday/Wednesday



Poster Award Announcements


THURSDAY • 16 FEBRUARY8:00 TO 9:40 AM SESSION 12:

New Systems and Technologies (Fahrig, Yorkston)

SESSION 12: Eye (Mériaudeau, Linguraru)

SESSION 9: Cardiac Procedures (Rettmann, Shechter)

SESSION 5: KEYNOTE (Zhang)

SESSION 5: Ultrasound Tomography II (Duric)

9:40 AM TO 9:45 AM Poster Award Announcements Poster Award Announcements


10:10 AM TO 12:10 PM SESSION 13: Modeling and Simulations I: CT (Kontos, Yu)

SESSION 13: Brain (Iftekharuddin, Aylward)

SESSION 10: Joint Session with Conferences MI104 and MI108: Ultrasound Image Guidance (Abolmaesumi, Bamber)

SESSION 6: Novel Applications in 3D Printing (Horii)




1:20 TO 3:00 PM SESSION 14: Modeling and Simulations II: Breast Imaging (Bosmans, Tingberg)

SESSION 14: Head and Neck (Hadjiyski, Yang)

Session 11: Anatomical Measurement and Respiratory Tracking (Higgins, Speidel)

SESSION 7: Cloud-based Innovations (Cook)

SESSION 7: New Applications of Ultrasound in Medicine and Biology (Anastasio)



3:30 TO 5:30 PM SESSION 15: Breast Imaging: Tomosynthesis (Badal, Zhao)

SESSION 15: Lung II (Armato, Wiemker)

Session 12: Segmentation (Wolf, Grevera)

SESSION 8: Innovations in Workflow (Deserno)

SESSION 8: Novel Beamforming Techniques (Roy)



TUESDAY • 14 FEBRUARY3:30 TO 4:50 PM SESSION 7:

Photon Counting I: Instrumentation (Danielsson, Yu)

SESSION 11: Image Enhancement (Angelini)

SESSION 7: Musculoskeletal and Dermatology (Petrick, Yoshida)

SESSION 4: Spine Interventions (Linte, Holmes III)

SESSION 11: Neurological Imaging II (Wismüller, Tustison)

5:00 TO 7:00 PM WORKSHOP: Live Demonstrations (Chan, Hahn)

18TH SPIE/IFCARS JOINT WORKSHOP: Information Management, Systems Integration, Standards, and Approval Issues the Digital Operating Room (Berliner, Lemke)

Poster Award Announcements 18TH SPIE/IFCARS JOINT WORKSHOP: Information Management, Systems Integration, Standards, and Approval Issues the Digital Operating Room (Berliner, Lemke)

WORKSHOP: Ultrasound Computed Tomography Data Challenge Panel Discussion (Ruiter, van Dongen)

WEDNESDAY • 15 FEBRUARY8:00 TO 9:40 AM SESSION 8:

Cone Beam CT II: Optimization and Reconstruction (Drangova, Kachelrieß)

SESSION 8: KEYNOTE and Reviewers’ Choice (Petrick, Tourassi)

SESSION 5: Cochlear Implantation (Wiles, Yaniv)

SESSION 1: Clinical Applications for Image Processing (Lemke)

SESSION 1: Motion and Deformation Imaging (Heyde)


10:10 AM TO 12:10 PM SESSION 9: Phase Contrast Imaging (Chen, Das)

SESSION 9: Vessels (Fetita, de Bruijne)

SESSION 6: KEYNOTE and Percutaneous Procedures (Webster III, Fei)

SESSION 2: Big Data and Machine Learning (Chen)

SESSION 2: Ultrasound Tomography and Photoacoustics (Ruiter)


1:20 TO 3:00 PM SESSION 10: Photon Counting II: Algorithms (Glick, Noel)

SESSION 10: PROSTATEx Challenge (Armato, Drukker)

SESSION 7: Optical Sensing (Seibel, Maier-Hein)

SESSION 3: Precision Medicine (Liu)

SESSION 3: Ultrasound Image Analysis and Tissue Characterization (Varray)


3:30 TO 5:30 PM SESSION 11: Nuclear Medicine and Magnetic Resonance Imaging (Hoeschen, Qi)

SESSION 11: Breast II (Giger, Karssemeijer)

SESSION 8: Novel Robots and Robotic Procedures (Kwartowitz, Fichtinger)

SESSION 4: Advances in the Informatics of Therapeutics (Zhang)

SESSION 4: KEYNOTE and Blood Flow Imaging (Løvstakken)

5:30 TO 7:00 PM POSTERS - Tuesday/Wednesday




Poster Award Announcements


THURSDAY • 16 FEBRUARY8:00 TO 9:40 AM SESSION 12:

New Systems and Technologies (Fahrig, Yorkston)

SESSION 12: Eye (Mériaudeau, Linguraru)

SESSION 9: Cardiac Procedures (Rettmann, Shechter)

SESSION 5: KEYNOTE (Zhang)

SESSION 5: Ultrasound Tomography II (Duric)

9:40 AM TO 9:45 AM Poster Award Announcements Poster Award Announcements


10:10 AM TO 12:10 PM SESSION 13: Modeling and Simulations I: CT (Kontos, Yu)

SESSION 13: Brain (Iftekharuddin, Aylward)


SESSION 6: Novel Applications in 3D Printing (Horii)




1:20 TO 3:00 PM SESSION 14: Modeling and Simulations II: Breast Imaging (Bosmans, Tingberg)

SESSION 14: Head and Neck (Hadjiyski, Yang)

Session 11: Anatomical Measurement and Respiratory Tracking (Higgins, Speidel)

SESSION 7: Cloud-based Innovations (Cook)

SESSION 7: New Applications of Ultrasound in Medicine and Biology (Anastasio)



3:30 TO 5:30 PM SESSION 15: Breast Imaging: Tomosynthesis (Badal, Zhao)

SESSION 15: Lung II (Armato, Wiemker)

Session 12: Segmentation (Wolf, Grevera)

SESSION 8: Innovations in Workflow (Deserno)

SESSION 8: Novel Beamforming Techniques (Roy)


The Journal of Medical Imaging (JMI) provides a home for the peer-

reviewed communication and archiving of scientific developments,

translational and clinical applications, reviews, and recommendations

for the field.

The Journal of Medical Imaging covers fundamental and translational

research and applications focused on medical imaging, which continue

to yield physical and biomedical advancements in early detection,

diagnostics, and therapy of disease, as well as in the understanding

of normal.

Maryellen L. GigerThe University of ChicagoEditor-in-Chief

As a conference participant, your research is making important contributions to imaging developments. We ask you to consider the Journal of Medical Imaging as your journal of choice to publish this important work.

Benefits of Publishing in Journal of Medical Imaging– Wide availability to readers via the SPIE Digital Library

– Rapid publication; each article is published online when it is ready

– Open access for articles immediately with voluntary payment of $960 per article

– Coverage in ESC/Web of Science, Scopus, Pub Med and other relevant databases.

www.spie.org/jmi


CONFERENCE 10132Monday–Thursday 13–16 February 2017 • Proceedings of SPIE Vol. 10132

Physics of Medical ImagingConference Chairs: Thomas G. Flohr, Siemens Healthcare GmbH (Germany); Joseph Y. Lo, Duke Univ. Medical Ctr. (USA)

Conference Co-Chair: Taly Gilat Schmidt, Marquette Univ. (USA)

Program Committee: Andreu Badal, U.S. Food and Drug Administration (USA); Kirsten Boedeker, Toshiba Medical Research Institute USA (USA); Hilde Bosmans, Katholieke Univ. Leuven (Belgium); Guang-Hong Chen, Univ. of Wisconsin-Madison (USA); Mini Das, Univ. of Houston (USA); Mats E. Danielsson, KTH Royal Institute of Technology (Sweden); Maria Drangova, Robarts Research Institute (Canada); Rebecca Fahrig, Siemens Healthcare GmbH (Germany), Stanford Univ. School of Medicine (USA); Stephen J. Glick, U.S. Food and Drug Administration (USA), Univ. of Massachusetts Medical School (USA); Michael Grass, Philips Research (Germany); Christoph Hoeschen, Helmholtz Zentrum München GmbH (Germany); Marc Kachelriess, Deutsches Krebsforschungszentrum (Germany); Karim S. Karim, Univ. of Waterloo (Canada); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of); Despina Kontos, The Univ. of Pennsylvania Health System (USA); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany); Jinyi Qi, Univ. of California, Davis (USA); John A. Rowlands, Thunder Bay Regional Research Institute (Canada); John M. Sabol, GE Healthcare (USA); Joseph W. Stayman, Johns Hopkins Univ. (USA); Anders Tingberg, Lund Univ. (Sweden); Yuxiang Xing, Tsinghua Univ. (China); John Yorkston, Carestream Health, Inc. (USA); Lifeng Yu, Mayo Clinic (USA); Wei Zhao, Stony Brook Medicine (USA)

MONDAY 13 FEBRUARYSESSION 1

LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

Tomosynthesis and MammographySession Chairs: Hee-Joung Kim, Yonsei Univ. (Korea, Republic of);

John M. Sabol, GE Healthcare (USA)

8:00 am: GPU-accelerated compressed-sensing (CS) image reconstruction in chest digital tomosynthesis (CDT) using CUDA programming, Sunghoon Choi, Haenghwa Lee, Donghoon Lee, Seungyeon Choi, Yonsei Univ. (Korea, Republic of); Jungwook Shin, Woojin Jang, LISTEM (Korea, Republic of); Chang-Woo Seo, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . [10132-1]

8:20 am: Stationary intraoral tomosynthesis for dental imaging, Christina R. Inscoe, The Univ. of North Carolina at Chapel Hill (USA); Jing Shan, Xinvivo, Inc. (USA); Danai E. Soulioti, Gongting Wu, The Univ. of North Carolina at Chapel Hill (USA); Brian Gonzales, XinRay Systems Inc. (USA); Andrew Tucker, Xinvivo, Inc. (USA); Laurence Gaalaas, Michael R. Anderson, Univ. of Minnesota, Twin Cities (USA); Andre Mol, Jianping Lu, Otto Zhou, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-2]

8:40 am: An atlas-based organ dose estimator for tomosynthesis and radiography, Jocelyn Hoye, Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs, Duke Univ. (USA) and Duke Univ. Medical Physics Graduate Program (USA); Yakun Zhang, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA); Greeshma Agasthya, Duke Univ. Medical Ctr. (USA) and Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Gregory M. Sturgeon, Wiliam P. Segars, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA); Ehsan Samei, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA) and Duke Univ. Medical Physics Graduate Program (USA) . . . . . . [10132-3]

9:00 am: Lesion characterization in spectral photon-counting tomosynthesis, Erik Fredenberg, Philips Home Healthcare Solutions (Sweden); Karl Berggren, Philips Digital Mammography Sweden AB (Sweden) and Royal Institute of Technology (Sweden); Klaus Erhard, Philips Research (Germany); Mats Danielsson, KTH Royal Institute of Technology (Sweden); Matthew Wallis, NIHR Cambridge Biomedical Research Ctr., Addenbrooke’s Hospital (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-4]

9:20 am: Pipeline for effective denoising of digital mammography, Lucas R. Borges, Escola de Engenharia de Sao Carlos, Univ. de São Paulo (Brazil); Predrag R. Bakic, Alessandro Foi, Andrew D. A. Maidment, Univ. of Pennsylvania (USA); Marcelo A. C. Vieira, Escola de Engenharia de Sao Carlos, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-5]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mon 9:40 am to 10:10 am

SESSION 2LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

DetectorsSession Chairs: Karim S. Karim, Univ. of Waterloo (Canada); John A.

Rowlands, Thunder Bay Regional Research Institute (Canada)

10:10 am: Signal and noise characteristics of a CdTe-based photon counting detector: Cascaded systems analysis and experimental studies, Xu Ji, Ran Zhang, Yongshuai Ge, Guang-Hong Chen, Ke Li, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-6]

10:30 am: SWAD: transient conductivity and pulse-height spectrum, Jann Stavro, Wei Zhao, Amir H. Goldan, Stony Brook Univ. (USA) . . . . . [10132-7]

10:50 am: Direct measurement of Lubberts effect in CsI:Tl scintillators using single x-ray photon imaging, Adrian F. Howansky, Anthony R. Lubinsky, Stony Brook Univ. (USA); S. K. Ghose, Energy & Photon Sciences Directorate, Brookhaven National Lab. (USA); Katsuhiko Suzuki, Hamamatsu Photonics K.K. (Japan); Wei Zhao, Stony Brook Medicine (USA) . . . . . . . . . . . . . . . . . . . [10132-8]

11:10 am: Exploration of strategies for implementation of screen-printed mercuric iodide converters in direct detection AMFPIs for digital breast tomosynthesis, Larry E. Antonuk, Youcef El-Mohri, Qihua Zhao, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-9]

11:30 am: Temporal imaging for accurate time, space and energy localization of photoelectric events in monolithic scintillators, Alain Iltis, Damavan Imaging (France); Hichem Snoussi, Univ. de Technologie Troyes (France); Luc Rodrigues, Ghislain Zeufack Tadonkeng, Damavan Imaging (France) . . . . . . . . . . . [10132-10]

11:50 am: Towards a high sensitivity small animal PET system based on CZT detectors, Shiva Abbaszadeh, Stanford Univ. (USA); Craig Levin, Stanford Health Care (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-11]

Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mon 12:10 pm to 1:20 pm

SESSION 3LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . MON 1:20 PM TO 3:40 PM

Joint Session with MI101 and MI105

Task-based Assessment in CTSession Chairs: Ingrid S. Reiser, The Univ. of Chicago (USA); Yuxiang

Xing, Tsinghua Univ. (China)

1:20 pm: Development of local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging, Justin B. Solomon, Geoffrey D. Rubin, Taylor B. Smith, Brian Harrawood, Kingshuk R. Choudhury, Ehsan Samei, Duke Health (USA) . . . . . . . . . . [10136-32]

1:40 pm: Task-based image quality assessment in radiation therapy: initial characterization and demonstration with CT simulation images, Steven Dolly, Mark A. Anastasio, Washington Univ. in St. Louis (USA); Lifeng Yu, Mayo Clinic (USA); Hua Li, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-33]

2:00 pm: Task-based data-acquisition optimization for sparse image reconstruction systems, Yujia Chen, Yang Lou, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-34]

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2:20 pm: Dependence of quantitative accuracy of CT perfusion imaging on system parameters: A four-dimensional cascaded systems analysis, Ke Li, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-12]

2:40 pm: Joint optimization of fluene field modulation and regularization in task-driven computed tomography, Grace J. Gang, Jeffrey H. Siewerdsen, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . [10132-13]

3:00 pm: Pushing the boundaries of diagnostic CT systems for high spatial resolution imaging tasks, Juan Pablo Cruz-Bastida, Daniel Gomez-Cardona, John W. Garrett, Univ. of Wisconsin School of Medicine and Public Health (USA); Timothy P. Szczykutowicz, Univ. of Wisconsin-Madison (USA) and Univ. of Wisconsin School of Medicine and Public Health (USA); Guang-Hong Chen, Ke Li, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . [10132-14]

3:20 pm: Practical implementation of CHOs effect of ROI size, Andrea Ferrero, Christopher P. Favazza, Lifeng Yu, Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-15]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mon 3:40 pm to 4:00 pm

PLENARY AND AWARDS SESSIONLOCATION: CRYSTAL C . . . . . . . . . . . . . . . . MON 4:00 PM TO 5:15 PM

Best Student Paper Award Announcements The best student paper conference finalists and award winners will be recognized. The plenary presentation will follow immediately and will include time for questions.

Please join your colleagues for this important event.

SYMPOSIUM-WIDE PLENARY PRESENTATION Applying Deep Learning to Medical Imaging

MON 4:15 PM TO 5:15 PM

Greg Corrado, Google (USA)

See page 5 for details.

TUESDAY 14 FEBRUARYSESSION 4

LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . TUE 8:00 AM TO 9:40 AM

Cone Beam CT I: New Technologies and Corrections

Session Chairs: Taly Gilat-Schmidt, Marquette Univ. (USA); Joseph W Stayman, Johns Hopkins Univ. (USA)

8:00 am: Task-driven orbit design and implementation on a robotic C-arm system for cone-beam CT, Sarah Ouadah, Matthew W. Jacobson, Joseph W. Stayman, Johns Hopkins Univ. (USA); Tina Ehtiati, Siemens Healthineers (USA); Clifford R. Weiss, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . [10132-16]

8:20 am: Geometric calibration using line fiducials for cone-beam CT with general, non-circular source-detector trajectories, Matthew W. Jacobson, Michael D. Ketcha, Ali Uneri, Joseph Goerres, Tharindu de Silva, Sureerat Reaungamornrat, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-17]

8:40 am: Shading correction for cone-beam CT in radiotherapy: validation of dose calculation accuracy using clinical images, Thomas E. Marchant, The Christie NHS Foundation Trust (United Kingdom) and Univ. of Manchester (United Kingdom); Kiran D. Joshi, The Christie NHS Foundation Trust (United Kingdom); Christopher J. Moore, The Christie NHS Foundation Trust (United Kingdom) and Univ. of Manchester (United Kingdom) . . . . . . . . [10132-18]

9:00 am: Development and clinical translation of a cone-beam CT scanner for high-quality imaging of intracranial hemorrhage, Alejandro Sisniega, Jennifer Xu, Hao Dang, Wojciech Zbijewski, Joseph W. Stayman, Michael Mow, Vassilis E. Koliatsos, Nafi Aygun, Johns Hopkins Univ. (USA); Xiaohui Wang, David H. Foos, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-19]

9:20 am: NanoCT imaging of stained soft tissue samples, Mark Müller, Madleen Busse, Melanie A. Kimm, Simone Ferstl, Sebastian Allner, Martin Dierolf, Technische Univ. München (Germany); Per Takman, Tomi Tuohima, Björn Hansson, Excillum AB (Sweden); Franz Pfeiffer, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-20]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Tue 9:40 am to 10:10 am

SESSION 5LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . TUE 10:10 AM TO 12:10 PM

CT: Reconstruction and AlgorithmsSession Chairs: Kirsten Boedeker, Toshiba Medical Research Institute

USA, Inc. (USA); Michael Grass, Philips Research (Germany)

10:10 am: Patient-specific k-means-derived decorrelating transform for noise reduction and data compression in dynamic CT perfusion, Francesco Pisana, Deutsches Krebsforschungszentrum (Germany); Thomas Henzler, Stefan Schoenberg, Institute of Clinical Radiology and Nuclear Medicine, Ruprecht-Karls-Univ. Heidelberg (Germany); Bernhard Schmidt, Ernst Klotz, Siemens AG (Germany); Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-21]

10:30 am: Limits on estimating attenuation from ultra-low dose CT sinograms, Tzu-Cheng E. Lee, Ruoqiao Zhang, Adam M. Alessio, Univ. of Washington (USA); Lin Fu, Bruno De Man, GE Global Research (USA); Paul E. Kinahan, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . . . [10132-22]

10:50 am: Polyenergetic known-component reconstruction without prior shape models, Chengzhu Zhang, Wojciech Zbijewski, Xiaoxuan Zhang, Shiyu Xu, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . [10132-23]

11:10 am: Practical Interior tomography with small region piecewise model prior, Ryosuke Ueda, Takuya Nemoto, Hiroyuki Kudo, Univ. of Tsukuba (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-24]

11:30 am: SparseCT: Interrupted-beam acquisition and sparse reconstruction for radiation dose reduction, Thomas Koesters, Florian Knoll, NYU School of Medicine (USA); Aaron Sodickson, Harvard Medical School (USA); Daniel K. Sodickson, Ricardo Otazo, NYU School of Medicine (USA) . . . . . . . . . . [10132-25]

11:50 am: Localized and efficient cardiac CT reconstruction, Darin P. Clark, Cristian T. Badea, Duke Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-26]

TUESDAY/WEDNESDAY POSTER VIEWINGLOCATION: OCEANS BALLROOM . . . . . . . . . . 12:00 PM TO 9:00 PM

Posters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Tue 12:10 pm to 1:20 pm

SESSION 6LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . . TUE 1:20 PM TO 3:00 PM

Keynote and Radiation DoseSession Chairs: Thomas Flohr, Siemens Healthineers (Germany);

Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs. (USA)

1:20 pm: Driving CT developments the last mile: case examples of successful and somewhat less successful translations into clinical practice (Keynote Presentation), Aaron Sodickson, Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-27]

2:20 pm: Dose comparison between CTDI and the AAPM Report No. 111 methodology in adult, adolescent, and child head phantoms, Celina L. Li, The Univ. of British Columbia (Canada); Yogesh Thakur, Vancouver Coastal Health (Canada); Nancy L. Ford, The Univ. of British Columbia (Canada) . . . . . [10132-28]

2:40 pm: Skin dose mapping for non-uniform x-ray fields using a backscatter point spread function, Sarath Vijayan, Zhenyu Xiong, Alok Shankar, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA); Stephen Rudin, Daniel R. Bednarek, Univ. at Buffalo (USA) . . . . . . . . . . [10132-29]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Tue 3:00 pm to 3:30 pm

CONFERENCE 10132


SESSION 7LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . .TUE 3:30 PM TO 4:50 PM

Photon Counting I: InstrumentationSession Chairs: Mats Danielsson, KTH Royal Institute of Technology

(Sweden); Lifeng Yu, Mayo Clinic (USA)

3:30 pm: Effect of spatio-energy correlation in PCD due to charge sharing, scatter and secondary photons, Paurakh L. Rajbhandary, Scott S. Hsieh, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-30]

3:50 pm: Improving material separation of high-flux whole-body photon counting computed tomography by K-edge pre-filtration, Christoph Polster, Ludwig-Maximilians-Univ. München (Germany) and Siemens Healthineers (Germany); Ralf Gutjahr, Siemens Healthineers (Germany) and Informatikanwendungen in der Medizin & Augmented Reality (CAMP), Technische Univ. München (Germany); Steffen Kappler, Karl Stierstorfer, Siemens AG (Germany); Matthias Berner, Siemens Healthineers (Germany); Thomas G. Flohr, Siemens AG (Germany); Olaf Dietrich, Ludwig-Maximilians-Univ. Hospital München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-31]

4:10 pm: Nanoparticle imaging probes for molecular imaging with computed tomography and application to cancer imaging, Ryan K. Roeder, Univ. of Notre Dame (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-32]

4:30 pm: Ultra-high spatial resolution, multi-energy CT using photon counting detector technology, Shuai Leng, Mayo Clinic (USA); Ralf Gutjahr, Siemens Healthineers (Germany); Andrea Ferrero, Mayo Clinic (USA); Steffen Kappler, André Henning, Siemens Healthineers (Germany); Ahmed Halaweish, Siemens Healthineers (USA); Wei Zhou, Juan Cardona Montoya , Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-33]

WEDNESDAY 15 FEBRUARYSESSION 8

LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . WED 8:00 AM TO 9:40 AM

Cone Beam CT II: Optimization and Reconstruction

Session Chairs: Maria Drangova, Robarts Research Institute (Canada); Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany)

8:00 am: Low signal correction scheme for low dose CBCT: The good, the bad, and the ugly, Daniel Gomez-Cardona, Ran Zhang, Ke Li, Juan Pablo Cruz-Bastida, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-34]

8:20 am: High-resolution cone-beam CT of the extremities with a CMOS detector: task-based optimization of scintillator thickness, Qian Cao, Michael Brehler, Alejandro Sisniega, Joseph W. Stayman, Johns Hopkins Univ. (USA); John Yorkston, Carestream Health, Inc. (USA); Jeffrey H. Siewerdsen, Wojciech Zbijewski, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-35]

8:40 am: Integration of prior CT into CBCT reconstruction for improved image quality via reconstruction of difference: first patient studies, Hao Zhang, Grace J. Gang, Junghoon Lee, John W. Wong, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-36]

9:00 am: Brain perfusion imaging using a reconstruction of difference approach for cone-beam computed tomography, Michael Mow, Wojciech Zbijewski, Alejandro Sisniega, Jennifer Xu, Hao Dang, Joseph W. Stayman, Johns Hopkins Univ. (USA); Xiaohui Wang, David H. Foos, Carestream Health, Inc. (USA); Vassilis E. Koliatsos, Nafi Aygun, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-37]

9:20 am: Deformable known component model-based reconstruction for coronary CT angiography, Xiaoxuan Zhang, Steven W. Tilley II, Shiyu Xu, Aswin J. Mathews, Johns Hopkins Univ. (USA); Elliot R. McVeigh, Univ. of California, San Diego (USA); Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-38]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wed 9:40 am to 10:10 am

SESSION 9LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . .WED 10:10 AM TO 12:10 PM

Phase Contrast ImagingSession Chairs: Guang-Hong Chen, Univ. of Wisconsin School of

Medicine and Public Health (USA); Mini Das, Univ. of Houston (USA)10:10 am: Improving image quality in laboratory x-ray phase-contrast imaging, Fabio De Marco, Mathias Marschner, Lorenz J. B. Birnbacher, Manuel Viermetz, Peter B. Noel, Julia Herzen, Franz Pfeiffer, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-39]

10:30 am: First experience with x-ray dark-field radiography for human chest imaging, Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. München (Germany); Konstantin Willer, Technische Univ. München (Germany); Alexander A. Fingerle, Klinikum rechts der Isar der Technischen Univ. München (Germany); Lukas B. Gromann, Fabio De Marco, Kai H. Scherer, Julia Herzen, Klaus Achterhold, Bernhard Gleich, Technische Univ. München (Germany); Daniela Münzel, Martin Renz, Bernhard C. Renger, Klinikum rechts der Isar der Technischen Univ. München (Germany); Florian Fischer, Christian Braun, Sigrid Auweter, Katharina Hellbach, Maximilian F. Reiser, Ludwig-Maximilians-Univ. München (Germany); Tobias Schröter, Jürgen Mohr, Karlsruher Institut für Technologie (Germany); Andre Yaroshenko, Hanns-Ingo Maack, Thomas Pralow, Hendrik van der Heijden, Roland Proksa, Thomas Köhler, Nataly Wieberneit, Karsten Rindt, Philips Healthcare (Germany); Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Franz Pfeiffer, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-40]

10:50 am: A resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography, Huifeng Guan, Mark A. Anastasio, Washington Univ. in St. Louis (USA); Charlotte K. Hagen, Alessandro Olivo, Univ. College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-41]

11:10 am: A joint-reconstruction approach for single-shot edge illumination x-ray phase-contrast tomography, Yujia Chen, Huifeng Guan, Washington Univ. in St. Louis (USA); Charlotte K. Hagen, Alessandro Olivo, Univ. College London (United Kingdom); Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-42]

11:30 am: Design of a sensitive grating-based phase contrast mammography prototype, Carolina Arboleda Clavijo, Zhentian Wang, Paul Scherrer Institut, ETH Zürich (Switzerland); Thomas Köhler, Udo van Stevendaal, Gerhard Martens, Matthias Bartels, Innovative Technologies Research Labs., Philips Research (Germany); Pablo Villanueva-Perez, Paul Scherrer Institut, ETH Zürich (Switzerland); Ewald Roessl, Innovative Technologies Research Labs., Philips Research (Germany); Marco Stampanoni, Paul Scherrer Institut, ETH Zürich (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-43]

11:50 am: Theoretical and experimental investigation of potential bias in signal estimation for grating-based x-ray multi-contrast imaging, Xu Ji, Yongshuai Ge, Ran Zhang, Ke Li, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . . . . . . . . . . . [10132-44]

Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wed 12:10 pm to 1:20 pm

SESSION 10LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . WED 1:20 PM TO 3:00 PM

Photon Counting II: AlgorithmsSession Chairs: Stephen J. Glick,

U.S. Food and Drug Administration (USA); Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. München (Germany)

1:20 pm: Estimating basis line-integrals in spectral distortion-modeled photon counting CT: K-edge imaging using dictionary learning-based x-ray transmittance modeling, Okkyun Lee, The Johns Hopkins Univ. School of Medicine (USA); Steffen Kappler, Siemens AG (Germany); Christoph Polster, Siemens Healthineers (Germany) and Institut für Klinische Radiologie, Ludwig-Maximilians-Univ. Hospital München (Germany); Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . . . . . [10132-45]

1:40 pm: Spectral CT metal artifact reduction with an optimization-based reconstruction algorithm, Taly Gilat-Schmidt, Marquette Univ. (USA); Rina F. Barber, Emil Y. Sidky, The Univ. of Chicago (USA) . . . . . . . . . . [10132-46]

2:00 pm: A multi-step method for material decomposition in spectral CT, Nathaniel R. Fredette, Cale E. Lewis, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-47]

2:20 pm: Resolution improvement in x-ray imaging with an energy-resolving detector, Mats Persson, Mats Danielsson, KTH Royal Institute of Technology (Sweden) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-48]

2:40 pm: Classification of breast microcalcifications using spectral mammography, Bahaa Ghammraoui, Stephen J. Glick, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-49]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wed 3:00 pm to 3:30 pm

CONFERENCE 10132

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SESSION 11LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . WED 3:30 PM TO 5:30 PM

Nuclear Medicine and Magnetic Resonance Imaging

Session Chairs: Christoph Hoeschen, Otto-von-Guericke-Univ. Magdeburg (Germany); Jinyi Qi, Univ. of California, Davis (United States)

3:30 pm: MLAA-based RF surface coil attenuation estimation in hybrid PET/MR imaging, Thorsten Heußer, Christopher M. Rank, Martin T. Freitag, Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . [10132-50]

3:50 pm: Nonlinear PET parametric image reconstruction with MRI information using kernel method, Kuang Gong, Guobao Wang, Univ. of California, Davis (USA); Kevin T. Chen, Ciprian Catana, Athinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Jinyi Qi, Univ. of California, Davis (USA) . . . . . . [10132-51]

4:10 pm: Fast and accurate Monte-Carlo based system response modeling for a digital whole-body PET, Xiangyu Sun, Huazhong Univ. of Science and Technology (China); Lingli Yang, Wuhan Achievision Technology Co., Ltd. (China); Shuai Wang, Huazhong Univ. of Science and Technology (China); Bo Zhang, RaySolution Digital Medical Imaging Co., Ltd. (China); Peng Xiao, Qingguo Xie, Huazhong Univ. of Science and Technology (China); Yanzhao Li, Wuhan Achievision Technology Co., Ltd. (China) . . . . . . . . . . . . . . . . . . . . . . . . [10132-52]

4:30 pm: Improved attenuation correction for respiratory gated PET/CT with extended-duration cine CT: a simulation study, Ruoqiao Zhang, Adam M. Alessio, Univ. of Washington (USA); Larry A Pierce II, Univ. of Washington Medical Ctr. (USA); Darrin W. Byrd, Tzu-Cheng Lee, Univ. of Washington (USA); Bruno De Man, GE Global Research (USA); Paul E. Kinahan, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-53]

4:50 pm: Estimation of posterior image variance with sparsity-based object priors with application to MRI, Yujia Chen, Yang Lou, Washington Univ. in St. Louis (USA); Cihat Eldeniz, Hongyu An, Ctr. for Clinical Imaging Research, Washington Univ. in St. Louis (USA); Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-54]

5:10 pm: Affordable CZT SPECT with dose-time minimization, James W. Hugg, Brian W. Harris, Kromek (USA); Ian Radley, Kromek (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-55]

POSTERS - TUESDAY/WEDNESDAYLOCATION: OCEANS BALLROOM . . . . . . WED 5:30 PM TO 7:00 PM

Posters for this conference will be on display Tuesday and Wednesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Thursday morning.

POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . .WED 5:30 PM TO 7:00 PM

Cone-Beam CTCone-beam CT image contrast and attenuation-map linearity improvement (CALI) for brain stereotactic radiosurgery procedures, Sayed Masoud Hashemi, Sunnybrook Health Sciences Ctr. (Canada); Young Lee, Sunnybrook Research Institute (Canada); Markus Eriksson, Håkan Nordström, Elekta AB (Sweden); James Mainprize, Sunnybrook Research Institute (Canada); Vladimir Grouza, Christopher Huynh, Sunnybrook Health Sciences Ctr. (Canada); Arjun Sahgal, William Y. Song, Sunnybrook Research Institute (Canada); Mark Ruschin, Sunnybrook Health Sciences Ctr. (Canada) . . . . . . . . . . . . . . . . . . . . . . [10132-78]

Dual energy approach for cone beam artifacts correction, Chulhee Han, Shinkook Choi, Changwoo Lee, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-79]

A Patch-based CBCT scatter artifact correction using prior CT, Xiaofeng Yang, Tian Liu, Xue Dong, Xiangyang Tang, Eric Elder, Walter J. Curran, Anees Dhabaan, Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-80]

Shading correction algorithm for cone-beam CT in radiotherapy: extensive clinical validation of image quality improvement, Kiran D. Joshi, Thomas E. Marchant, Christopher J. Moore, The Christie NHS Foundation Trust (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-81]

A biomechanical modeling guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction, Xiaokun Huang, You Zhang, Jing Wang, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-82]

4D DSA reconstruction using tomosynthesis projections, Marc Buehler, Jordan M. Slagowski, Charles A. Mistretta, Charles M. Strother, Michael A. Speidel, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . [10132-83]

estimating 3D local noise power spectrum from a few FDA-reconstructed cone-beam CT scans, Rongping Zeng, U.S. Food and Drug Administration (USA); Mahsa Torkaman, Stony Brook Univ. (USA); Kyle J. Myers, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-84]

Motion vector field upsampling for improved 4D cone-beam CT motion compensation of the thorax, Sebastian Sauppe, Christopher M. Rank, Deutsches Krebsforschungszentrum (Germany); Marcus Brehm, Deutsches Krebsforschungszentrum (Switzerland); Pascal Paysan, Dieter Seghers, Varian Medical Systems Imaging Lab. (Switzerland); Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-85]

Automated framework for estimation of lung tumor locations in kV-CBCT images for tumor-based patient positioning in stereotactic lung body radiotherapy, Satoshi Yoshidome, Kyushu Univ. Beppu Hospital (Japan); Hidetaka Arimura, Kyushu Univ. (Japan); Koutarou Terashima, Masakazu Hirakawa, Kyushu Univ. Beppu Hospital (Japan); Taka-aki Hirose, Junichi Fukunaga, Yasuhiko Nakamura, Kyushu Univ. Hospital (Japan) . . . . . . [10132-86]

New Technologies and CorrectionsSeventh generation multi-source CT pre-reconstruction inversion: image simulations, Guy M. Besson, ForeVision Technologies Corp. (USA) . . . [10132-87]

A comparative study of bowtie and patient scatter in diagnostic CT, Prakhar Prakash, John M. Boudry, GE Healthcare (USA) . . . . . . . . . . . . [10132-88]

A deterministic integral spherical harmonics method for scatter simulation in computed tomography, Yujie Lu, Yu Zou, Xiaohui Zhan, Zhou Yu, Richard Thompson, Toshiba Medical Research Institute USA, Inc. (USA) . . . . . . [10132-89]

Optimal sinogram sampling with temporally offset pixels in continuous rotation CT, Martin Sjölin, Mats Persson, KTH Royal Institute of Technology (Sweden) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-90]

Beam hardening correction using linearization in length domain, Daejoong Oh, Sewon Kim, Doohyun Park, Dosik Hwang, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-91]

Fast frame rate rodent cardiac x-ray imaging using scintillator lens coupled to CMOS camera, Swathi L. Balasubramanian, Mallu A. Charan Tej, Madhulika Dixit, Ganapathy Krishnamurthi, Indian Institute of Technology Madras (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-92]

Low-dose, 4D myocardial perfusion with x-ray micro-CT, Darin P. Clark, Cristian T. Badea, Ctr. for In Vivo Microscopy, Duke Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-93]

An investigation of low-dose 3D scout scans for computed tomography, Juliana Gomes, Grace J. Gang, Aswin J. Mathews, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-94]

Adaptability index: quantifying CT tube current modulation performance from dose and quality informatics, Francesco Ria, Duke Univ. Health System (USA) and CDI Ctr. Diagnostico Italiano S.p.A. (Italy) and Fondazione Bracco (Italy); Joshua M. Wilson, Duke Univ. Health System (USA) and Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Yakun Zhang, Duke Univ. Health System (USA) and Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Ehsan Samei, Duke Univ. Health System (USA) and Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-95]

Experimental evaluation of dual multiple aperture devices for fluence field modulated x-ray computed tomography, Aswin J. Mathews, Grace J. Gang, Johns Hopkins Univ. (USA); Reuven Levinson, Philips Healthcare (Israel); Wojciech Zbijewski, Johns Hopkins Univ (USA); Satomi Kawamoto, Jeffrey H. Siewerdsen, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . [10132-96]

Estimation of non-solid lung nodule volume with screening and sub-screening CT protocols: effect of reconstruction algorithm and measurement method, Marios A. Gavrielides, U.S. Food and Drug Administration (USA); Gino DeFilippo, Univ. of Maryland, College Park (USA); Benjamin P. Berman, Qin Li, Nicholas A. Petrick, U.S. Food and Drug Administration (USA); Kurt Schultz, Ctr. for Medical Research and Development, Toshiba Medical Research Institute USA, Inc. (USA); Jenifer Siegelman, Brigham and Women’s Hospital, Harvard Medical School (USA) . . . . . . . . . . . . . [10132-97]

Novel method to calibrate CT scanners with a conic probe body, Oleg Tischenko, Helmholtz Zentrum München GmbH (Germany); Nazila Saeednezhad, Otto-von-Gueriche-Univ. Magdeburg (Germany); Christoph Hoeschen, Otto-von-Guericke-Univ. Magdeburg (Germany) . . . . . . . . . [10132-98]

CONFERENCE 10132


CTII: Image Reconstruction and Artifact Reduction

ROI model-based iterative reconstruction (MBIR) via a coupled dictionary learning, Dong Hye Ye, Purdue Univ. (USA); Somesh Srivastava, Jean-Baptiste Thibault, GE Healthcare (USA); Ken Sauer, Univ. of Notre Dame (USA); Charles Bouman, Purdue Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-99]

Accelerating separable footprint (SF) forward and back projection on GPU, Xiaobin Xie, Shanghai Jiao Tong Univ. (China); Madison G. McGaffin, Univ. of Michigan (USA); Yong Long, Shanghai Jiao Tong Univ. (China); Jeffrey A. Fessler, Univ. of Michigan (USA); Minhua Wen, James Lin, Shanghai Jiao Tong Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-100]

A new approach to solving the prior image constrained compressed sensing (PICCS) with applications in CT image reconstruction, Yuchao Tang, Chunxiang Zong, Nanchang Univ. (China) . . . . . . . . . . . [10132-101]

Computer simulation of low-dose CT with clinical lung image database: a preliminary study, Junyan Rong, Peng Gao, Wenlei Liu, Tianshuai Liu, Qimei Liao, Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . [10132-102]

Reconstruction of four-dimensional computed tomography images during treatment time using electronic portal imaging device images based on a dynamic 2D/3D registration, Takahiro Nakamoto, Kyushu Univ. (Japan) and Japan Society for the Promotion of Science (Japan); Hidetaka Arimura, Kyushu Univ. (Japan); Taka-aki Hirose, Kyushu Univ. (Japan) and Kyushu Univ. Hospital (Japan); Saiji Ohga, Yoshiyuki Umezu, Yasuhiko Nakamura, Hiroshi Honda, Tomonari Sasaki, Kyushu Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . [10132-103]

A deep learning-based stopping rule for iterative CT reconstruction, Lars Gjesteby, Qingsong Yang, Rensselaer Polytechnic Institute (USA); Junping Zhang, Fudan Univ. (China); Ge Wang, Rensselaer Polytechnic Institute (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-104]

Choosing anisotropic voxel dimensions in optimization-based image reconstruction for limited angle CT, Caroline Sheng, Riya Chaudhari, Sean D. Rose, Emil Y. Sidky, Xiaochuan Pan, The Univ. of Chicago Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-105]

A data-driven regularization strategy for statistical CT reconstruction, Darin P. Clark, Cristian T. Badea, Ctr. for In Vivo Microscopy, Duke Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-106]

MDCT cardiac imaging via data consistency classification and SMART-RECON method, Yinsheng Li, Univ. of Wisconsin-Madison (USA); Ximiao Cao, GE Healthcare (China); Zhanfeng Xing, Xuguang Sun, GE Healthcare China Ltd. (China); Jiang Hsieh, GE Healthcare (USA); Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . [10132-107]

Projection-based motion estimation for cardiac functional analysis with high temporal resolution: a proof-of-concept study with digital phantom experiment, Yuki Suzuki, Nara Institute of Science and Technology (Japan) and The Johns Hopkins Univ. School of Medicine (USA) and Osaka Univ. (Japan); George S. K. Fung, Johns Hopkins Outpatient Ctr. (USA); Zeyang Shen, The Johns Hopkins Univ. School of Medicine (USA) and Southeast Univ. (China); Yoshito Otake, Nara Institute of Science and Technology (Japan); Okkyun Lee, Luisa Ciuffo, Hiroshi Ashikaga, The Johns Hopkins Univ. School of Medicine (USA); Yoshinobu Sato, Nara Institute of Science and Technology (Japan); Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-108]

Investigation of image quality difference between total variation and nonlinear sparsifying transform based compressed sensing, Jian Dong, Hiroyuki Kudo, Songzhe Lian, Ryosuke Ueda, Univ. of Tsukuba (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-109]

Image-based metal artifact reduction in x-ray computed tomography utilizing local anatomical similarity, Xue Dong, Xiaofeng Yang, Jonathan Rosenfield, Eric Elder, Anees Dhabaan, The Winship Cancer Institute of Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-110]

Compressed sensing of sparsity-constrained total variation minimization for CT image reconstruction, Jian Dong, Hiroyuki Kudo, Univ. of Tsukuba (Japan); Essam A. Rashed, Suez Canal Univ. (Egypt); Ryosuke Ueda, Univ. of Tsukuba (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-111]

FBP embedded iterative method to efficiently solve the low-dose CT, Ryosuke Ueda, Fukashi Yamazaki, Hiroyuki Kudo, Univ. of Tsukuba (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-112]

Photon Counting: Spectral CT, Instrumentation, and Algorithms

Discrimination of clinically significant calcium salts using MARS Spectral CT, Tracy E. Kirkbride, Ara Institute of Canterbury (New Zealand); Aamir Raja, Univ. of Otago, Christchurch (New Zealand); Kristin Mueller, Univ. zu Lübeck (Germany); Christopher J. Bateman, Univ. of Canterbury (New Zealand); Fabio Becce, Ctr. Hospitalier Univ. Vaudois (Switzerland); Nigel Anderson, Univ. of Otago, Christchurch (New Zealand) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-113]

Low-dose photon-counting CT for evaluation of scoliosis, Xuejin Liu, Mats Danielsson, KTH Royal Institute of Technology (Sweden) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-114]

Multi-phase liver with spectral photon counting CT using dual-contrast enhancement, Heiner Daerr, Roland Proksa, Philips Research (Germany); Alexander A. Fingerle, Technische Univ. München (Germany); Franz Pfeiffer, Institut für Medizintechnik, Technische Univ. München (Germany); Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Institut für Medizintechnik, Technische Univ. München (Germany); Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Daniela Münzel, Technische Univ. München (Germany) and Institut für Medizintechnik, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . [10132-115]

Response functions of multi-pixel type CdTe detector: toward development of precise material identification in diagnostic x-ray images by means of photon counting, Hiroaki Hayashi, Takashi Asahara, Natsumi Kimoto, Kanazawa Yuki, The Univ. of Tokushima (Japan); Tsutomu Yamakawa, Shuichiro Yamamoto, Masashi Yamasaki, Masahiro Okada, JOB Corp. (Japan) . . . . . . . . . . [10132-116]

Dual energy CT kidney stone differentiation in photon counting computed tomography, Ralf Gutjahr, Siemens Healthineers (Germany) and Informatikanwendungen in der Medizin & Augmented Reality (CAMP), Technische Univ. München (Germany); Christoph Polster, Institute of Clinical Radiology, Ludwig-Maximilians-Univ. Hospital München (Germany); André Henning, Steffen Kappler, Siemens AG (Germany); Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA); Martin U. Sedlmair, Bernhard Schmidt, Bernhard Krauss, Thomas G. Flohr, Siemens AG (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-117]

Statistical iterative material image reconstruction for spectral CT using a semi-empirical forward model, Korbinian Mechlem, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technischen Univ. München (Germany); Sebastian Ehn, Thorsten Sellerer, Technische Univ. München (Germany); Franz Pfeiffer, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technische Univ. München (Germany); Peter B. Noël, Klinikum rechts der Isar der Technischen Univ. München (Germany) and Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-118]

Development of a novel method based on a photon counting technique with the aim of precise material identification in clinical x-ray diagnosis, Natsumi Kimoto, Hiroaki Hayashi, Takashi Asahara, The Univ. of Tokushima (Japan); Tsutomu Yamakawa, Shuichiro Yamamoto, Masashi Yamasaki, Masahiro Okada, JOB Corp. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-119]

Spectral CT applicability to bariatric patient size, Yoad Yagil, Nadav Shapira, Philips Medical Systems Technologies Ltd. (Israel) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-120]

Material decomposition using noise compensating projection in an arbitrary number of dimensions, Thomas P. O’Donnell, Ahmed Halaweish, Siemens Healthineers (USA); David Cormode, Univ. of Pennsylvania (USA); Venkatesh Mani, Translational and Molecular Imaging Institute, Mount Sinai School of Medicine (USA); Rabee Cheheltani, Univ. of Pennsylvania (USA); Zahi Fayad, Translational and Molecular Imaging Institute, Mount Sinai School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-121]

Theoretical characterization of performance effectiveness of photon-counting technique for digital radiography applications, Seungman Yun, Jaehyuk Kim, Yoonsuk Huh, Jungha Kim, Sujin Park, Jungmin Kim, SAMSUNG Electronics Co., Ltd. (Korea, Republic of); Jongpil Kim, SAMSUNG Electronics Co., Ltd. (Korea, Republic of); Kyung Hun Yoon, JaeMoon Jo, SAMSUNG Electronics Co., Ltd. (Korea, Republic of) . . . . . . . . . . [10132-122]

Effects of dead time on quantitative dual energy imaging using a position-sensitive spectroscopic detector, Louise M. Dummott, Univ. of Surrey (United Kingdom); Giuseppe Schettino, National Physical Lab. (United Kingdom); Matthew D. Wilson, Matthew C. Veale, Paul Seller, STFC Rutherford Appleton Lab. (United Kingdom); Silvia Pani, Univ. of Surrey (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-123]

X-ray spectral calibration from transmission measurements using Gaussian blur model, Wooseok Ha, The Univ. of Chicago (USA); Emil Y. Sidky, The Univ. of Chicago Medical Ctr. (USA); Rina F. Barber, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-124]

CONFERENCE 10132

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Explorations of the physics-based decomposition space for a clinical spectral-detector CT, Matthew A. Lewis, Todd C. Soesbe, Khaled Nasr, Quyen N. Do, Lakshmi Ananthakrishnan, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Julia Fielding, The Univ. of North Carolina at Chapel Hill (USA); Suhny Abbara, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Shlomo Gotman, Philips Medical Systems Technologies Ltd. (Israel); Robert E. Lenkinski, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-125]

A TV-constrained decomposition method for spectral CT, Xiaoyue Guo, Li Zhang, Yuxiang Xing, Tsinghua Univ. (China) . . . . . . . [10132-126]

A study of modeling x-ray transmittance for material decomposition without contrast agents, Okkyun Lee, The Johns Hopkins Univ. School of Medicine (USA); Steffen Kappler, Siemens AG (Germany); Christoph Polster, Siemens AG (Germany) and Institut für Klinische Radiologie, Ludwig-Maximilians-Univ. Hospital München (Germany); Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-127]

A polychromatic adaption of the Beer-Lambert model for spectral decomposition, Thorsten Sellerer, Sebastian Ehn, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany); Peter B. Noel, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany) and Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen (Germany); Julia Herzen, Franz Pfeiffer, Korbinian Mechlem, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-128]

Establishing a method to measure bone structure using spectral CT, Mohsen Ramyar, Ctr. for Bioengineering, Univ. of Otago, Christchurch (New Zealand); Celeste Leary, Oregon Health & Science Univ. (USA); Raja Aamir, Ctr. for Bioengineering, Univ. of Otago, Christchurch (New Zealand); Christopher J. Bateman, Ctr. for Bioengineering, Univ. of Otago, Chrischurch (New Zealand) and MARS Bioimaging Ltd. (New Zealand); Niels de Ruiter, Ctr. for Bioengineering, Univ. of Otago, Christchurch (New Zealand) and MARS Bioimaging Ltd. (New Zealand) and HIT Lab. NZ (New Zealand); Stephen Bell, MARS Bioimaging Ltd. (New Zealand) and CERN (Switzerland); Michael Walsh, MARS Bioimaging Ltd. (New Zealand); Raj Kumar Panta, Ctr. for Bioengineering, Univ. of Otago, Christchurch (New Zealand) and MARS Bioimaging Ltd. (New Zealand); Alex Chernoglazov, MARS Bioimaging Ltd. (New Zealand) and HIT Lab NZ (New Zealand); Seamus Tredinnick, Univ. of Otago, Christchurch (New Zealand); Philip H. Butler, Univ. of Canterbury (New Zealand) and CERN (Switzerland) and MARS Bioimaging Ltd. (New Zealand); Anthony Butler, Ctr. for Bioengineering, Univ. of Otago, Christchurch (New Zealand) and MARS Bioimaging Ltd. (New Zealand) and CERN (Switzerland); Tim Woodfield, Nigel Anderson, Univ. of Otago, Christchurch (New Zealand) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-129]

Renal stone characterization using high resolution imaging mode on a photon counting detector CT system, Andrea Ferrero, Mayo Clinic (USA); Ralf Gutjahr, Siemens Healthineers (Germany) and Informatikanwendungen in der Medizin & Augmented Reality, Technische Univ. of München (Germany); André Henning, Steffen Kappler, Siemens Healthineers (Germany); Ahmed Halaweish, Siemens Healthineers (USA); Dilbar Abdurakhimova, Zack Peterson, Juan Cardona Montoya, Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-130]

BVMF-B algorithm for nonconvex nonlinear regularized decomposition of spectral x-ray projection images, Mai Quyen Pham, Univ. Grenoble Alpes (France); Nicolas Ducros, Univ. de Lyon (France) and Ctr. National de la Recherche Scientifique (France) and CREATIS (France); Barbara Nicolas, CREATIS (France) and Ctr. National de la Recherche Scientifique (France) and Univ. de Lyon (France). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-131]

Calibration methods influence quantitative material decomposition in photon-counting spectral CT, Tyler Curtis, James V. Tedesco, Ryan K. Roeder, Univ. of Notre Dame (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-132]

Sensitivity analysis of pulse pileup model parameter in photon counting detectors, Picha Shunhavanich, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-133]

Enhancement of weakly tagged fecal materials in dual-energy CT colonography using spectral-driven iterative reconstruction technique, Radin A. Nasirudin, Massachusetts General Hospital (USA) and Harvard Medical School (USA); Rie Tachibana, Janne J. Näppi, Hiroyuki Yoshida, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-134]

Detection of increased vasa vasorum in artery walls: improving CT number accuracy using image deconvolution, Kishore Rajendran, Shuai Leng, Steven M. Jorgensen, Dilbar Abdurakhimova, Erik L. Ritman, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-135]

Exploiting partial-volume artifacts in spectral CT imaging to localize surgical mesh, Melodie Vuong, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) and Newman Smith High School (USA); Matthew A. Lewis, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . . . . . . . . [10132-136]

Lung nodule volume quantification and shape differentiation with an ultra-high resolution technique on a photon counting detector CT system, Wei Zhou, Shuai Leng, Juan Cardona Montoya, Mayo Clinic (USA); Ralf Gutjahr, Siemens Healthineers (Germany); Andrea Ferrero, Mayo Clinic (USA); Ahmed Halaweish, Siemens Healthineers (USA); Steffen Kappler, Siemens Healthineers (Germany); Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . [10132-137]

Development of a photon counting detector response model using multiple transmission spectra, Dimple Modgil, Andrew Smith, Buxin Chen, Hee-Jong Kim, The Univ. of Chicago (USA); William C. Barber, DxRay, Inc. (USA); Chin-Tu Chen, Ingrid S. Reiser, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . [10132-138]

Empirical neural network forward model for maximum likelihood material decomposition in spectral CT, Kevin C. Zimmerman, Marquette Univ. (USA) and Toshiba Medical Research Institute USA, Inc. (USA); Adam Petschke, Toshiba Medical Research Institute USA, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . [10132-139]

Impact of Compton scatter on material decomposition using a photon counting spectral detector, Cale E. Lewis, Chan-Soo Park, Nathaniel R. Fredette, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . [10132-140]

DetectorsNovel geometries for efficient and cost-effective megavolt imaging detectors, Nicola M. Winch, Scott A. Watson, James F. Hunter, Los Alamos National Lab. (USA); Mike Appleby, MIKRO, Inc. (USA) . . . . . . . . . . . . [10132-141]

A novel proton imaging detector, Collin Wilkinson, Ugur Akgun, Coe College (USA); Dongxu Wang, The Univ. of Iowa (USA) . . . . . . . . . . . . . . . . . . [10132-142]

A high resolution CMOS-based micro-angiographic fluoroscope (MAF) detector prototype with 49.5 µm pixels for use in endovascular image guided interventions (EIGI), Megan K. Russ, Alok Shankar, Swetadri V. Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-143]

2x2 oversampling in digital radiography imaging for CsI-based scintillator detectors, Dong Sik Kim, Hankuk Univ. of Foreign Studies (Korea, Republic of); Hyunseok Ju, Jeongpil Kim, Eun Kim, DRTECH Corp. (Korea, Republic of); Eunae Lee, Hankuk Univ. of Foreign Studies (Korea, Republic of); Choul Woo Shin, DRTECH Corp. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . [10132-144]

High spatial resolution performance of pixelated scintillators, Kazuki Shigeta, Nobuyasu Fujioka, Takahiro Murai, Izumi Hikita, Tomohiro Morinaga, Takahiro Tanino, Haruhito Kodama, Masaki Okamura, Toray Industries, Inc. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-145]

Comparison of High Resolution x-ray detectors with conventional FPDs using experimental MTFs and apodized aperture pixel design for reduced aliasing, Alok Shankar, Megan K. Russ, Sarath Vijayan, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-146]

1D pixelated MV portal imager with structured privacy film: a feasibility study, Pavlo Baturin, Daniel Shedlock, Varian Medical Systems, Inc. (USA); Marios Myronakis, Ross Berbeco, Dana-Farber/Harvard Cancer Ctr. (USA); Josh Star-Lack, Varian Medical Systems, Inc. (USA) . . . . . . . . . . . . . . . . . . [10132-147]

Radiation DoseDose conversion coefficients for partial-fan CBCT scans, Helmut Schlattl, Helmholtz Zentrum München GmbH (Germany) . . . . [10132-148]

Organ and effective dose reduction for region-of-interest (ROI) CBCT and fluoroscopy, Zhenyu Xiong, Sarath Vijayan, Stephen Rudin, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . [10132-149]

Monte Carlo investigation of backscatter point spread function for x-ray imaging examinations, Zhenyu Xiong, Sarath Vijayan, Stephen Rudin, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-150]

Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment, Kai Mei, Thomas Baum, Felix K. Kopp, Jan Kirschke, Klinikum rechts der Isar der Technischen Univ. München (Germany); Andreas Fehringer, Franz Pfeiffer, Technische Univ. München (Germany); Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-151]

Evaluation of methods to produce an image library for automatic patient model localization for dose mapping during fluoroscopically-guided procedures, Josh Kilian-Meneghin, Zhenyu Xiong, Univ. at Buffalo (USA); Stephen Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA); Daniel R. Bednarek, Univ. at Buffalo (United Kingdom) . . . . . . . [10132-152]

Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc, Wanyi Fu, Gregory M. Sturgeon, Greeshma Agasthya, William P. Segars, Ehsan Samei, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-153]

CONFERENCE 10132


Mammography and Breast TomosynthesisDetection of microcalcification and tumor tissue in mammography using a CdTe-series photon-counting detector, Ai Nakajima, Nagoya Univ. (Japan); Akiko Ihori, Nagoya Univ. School of Medicine (Japan); Hiroko Nishide, Nagoya Univ. Graduate School of Medicine (Japan) and Nagoya Univ. (Japan); Shuji Koyama, Nagoya Univ. Graduate School of Medicine (Japan); Tsutomu Yamakawa, Shuichiro Yamamoto, Masahiro Okada, JOB Corp. (Japan); Yoshie Kodera, Nagoya Univ. School of Medicine (Japan) . . . . . . . . . . [10132-154]

Contrast-enhanced spectral mammography based on a photon-counting detector: quantitative accuracy and radiation dose, Seungwan Lee, Sooncheol Kang, Jisoo Eom, Konyang Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-155]

An adaptive toolkit for image quality evaluation in system performance test of digital breast tomosynthesis, Guozhi Zhang, Nicholas W. Marshall, UZ Leuven (Belgium); Hilde Bosmans, KU Leuven (Belgium) . . . . . . . . [10132-156]

Evaluation of effective detective quantum efficiency considering breast thickness and glandularity in prototype digital breast tomosynthesis system, Seungyeon Choi, Ye-seul Kim, Donghoon Lee, Sunghoon Choi, Yonsei Univ. (Korea, Republic of); Young-Wook Choi, Korea Electrotechnology Research Institute (Korea, Republic of); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-157]

Stationary digital breast tomosynthesis reconstruction using distance driven method, Nuhad A. Malalla, Southern Illinois Univ. Carbondale (USA); Jianping Lu, Otto Zhou, The Univ. of North Carolina at Chapel Hill (USA); Ying Chen, Southern Illinois Univ. Carbondale (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-158]

Geometric calibration for a next generation digital breast tomosynthesis system, William S. Ferris, Trevor L. Vent, Tristan D. Maidment, Raymond J. Acciavatti, Univ. of Pennsylvania (USA); David E. Wurtele, Swarthmore College (USA); Andrew D. A. Maidment, Univ. of Pennsylvania (USA) . . . . . . . . [10132-159]

Scatter reduction for grid-less mammography using the convolution-based image post-processing technique., Elena Marimon Munoz, Ctr. for Digital Entertainment, Bournemouth Univ. (United Kingdom) and Medical Imaging, PerkinElmer (United Kingdom); Hammadi Nait-Charif, Ctr. for Digital Entertainment, Bournemouth Univ. (United Kingdom); Asmar Khan, Medical Imaging, PerkinElmer (United Kingdom); Philip A. Marsden, Unitive Design and Analysis (United Kingdom); Oliver Diaz, ViCOROB Research Institute, Univ. de Girona (Spain) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-160]

Comparison of effects of dose on image quality in digital breast tomosynthesis across multiple vendors, Amy Zhao, Maira Santana, Ehsan Samei, Joseph Y. Lo, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . [10132-161]

Denoised ordered subset statistically penalized algebraic reconstruction technique (DOS-SPART) in digital breast tomosynthesis, John W. Garrett, Yinsheng Li, Ke Li, Guang-Hong Chen, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-162]

Scattered radiation in DBT geometries with flexible breast compression paddles: a monte carlo simulation study, Oliver Diaz, Eloy García, Arnau Oliver, Joan Martí, Robert Martí, Univ. de Girona (Spain) . . . . . . . . . . . . . . . . [10132-163]

New Systems and TechnologiesNew high-resolution imaging technology; application of advanced radar technology for medical imaging, Ashok Gorwara, Pavlo A. Molchanov, Planar Monolithic Industries, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10132-164]

Multi-grid finite element method used for enhancing the reconstruction accuracy in Cerenkov luminescence tomography, Hong Bo Guo, Northwest Univ. (China) and Key Lab. of Molecular Imaging, Chinese Academy of Sciences (China); Xiaowei He, Northwest Univ. (China); Muhan Liu, Zeyu Zhang, Zhenhua Hu, Jie Tian, Key Lab. of Molecular Imaging, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-165]

Accelerated x-ray scatter projection imaging using multiple continuously-moving pencil beams, Christopher Dydula, Carleton Univ. (Canada); George Belev, Canadian Light Source Inc. (Canada); Paul C. Johns, Carleton Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-166]

Coded aperture coherent scatter spectral imaging for clinical use in ex vivo imaging for intraoperative margin assessment of breast cancers, James R. Spencer, Joshua E. Carter, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Crystal K. Leung, Shannon J. McCall, Duke Univ. School of Medicine (USA); Joel A. Greenberg, Duke Univ. (USA); Anuj J. Kapadia, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) . . . . . . . . . . . . . . . . [10132-167]

Mono- and dual-energy coronary angiography with a compact light source, Elena Eggl, Technische Univ. München (Germany); Eva-Maria Braig, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technischen Univ. München (Germany); Stephanie Kulpe, Technische Univ. München (Germany); Korbinian Mechlem, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technische Univ. München (Germany); Martin Dierolf, Walter Schottky Institut, Technische Univ. München (Germany); Benedikt Günther, Technische Univ. München (Germany), Institut für Medizintechnik, Technische Univ. München (Germany) and Max-Planck-Institut für Quantenoptik (Germany); Klaus Achterhold, Julia Herzen, Technische Univ. München (Germany) and Institut für Medizintechnik, Technische Univ. München (Germany); Bernhard Gleich, Institut für Medizintechnik, Technische Univ. München (Germany); Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Peter B. Noël, Technischen Univ. München (Germany), Institut für Medizintechnik, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technischen Univ. München (Germany); Franz Pfeiffer, Technische Univ. München (Germany), Institut für Medizintechnik, Technische Univ. München (Germany) and Klinikum rechts der Isar der Technische Univ. München (Germany); Daniela Münzel, Klinikum rechts der Isar der Technischen Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-168]

Full three-dimensional direction-dependent x-ray scattering tomography, Zheyuan Zhu, Univ. of Central Florida (USA); Shuo Pang, CREOL, The College of Optics and Photonics, Univ. of Central Florida (USA) . . . . . . . . . . . . . . [10132-169]

3D reconstruction of synapses with deep learning based on EM Images, Chi Xiao, Qiang Rao, Dandan Zhang, Xi Chen, Institute of Automation (China); Hua Han, Institute of Automation (China) and Ctr. for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (China); Qiwei Xie, Institute of Automation (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-170]

Estimating internal tissue temperature using microwave radiometry data and bioheat models, Patrick A. Kelly, Jingyu Xu, Univ. of Massachusetts Amherst (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-171]

Optically tracked, single-coil, scanning magnetic induction tomography, Joseph R. Feldkamp, Stephen Quirk, Kimberly-Clark Corp. (USA) . . . [10132-172]

Quantitative 1D diffraction signatures during dual detector scatter VOI breast CBCT, Robert J. LeClair, Laurentian Univ. (Canada) . . . . . . . . [10132-173]

Infrared microscopy imaging apply to obtain the index finger pad´s thermoregulation curves, Laura A. Viafora, Sergio N. Torres, Sebastian E. Godoy, Pablo Gutierrez, Wagner Ramirez, Univ. de Concepción (Chile) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-174]

Reconstruction method for x-ray imaging capsule, Daniel Rubin, Ronen D. Lifshitz, Omer Bar-Ilan, Noam Weiss, Yoel Shapiro, Yoav Kimchy, Check-Cap Ltd. (Israel) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-175]

Nuclear Medicine and Magnetic Resonance Imaging

Design of a new DOI detector module with a single layer scintillator array using depth-dependent reflector patterns, Seung-Jae Lee, Chaeyeong Lee, Hankyeol Song, Chan Woo Park, Yong Hyun Chung, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-176]

Optimization of the optical parameters for the depth-dependent DOI detector module, Seung-Jae Lee, Yong Hyun Chung, Hankyeol Song, Chaeyeong Lee, Chan Woo Park, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . [10132-177]

A simulation study of the square-shaped preclinical PET system with DOI detector, Seung-Jae Lee, Chan Woo Park, Chaeyeong Lee, Hankyeol Song, Yong Hyun Chung, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . [10132-178]

Dynamic PET Image reconstruction for parametric imaging using the HYPR kernel method, Benjamin A. Spencer, UC Davis Medical Ctr. (USA); Jinyi Qi, Univ. of California, Davis (USA); Ramsey D. Badawi, UC Davis Medical Ctr. (USA); Guobao Wang, Univ. of California, Davis (USA) . . . . . . . . . [10132-179]

Stability of gradient field corrections for quantitative diffusion MRI, Baxter P. Rogers, Justin Blaber, E. Brian Welch, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, Vanderbilt Univ. (USA). . . . . . . . . . . . [10132-180]

Regularized ECT reconstruction on unstructured grid, Yun Chen, Jiasheng Huang, Yao Lu, Yuesheng Xu, Sun Yat-Sen Univ. (China) . . . . . . . . . . [10132-181]

Attenuation correction in SPECT images using attenuation map estimation with its emission data, Meysam Tavakoli, Indiana Univ.-Purdue Univ. Indianapolis (USA); Ali Abdollahi, Oklahoma State Univ. (USA); Faraz Kalantari, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . [10132-182]

Accelerated MRI image gormation by stochastic RF excitation, Jun Shen, National Institute of Mental Health and Neuro Sciences (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-183]

Evaluation of the clinical efficacy of the PeTrack motion tracking system for respiratory gating in cardiac PET imaging., Spencer Manwell, Marc J. P. Chamberland, Carleton Univ. (Canada); Ran Klein, The Ottawa Hospital (Canada); Tong Xu, Carleton Univ. (Canada); Robert A. deKemp, Univ. of Ottawa Heart Institute (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-184]

CONFERENCE 10132

CO

NFE

REN

CES


Observers, Modeling, and PhantomsComparison of detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems, Changwoo Lee, Minah Han, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-185]

Improvements in low contrast detectability with iterative reconstruction and the effect of slice thickness, Scott S. Hsieh, Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-186]

The effect of a finite focal spot size on location dependent detectability in a fan beam CT system, Byeongjoon Kim, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-187]

In vivo detectability index: development and validation of an automated methodology, Taylor B. Smith, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Justin B. Solomon, Duke Univ. Medical Ctr. (USA); Ehsan Samei, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-188]

Using non-specialist observers in 4AFC human observer studies, Premkumar Elangovan, Univ. of Surrey (United Kingdom); Alistair Mackenzie, David R. Dance, Kenneth C. Young, The Royal Surrey County Hospital NHS Trust (United Kingdom); Kevin Wells, Univ. of Surrey (United Kingdom) . . . . [10132-189]

Optimization of the simulation parameters for improving realism in anthropomorphic breast phantoms, Abdullah-Al-Zubaer Imran, Delaware State Univ. (USA); Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); David D. Pokrajac, Delaware State Univ. (USA) . . . . . . . . . . . . . . . . . . [10132-190]

Validation study of the thorax phantom lungman for optimization purposes, Sunay Rodríguez Pérez, SCK CEN (Belgium) and KU Leuven (Belgium); Nicholas W. Marshall, UZ Leuven (Belgium); Lara Struelens, SCK CEN (Belgium); Hilde Bosmans, UZ Leuven (Belgium) . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-191]

Method for decreasing CT simulation time of complex phantoms and systems through separation of material specific projection data, Sarah E. Divel, Stanford Univ. (USA); Soren Christensen, Max Wintermark, Maarten G. Lansberg, Stanford Univ. Medical Ctr. (USA); Norbert J. Pelc, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-192]

Phantom system for intraluminal x-ray imaging of the human colon, Ronen D. Lifshitz, Sivan Nawi-Srur, Batia Katz, Lena Milman, Dmitry Gubich, Shlomo Lewkowicz, Yoav Kimchy, Check-Cap Ltd. (Israel) . . . . . . . . . [10132-193]

Validation of Cooper’s ligament thickness in software breast phantoms, Adam Kuperavage, Abdullah-Al-Zubaer Imran, Delaware State Univ. (USA); Predrag R. Bakic, Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA); David D. Pokrajac, Delaware State Univ. (USA) . . . . . . [10132-194]

Computer simulation of the breast subcutaneous and retromammary tissue for the use in virtual clinical trials, Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); David D. Pokrajac, Delaware State Univ. (USA); Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-195]

Improved virtual cardiac phantom with variable diastolic filling rates and coronary artery velocities, Gregory M. Sturgeon, Taylor W. Richards, Ehsan Samei, Wiliam P. Segars, Duke Univ. Medical Ctr. (USA) . . . . . [10132-196]

Quantification of the uncertainty in coronary CTA plaque measurements using dynamic cardiac phantom and 3D-printed plaque models, Taylor W. Richards, Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Health System (USA); Juan Carlos Ramirez-Giraldo, Siemens Healthineers (Germany); Geoffrey D. Rubin, Duke Univ. Health System (USA); Wiliam P. Segars, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Health System (USA) . . . . . . . . . . . . [10132-197]

Accuracy and variability of texture-based radiomics features of lung lesions across CT imaging conditions, Yuese Zheng, Justin B. Solomon, Daniele Marin, Ehsan Samei, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-198]

Phase Contrast and Dark Field ImagingPreclinical x-ray dark-field imaging: foreign body detection, Eva-Maria Braig, Technische Univ. München (Germany) . . . . . . . . . . . [10132-199]

Advanced hyperspectral imaging system with edge enhancement, Konstantin B. Yushkov, Vladimir Y. Molchanov, National Univ. of Science and Technology “MISiS” (Russian Federation) . . . . . . . . . . . . . . . . . . . . . . [10132-200]

Weighted singular value decomposition (wSVD) to improve the radiation dose efficiency of grating based x-ray phase contrast imaging with a photon counting detector, Yongshuai Ge, Xu Ji, Ran Zhang, Ke Li, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . [10132-202]

First in-vivo x-ray dark-field chest radiography: a feasibility study in a living pig, Julia Herzen, Lukas B. Gromann, Konstantin Willer, Fabio De Marco, Kai H. Scherer, Technische Univ. München (Germany); Bernhard C. Renger, Klinikum rechts der Isar der Technischen Univ. München (Germany); Bernhard Gleich, Klaus Achterhold, Technische Univ. München (Germany); Alexander A. Fingerle, Daniela Münzel, Klinikum rechts der Isar der Technischen Univ. München (Germany); Sigrid Auweter, Katharina Hellbach, Maximilian F. Reiser, Andrea Bähr, Michaela Dmochewitz, Ludwig-Maximilians-Univ. München (Germany); Tobias Schröter, Jürgen Mohr, Karlsruher Institut für Technologie (Germany); Andre Yaroshenko, Hanns-Ingo Maack, Thomas Pralow, Hendrik van der Heijden, Roland Proksa, Thomas Köhler, Nataly Wieberneit, Karsten Rindt, Philips Healthcare (Germany); Peter B. Noel, Ernst J. Rummeny, Klinikum rechts der Isar der Technischen Univ. München (Germany); Franz Pfeiffer, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-204]

High resolution laboratory grating-based x-ray phase-contrast CT, Manuel Viermetz, Lorenz J. B. Birnbacher, Andreas Fehringer, Marian Willner, Technische Univ. München (Germany); Peter B. Noel, Klinikum rechts der Isar der Technischen Univ. München (Germany); Franz Pfeiffer, Julia Herzen, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-205]

In-vivo x-ray dark-field imaging of lung cancer in mice, Lukas B. Gromann, Kai H. Scherer, Andre Yaroshenko, Lehrstuhl für Biomedizinische Physik, Technische Univ. München (Germany); Deniz A. Bölükbas, Institut für Lungenbiologie, Helmholtz Zentrum München (Germany) and Comprehensive Pneumology Ctr. Munich (CPC-M), Helmholtz Zentrum München (Germany) and Klinikum der Univ. München, Ludwig-Maximilians Univ. (Germany); Katharina Hellbach, Institut für Klinische Radiologie, Ludwig-Maximilians-Univ. Hospital München (Germany); Felix G. Meinel, Margarita Braunagel, Institut fü Klinische Radiologie, Ludwig-Maximilians-Univ. Hospital München (Germany); Oliver Eickelberg, Institut für Lungenbiologie, Helmholtz Zentrum München (Germany) and Comprehensive Pneumology Ctr. Munich (CPC-M), Helmholtz Zentrum München (Germany) and Klinikum der Univ. München, Ludwig-Maximilians Univ. (Germany); Maximilian F. Reiser, Institut für Klinische Radiologie, Ludwig-Maximilians-Univ. Hospital München (Germany); Franz Pfeiffer, Lehrstuhl für Biomedizinische Physik, Technische Univ. München (Germany); Silke Meiners, Institut für Lungenbiologie, Helmholtz Zentrum München GmbH (Germany) and Comprehensive Pneumology Ctr. Munich (CPC-M), Helmholtz Zentrum München (Germany) and Klinikum der Univ. München, Ludwig-Maximilians Univ. (Germany); Julia Herzen, Lehrstuhl für Biomedizinische Physik, Technische Univ. München (Germany) . . . . . [10132-206]

Classification of the micromorphology of breast calcifications in x-ray dark-field mammography, Konstantin Willer, Kai H. Scherer, Eva-Maria Braig, Sebastian Ehn, Jonathan Schock, Johannes Wolf, Lorenz J. B. Birnbacher, Michael Chabior, Institut für Medizintechnik, Technische Univ. München (Germany); Doris Mayr, Klinikum der Univ. München (Germany) and Ludwig-Maximilian-Univ. München (Germany); Susanne Grandl, Institut für Klinische Radiologie, Klinikum der Univ. München (Germany) and Ludwig Maximilian Univ. München (Germany); Aniko Sztrókay-Gaul, Karin Hellerhof, Ludwig-Maximilians-Univ. München (Germany) and Institut für Klinische Radiologie, Klinikum der Univ. München (Germany); Maximilian F. Reiser, Institut für Klinische Radiologie, Klinikum der Univ. München (Germany) and Ludwig-Maximilians-Univ. München (Germany); Franz Pfeiffer, Julia Herzen, Institut für Medizintechnik, Technische Univ. München (Germany) . . . [10132-207]

Phase unwrapping with differential phase image, Songzhe Lian, Hiroyuki Kudo, Jian Dong, Univ. of Tsukuba (Japan) . . . . . . . . . . . . . . [10132-208]

Radiography: X-Ray Imaging, Fluoroscopy, and Tomosynthesis

Focal spot size reduction using asymmetric collimation to enable reduced anode angles with a conventional angiographic x-ray tube for use with high resolution detectors, Megan K. Russ, Alok Shankar, Swetadri V. Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-209]

Experimental investigation of a HOPG crystal fan for x-ray fluorescence molecular imaging, Tanja Rosentreter, Helmholtz Zentrum München (Germany); Bernhard H. Müller, Otto-von-Guericke Univ. Magdeburg (Germany); Helmut Schlattl, Helmholtz Zentrum München GmbH (Germany); Christoph Hoeschen, Helmholtz Zentrum München GmbH (Germany) and Otto-von-Guericke-Univ. Magdeburg (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-210]

Real time implementation of anti-scatter grid artifact elimination method for high resolution x-ray imaging CMOS detectors using Graphics Processing Units (GPUs), Raman Rana, Swetadri V. Setlur Nagesh, Amit Jain, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr., Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-211]

Quantitative flow and velocity measurements of pulsatile blood flow with 4D DSA, Gabe Shaughnessy, Carson A. Hoffman, Univ. of Wisconsin-Madison (USA); Sebastian Schafer, Siemens Healthineers (USA); Charles A. Mistretta, Charles M. Strother, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . [10132-212]

CONFERENCE 10132


Development of a prototype chest digital tomosynthesis R/F system, Sunghoon Choi, Haenghwa Lee, Donghoon Lee, Seungyeon Choi, Yonsei Univ. (Korea, Republic of); Jungwook Shin, Woojin Jang, LISTEM (Korea, Republic of); Chang-Woo Seo, Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . [10132-213]

Localization of cardiac volume and patient features in inverse geometry x-ray fluoroscopy, Michael A. Speidel, Jordan M. Slagowski, David A. P. Dunkerley, Martin Wagner, Univ. of Wisconsin-Madison (USA); Tobias Funk, Triple Ring Technologies, Inc. (USA); Amish N. Raval, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-214]

X-ray vector radiography of a human hand, Christoph Jud, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany); Eva-Maria Braig, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany) and Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der TU München (Germany); Martin Dierolf, Elena Eggl, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany); Benedikt Günther, Max-Plank-Institut für Quantenoptik, Technische Univ. München (Germany) and Lehrstuhl für biomedizinische Physik, Institut für Medizintechnik, Technische Univ. München (Germany); Klaus Achterhold, Bernhard Gleich, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany); Ernst J. Rummeny, Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der TU München (Germany); Peter B. Noel, Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der TU München (Germany) and Lehrstuhl für biomedizinische Physik, Institut für Medizintechnik, Technische Univ. München (Germany); Daniela Münzel, Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der TU München (Germany); Franz Pfeiffer, Lehrstuhl für biomedizinische Physik, Technische Univ. München (Germany) and Institut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der TU München (Germany) and Institut for Advanced Study, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-215]

Performance evaluation of algebraic reconstruction technique (ART) for prototype chest digital tomosynthesis (CDT) system, Haenghwa Lee, Ye-seul Kim, Sunghoon Choi, Donghoon Lee, Dohyeon Kim, Chao Zhen, Seungyeon Choi, Youngjin Lee, Chang-Woo Seo, Hee-Joung Kim, Hye-Suk Park, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-216]

THURSDAY 16 FEBRUARYSESSION 12

LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . .THU 8:00 AM TO 9:40 AM

New Systems and TechnologiesSession Chairs: Rebecca Fahrig, Siemens Healthineers (Germany);

John Yorkston, Carestream Health, Inc. (USA)

8:00 am: 3D-printed focused collimator for intra-operative gamma-ray detection, David W. Holdsworth, Hristo N. Nikolov, Steven I. Pollmann, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-56]

8:20 am: Pre-clinical blood pool contrast agent for dual energy imaging, Charmainne Cruje, Justin J. Tse, David W. Holdsworth, Robarts Research Institute, Western Univ. (Canada); Elizabeth R. Gillies, Western Univ. (Canada); Maria Drangova, Robarts Research Institute, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-57]

8:40 am: Automated 3D coronary sinus catheter detection using a scanning-beam digital x-ray system, David A. P. Dunkerley, Jordan M. Slagowski, Lindsay E. Bodart, Michael A. Speidel, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-58]

9:00 am: An x-ray based capsule for colorectal cancer screening incorporating single photon counting technology, Ronen D. Lifshitz, Yoav Kimchy, Nir Gelbard, Avi Leibushor, Oleg Golan, Avner Elgali, Salah Hassoon, Max Kaplan, Michael Smirnov, Boaz Shpigelman, Omer Bar-Ilan, Daniel Rubin, Alex Ovadia, Check-Cap Ltd. (Israel) . . . . . . . . . . . . . . . . [10132-59]

9:20 am: Simulation of a compact analyzer-based imaging system with a regular x-ray source, Oriol Caudevilla Torras, Wei Zhou, Illinois Institute of Technology (USA); Stanislav Stoupinc, Argonne National Lab. (USA); Boris Verman, Rigaku Innovative Technologies, Inc. (USA); Jovan G. Brankov, Illinois Intitute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-201]

POSTER AWARD ANNOUNCEMENTSLOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . 9:40 AM TO 9:45 AM

The Physics of Medical Imaging conference poster award recipients will be recognized and certificates distributed.

SPONSORED BY:

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Thu 9:45 am to 10:10 am

SESSION 13LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . THU 10:10 AM TO 12:10 PM

Modeling and Simulations I: CTSession Chairs: Despina Kontos,

Perelman Ctr. for Advanced Medicine (USA); Lifeng Yu, Mayo Clinic (USA)

10:10 am: Airways, vasculature, and interstitial tissue: anatomically-informed computational modeling of human lungs for virtual clinical trials, Ehsan Abadi, Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Greeshma Agasthya, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. School of Medicine (USA); Brian Harrawood, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Anuj Kapadia, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. School of Medicine (USA); Wiliam P. Segars, Ehsan Samei, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-61]

10:30 am: A virtual clinical trial using projection-based nodule insertion to determine radiologist reader performance in lung cancer screening CT, Lifeng Yu, Qiyuan Hu, Chi Wan Koo, Edwin A. Takahashi, David L. Levin, Tucker F. Johnson, Megan J. Hora, Shane Dirks, Baiyu Chen, Kyle McMillan, Shuai Leng, Joel G. Fletcher, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . [10132-62]

10:50 am: Inter-algorithm tumor volumetry comparison of real and 3D simulated lesions in CT, Marthony Robins, Justin B. Solomon, Jocelyn Hoye, Taylor B. Smith, Duke Univ. School of Medicine (USA); Lukas Ebner, Ehsan Samei, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-63]

11:10 am: Learning-based stochastic object models for use in optimizing imaging systems, Steven R. Dolly, Mark A. Anastasio, Washington Univ. in St. Louis (USA); Lifeng Yu, Mayo Clinic (USA); Hua Li, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-64]

11:30 am: False dyssynchrony: problem with image-based cardiac functional analysis using x-ray computed tomography, Katsuyuki Taguchi, The Johns Hopkins Univ. School of Medicine (USA); Zeyang Shen, The Johns Hopkins Univ. School of Medicine (USA) and Southeast Univ. (China); Yuki Suzuki, The Johns Hopkins Univ. School of Medicine (USA) Osaka Univ. (Japan), and Nara Advanced Institute of Science and Technology (Japan); Luisa Ciuffo, Hiroshi Ashikaga, The Johns Hopkins Univ. School of Medicine (USA); George S. K. Fung, Johns Hopkins Outpatient Ctr. (USA); Yoshito Otake, Nara Advanced Institute of Science and Technology (Japan); Stefan L. Zimmerman, Joao A. C. Lima, The Johns Hopkins Univ. School of Medicine (USA); Takahiro Higuchi, Julius-Maximilians-Univ. Würzburg (Germany); Okkyun Lee, The Johns Hopkins Univ. School of Medicine (USA); Yoshinobu Sato, Nara Institute of Science and Technology (Japan); Lewis C. Becker, Elliot K. Fishman, The Johns Hopkins Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-65]

11:50 am: Reanimating patients: cardio-respiratory CT and MR motion phantoms based on clinical CT patient data, Johannes Mayer, Sebastian Sauppe, Christopher M. Rank, Stefan Sawall, Marc Kachelrieß, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-66]

Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Thu 12:10 pm to 1:20 pm

SESSION 14LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . .THU 1:20 PM TO 3:00 PM

Modeling and Simulations II: Breast ImagingSession Chairs: Hilde Bosmans, KU Leuven (Belgium);

Anders Tingberg, Lund Univ. (Sweden)

1:20 pm: High-resolution, anthropomorphic, computational breast phantom: fusion of rule-based structures with patient-based anatomy, Xinyuan C. Chen, Xiaolin Gong, Duke Univ. (USA); Christian G. Graff, U.S. Food and Drug Administration (USA); Maira Santana, Gregory M. Sturgeon, Thomas J. Sauer, Duke Univ. (USA); Rongping Zeng, Stephen J. Glick, U.S. Food and Drug Administration (USA); Joseph Y. Lo, Duke Univ. (USA) . . . . . . . . . . . . . [10132-67]

1:40 pm: Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction, Thomas J. Sauer, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Physics Graduate Program (USA); Christian G. Graff, Rongping Zeng, U.S. Food and Drug Administration (USA); Maira Santana, Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Physics Graduate Program (USA); Hilde Bosmans, UZ Leuven (Belgium); Stephen J. Glick, U.S. Food and Drug Administration (USA); Xinyuan C. Chen, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Physics Graduate Program (USA); Wiliam P. Segars, UZ Leuven (USA); Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) and Duke Univ. Medical Physics Graduate Program (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-68]

CONFERENCE 10132

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2:00 pm: Third generation anthropomorphic physical phantom for mammography and DBT: Incorporating voxelized 3D printing and uniform chest wall QC region, Christine Zhao, Justin B. Solomon, Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Michael E. Gehm, Matthew Catenacci, Benjamin J. Wiley, Duke Univ. (USA); Ehsan Samei, Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA) . . . . . . [10132-69]

2:20 pm: A novel, realistic breast phantom for 2D and 3D x-ray imaging, Lynda C. Ikejimba, Christian G. Graff, U.S. Food and Drug Administration (USA); Shani Rosenthal, Carnegie Mellon Univ. (USA); Bahaa Ghammraoui, Andreu Badal, U.S. Food and Drug Administration (USA); Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (USA); Stephen J. Glick, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-70]

2:40 pm: In silico imaging clinical trials for regulatory evaluation: initial considerations for a demonstration study, Aldo Badano, Andreu Badal, Stephen J. Glick, Christian G. Graff, Frank W. Samuelson, Diksha Sharma, Rongping Zeng, U.S. Food and Drug Administration (USA) . . . . . . . . . . [10132-71]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Thu 3:00 pm to 3:30 pm

SESSION 15LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . .THU 3:30 PM TO 5:30 PM

Breast Imaging: TomosynthesisSession Chairs: Andreu Badal, U.S. Food and Drug Administration

(USA); Wei Zhao, Stony Brook Medicine (USA)

3:30 pm: An alternate design for the Defrise phantom to quantify resolution in digital breast tomosynthesis, Raymond J. Acciavatti, William Mannherz, Margaret Nolan, Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-72]

3:50 pm: Comparing the imaging performance of computed super-resolution and magnification tomography, Tristan D. Maidment, Case Western Reserve Univ. (USA); Trevor L. Vent, Univ. of Pennsylvania (USA); William S. Ferris, Univ. of Wisconsin-Madison (USA); David E. Wurtele, Swarthmore College (USA); Raymond J. Acciavatti, Andrew D. A. Maidment, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-73]

4:10 pm: Metal artifact reduction using a patch-based reconstruction for digital breast tomosynthesis, Lucas R. Borges, Escola de Engenharia de Sao Carlos, Univ. de São Paulo (Brazil); Predrag R. Bakic, Andrew D. A. Maidment, The Univ. of Pennsylvania Health System (USA); Marcelo A. C. Vieira, Escola de Engenharia de Sao Carlos, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . [10132-74]

4:30 pm: Metal and calc artifact reduction for digital breast tomosynthesis, Julia Wicklein, Siemens Healthineers (Germany); Anna Jerebko, Thomas Mertelmeier, Siemens AG (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-75]

4:50 pm: Contrast enhanced imaging with a stationary digital breast system, Jabari Calliste, Gongting Wu, Christy R. Inscoe, The Univ. of North Carolina at Chapel Hill (USA); Bo Gao, XinRay Systems Inc. (USA); Yueh Z. Lee, Otto Zhou, Jianping Lu, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . [10132-76]

5:10 pm: Effects of detector blur and correlated noise on digital breast tomosynthesis reconstruction, Jiabei Zheng, Jeffrey A. Fessler, Univ. of Michigan (USA); Heang-Ping Chan, Univ of Michigan (USA) . . . . . . . . . [10132-77]

CONFERENCE 10132


CONFERENCE 10133Sunday–Tuesday 12–14 February 2017 • Proceedings of SPIE Vol. 10133

Image ProcessingConference Chairs: Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA); Elsa D. Angelini, Imperial College London (United Kingdom), Télécom ParisTech (France)

Program Committee: Rafeef Abugharbieh, The Univ. of British Columbia (Canada); Paul Aljabar, King’s College London (United Kingdom); Mostafa Analoui, Livingston Securities LLC (USA); Brian B. Avants, Univ. of Pennsylvania (USA); Meritxell Bach-Cuadra, Univ. de Lausanne (Switzerland); Kyongtae Ty Bae, Univ. of Pittsburgh Medical Ctr. (USA); Ulas Bagci, Univ. of Central Florida (USA); Christian Barillot, IRISA / INRIA Rennes (France); Benoit M. Dawant, Vanderbilt Univ. (USA); Marleen de Bruijne, Erasmus MC (Netherlands); Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil); Aaron Fenster, Robarts Research Institute (Canada); Alejandro F. Frangi, The Univ. of Sheffield (United Kingdom); Mona K. Garvin, The Univ. of Iowa (USA); James C. Gee, Univ. of Pennsylvania (USA); Guido Gerig, New York Univ. (USA); Benjamin Glocker, Imperial College London (United Kingdom); Miguel Angel González Ballester, Univ. Pompeu Fabra (Spain); Hayit Greenspan, Tel Aviv Univ. (Israel); Ghassan Hamarneh, Simon Fraser Univ. (Canada); David R. Haynor, Univ. of Washington (USA); Tobias Heimann, Siemens AG (Germany); Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands); Stefan Klein, Erasmus MC (Netherlands); Ender Konukoglu, ETH Zürich (Switzerland); Bennett A. Landman, Vanderbilt Univ. (USA); Tianhu Lei, MD Imaging Research (USA); Boudewijn P. F. Lelieveldt, Leiden Univ. Medical Ctr. (Netherlands); Marius George Linguraru, Children’s National Medical Ctr. (USA); Murray H. Loew, The George Washington Univ. (USA); Cristian Lorenz, Philips Research (Germany); Frederik Maes, Katholieke Univ. Leuven (Belgium); Diana Mateus, Technische Univ. München (Germany); Vincent A. Magnotta, The Univ. of Iowa Hospitals and Clinics (USA); Sunanda D. Mitra, Texas Tech Univ. (USA); Kensaku Mori, Nagoya Univ. (Japan); Nassir Navab, Technische Univ. München (Germany), Johns Hopkins Univ. (USA); Mads Nielsen, Niels Bohr Institute (Denmark); Wiro J. Niessen, Erasmus MC (Netherlands); Brian Nutter, Texas Tech Univ. (USA); Sébastien Ourselin, Univ. College London (United Kingdom); Dzung L. Pham, Henry Jackson Foundation/USU (USA), National Institutes of Health (USA), Johns Hopkins Univ. (USA); Jerry L. Prince, Johns Hopkins Univ. (USA); Sonia Pujol, Brigham and Women’s Hospital (USA); Xin Qi, Rutgers, The State Univ. of New Jersey (USA); Punam K. Saha, The Univ. of Iowa (USA); Olivier Salvado, Commonwealth Scientific and Industrial Research Organisation (Australia); Lin Shi, The Chinese Univ. of Hong Kong (China); Marius Staring, Leiden Univ. Medical Ctr. (Netherlands); Raphael Sznitman, Univ. Bern (Switzerland); Philippe Thevenaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland); Jayaram K. Udupa, Univ. of Pennsylvania (USA); Koen Van Leemput, Harvard Medical School (USA), Massachusetts General Hospital (USA); Tom K. Vercauteren, Univ. College London (United Kingdom); Tomaž Vrtovec, Univ. of Ljubljana (Slovenia); Wolfgang Wein, ImFusion GmbH (Germany)

SUNDAY 12 FEBRUARYSESSION 1

LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . .SUN 8:00 AM TO 9:40 AM

Deep Neural NetworksSession Chairs: Alexandre X. Falcão, Univ. Estadual de Campinas

(Brazil); Hayit Greenspan, Tel Aviv Univ. (Israel)

8:00 am: Fovea detection in optical cohorence tomography using convolutional neural networks, Bart Liefers, Freerk G. Venhuizen, Thomas Theelen, Carel B. Hoyng, Bram van Ginneken, Clara I. Sanchez, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-1]

8:20 am: Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks, Parmeet S. Bhatia, Fitsum A. Reda, Siemens Healthineers (USA); Martin Harder, Siemens Healthineers (Germany); Yiqiang Zhan, Xiang Sean Zhou, Siemens Healthineers (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-2]

8:40 am: Marginal shape deep learning: applications to pediatric lung field segmentation, Awais Mansoor, Juan J. Cerrolaza, Geovany Perez, Elijah Biggs, Gustavo Nino, Children’s National Health System (USA); Marius G. Linguraru, Children’s National Health System (USA) and George Washington Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-3]

9:00 am: Accurate segmentation of lung fields on chest radiographs using deep convolutional networks, Mohammad R. Arbabshirani, Geisinger Health System (USA); Ahmed Dallal, Geisinger Health System (USA) and Univ. of Pittsburg (USA); Chirag Agarwal, Geisinger Health System (USA) and Univ. of Illinois at Chicago (USA); Aalpan Patel, Gregory Moore, Geisinger Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-4]

9:20 am: Intervertebral disc segmentation in MR images with 3D convolutional networks, Robert Korez, Univ. of Ljubljana (Slovenia); Bulat Ibragimov, Univ. of Ljubljana (Slovenia) and Stanford Univ. School of Medicine (USA); Bostjan Likar, Franjo Pernuš, Tomaž Vrtovec, Univ. of Ljubljana (Slovenia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-5]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Sun 9:40 am to 10:10 am

SESSION 2LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . SUN 10:10 AM TO 12:10 PM

Keynote and Segmentation ISession Chairs: Mads Nielsen, Niels Bohr Institute (Denmark);

Benoit M. Dawant, Vanderbilt Univ. (USA)

10:10 am: An atlas of the (near) future: cognitive computing applications for medical imaging (Keynote Presentation), Anne LeGrand, IBM Watson Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-6]

11:10 am: An iterative method for airway segmentation using multiscale leakage detection, Syed Ahmed Nadeem, Dakai Jin, Punam K. Saha, The Univ. of Iowa (USA); Eric A. Hoffman, The Univ. of Iowa Hospitals and Clinics. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-7]

11:30 am: Multi-atlas spleen segmentation on CT using adaptive context learning, Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Vanderbilt Univ. (USA); Albert Assad, Incyte Corp. (USA); Richard G. Abramson, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-8]

11:50 am: Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly, Yuankai Huo, Jiaqi Liu, Robert L. Harrigan, Vanderbilt Univ. (USA); Albert Assad, Incyte Corp. (USA); Richard G. Abramson, Bennett A. Landman, Zhoubing Xu, Vanderbilt Univ. (USA) . . . . . . . . . . . [10133-9]

Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sun 12:10 pm to 1:20 pm

SUNDAY/MONDAY POSTER VIEWINGLOCATION: OCEANS BALLROOM . . . . . . . . . . 12:00 PM TO 9:00 PM

Posters will be on display Sunday and Monday with extended viewing until 9:00 pm on Sunday. The poster session with authors in attendance will be on Monday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

SESSION 3LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . .SUN 1:20 PM TO 3:00 PM

Computer VisionSession Chairs: Jerry L. Prince, Johns Hopkins Univ. (USA);

Murray H. Loew, The George Washington Univ. (USA)

1:20 pm: Improving 3D surface reconstruction from endoscopic video via fusion and refined reflectance modeling, Rui Wang, True Price, Qingyu Zhao, Jan-Michael Frahm, Julian G. Rosenman, Stephen M. Pizer, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-10]

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1:40 pm: Automatic estimation of retinal nerve fiber bundle orientation in SD-OCT images using a structure-oriented smoothing filter, Babak Ghafaryasl, Technische Univ. Delft (Netherlands) and Rotterdam Ophthalmic Institute, The Rotterdam Eye Hospital (Netherlands); Robert Baart, Technische Univ. Delft (Netherlands); Johannes F. de Boer, Vrije Univ. Amsterdam (Netherlands); Koenraad A. Vermeer, Rotterdam Ophthalmic Institute, The Rotterdam Eye Hospital (Netherlands); Lucas J. van Vliet, Technische Univ. Delft (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-11]

2:00 pm: Detection of coronary arteries using Gabor filters with automatic parameter selection, Ivan Cruz-Aceves, Fernando Cervantes-Sanchez, Arturo Hernández Aguirre, Ctr. de Investigación en Matemáticas, A.C. (Mexico); Sergio Solorio-Meza, Instituto Mexicano del Seguro Social (Mexico); Teodor Cordova-Fraga, Juan G. Avina-Cervantes, Univ. de Guanajuato. (Mexico) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-12]

2:20 pm: AWM: Adaptive Weight Matting for medical image segmentation, Jieyu Cheng, Bernard C. Y. Chiu, City Univ. of Hong Kong (Hong Kong, China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-13]

2:40 pm: Boundary segmentation for fluorescence microscopy using steerable filters, David J. Ho, Purdue Univ. (USA); Paul Salama, Indiana Univ.-Purdue Univ. Indianapolis (USA); Kenneth W. Dunn, Indiana Univ. (USA); Edward J. Delp III, Purdue Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-14]

Coffee Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sun 3:00 pm to 3:30 pm

SESSION 4LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . .SUN 3:30 PM TO 5:30 PM

Segmentation: BrainSession Chairs: Dzung L. Pham, Henry M. Jackson Foundation (USA);

David R. Haynor, Univ. of Washington (USA)3:30 pm: Large deep neural networks for MS lesion segmentation, Juan Carlos Prieto, The Univ. of North Carolina at Chapel Hill (USA); Michele Cavallari, Miklos Palotai, Alfredo Morales Pinzón, Svetlana Egorova, Brigham and Women’s Hospital, Harvard Medical School (USA); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA); Charles R. G. Guttmann, Brigham and Women’s Hospital, Harvard Medical School (USA) . . . . . . . . . . . . . . . . [10133-15]

3:50 pm: Generative adversarial networks for brain lesion detection, Ganapathy Krishnamurthi, Sai Saketh Chennamsetty, Mohammed Safwan, Ekansh Verma, Varghese Alex, Indian Institute of Technology Madras (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-16]

4:10 pm: Machine learning in a graph framework for subcortical segmentation, Zhihui Guo, Satyananda Kashyap, Milan Sonka, The Univ. of Iowa (USA); Ipek Oguz, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . [10133-17]

4:30 pm: Sulci segmentation using geometric active contours, Mahsa Torkaman, Stony Brook Univ. (USA); Liangjia Zhu, Varian Medical Systems, Inc. (USA); Peter Karasev, MiRus Spine & Orthopaedics (USA); Allen R. Tannenbaum, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . [10133-18]

4:50 pm: Multi-modal and targeted imaging improves automated mid-brain segmentation, Andrew J. Plassard, Pierre-François D’Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10133-19]

5:10 pm: An algorithm for automatic parameter adjustment for skull extraction in BrainSuite, Gautham Rajagopal, Richard M. Leahy, Anand A. Joshi, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-20]

WORKSHOPLOCATION: OCEANS 4 . . . . . . . . . . . . . . . . .TUE 5:45 PM TO 7:45 PM

Deep Learning in Medical Image AnalysisModerators: Mads Nielsen, Univ. of Copenhagen (Denmark);

Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands)

Panelists: Nikolas Lessmann, Univ. Medical Ctr. Utrecht (Netherlands); Akshay Pai, Univ. of Copenhagen (Denmark); Bob D. deVos, Univ.

Medical Ctr. Utrecht (Netherlands); Jelmer M. Wolterink, Univ. Medical Ctr. Utrecht (Netherlands)

Deep learning is increasingly used in medical image analysis and often outperforms other machine learning approaches. However, new methodologies are always accompanied by new challenges and often require a new perspective on existing problems. This workshop is intended for researchers at the beginner and intermediate level who want to start using or intensify the usage of deep learning in their research.

The workshop will introduce basic concepts as well as recent developments with a special focus on their application in medical image analysis. The lectures will include practical tips such as common pitfalls and an overview of popular software frameworks and hardware setups. Next to theoretical lectures, concrete applications will be demonstrated and there will be room for questions and discussions.


LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

Brain: fMRI and DTISession Chairs: Ulas Bagci, Univ. of Central Florida (USA);

Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA)

8:00 am: Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI, Vishwesh Nath, Kurt G. Schilling, Justin A. Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-21]

8:20 am: Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI, Adora M. Dsouza, Anas Z. Abidin, Univ. of Rochester (USA); Lutz Leistritz, Friedrich-Schiller-Univ. Jena (Germany); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-22]

8:40 am: Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging, Kurt G. Schilling, Institute of Imaging Science, Vanderbilt Univ. (USA); Vishwesh Nath, Justin Blaber, Vanderbilt Univ. (USA); Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, Institute of Imaging Science, Vanderbilt Univ. (USA) . . . . . . . [10133-23]

9:00 am: Subparcellation of cortical ROIs based on resting state fMRI, Gaurav Sonkar, National Institute of Technology, Warangal (India); Richard M. Leahy, Anand A. Joshi, Signal and Image Processing Institute, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-24]

9:20 am: White matter fiber-based analysis of T1w/T2w ratio map, Haiwei Chen, The Univ. of North Carolina at Chapel Hill (USA); Francois Budin, Kitware, Inc. (USA); Jean Noel, Juan Carlos Prieto, John H. Gilmore, The Univ. of North Carolina at Chapel Hill (USA); Jerod Rasmussen, Pathik D. Wadhwa, Univ. of California, Irvine (USA); Sonja Entringer, Claudia Buss, Institut für Medizinische Psychologie, Charité Universitätsmedizin Berlin (Germany); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . . [10133-25]


SESSION 6LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

Quantitative Image AnalysisSession Chair: Marleen de Bruijne, Erasmus MC (Netherlands)

10:10 am: Rapid perfusion quantification using Welch-Satterthwaite approximation and analytical spectral filtering, Karthik Krishnan, SAMSUNG (India); Kasireddy V. Reddy, Bhavya Ajani, SAMSUNG Electronics, India Software Operations Ltd. (India); Phaneendra K. Yalavarthy, Indian Institute of Science (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-26]

10:30 am: Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network, Jurica Šprem, Bob D. de Vos, Pim A. de Jong, Max A. Viergever, Ivana Isgum, Univ. Medical Ctr. Utrecht (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-27]

10:50 am: Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks, Amir H. Abdi, The Univ. of British Columbia (Canada); Christina Luong, Teresa Tsang, Vancouver General Hospital, Vancouver Coastal Health (Canada); Gregory Alan, Saman Nouranian, The Univ. of British Columbia (Canada); John Jue, Vancouver General Hospital, Vancouver Coastal Health (Canada); Dale Hawley, Vancouver Coastal Health (Canada); Sarah Fleming, Ken Gin, Jody Swift, Vancouver General Hospital, Vancouver Coastal Health (Canada); Robert N. Rohling, Purang Abolmaesumi, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-28]

11:10 am: Automatic localization of cochlear implant electrodes in CTs with a limited intensity range, Yiyuan Zhao, Benoit M. Dawant, Jack H. Noble, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-29]

11:30 am: Fully automated lobe-based airway taper index calculation in a low dose MDCT CF study over 4 time-points, Oliver Weinheimer, Mark O. Wielpütz, Philip Konietzke, Claus P. Heussel, Ruprecht-Karls-Univ. Heidelberg (Germany); Hans-Ulrich Kauczor, UniversitätsKlinikum Heidelberg (Germany); Dasha Savage, Stanford Univ. (USA); Craig J. Galban, Univ. of Michigan (USA); Terry E. Robinson, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . [10133-30]

11:50 am: Segmentation and feature extraction of retinal vascular morphology, Henry Leopold, John S. Zelek, Vasudevan Lakshminarayanan, Jeffery J. Orchard, Univ. of Waterloo (Canada). . . . . . . . . . . . . . . . . . . . [10133-31]


CONFERENCE 10133


SESSION 7LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . MON 1:20 PM TO 3:40 PM

RegistrationSession Chairs: James C. Gee, Univ. of Pennsylvania (USA);

Marius Staring, Leiden Univ. Medical Ctr. (Netherlands)

1:20 pm: An octree based approach to multi-grid B-spline registration, Pingge Jiang, James A. Shackleford, Drexel Univ. (USA) . . . . . . . . . . . . [10133-32]

1:40 pm: Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization, Qiangding Wei, Fei Shi, Xinjian Chen, Soochow Univ. (China); Haoyu Chen, Joint Shantou International Eye Ctr., Shantou Univ. (China) . . . . . . . . . . . . . . . . . . . . . [10133-33]

2:00 pm: Active registration models, Kasper Marstal, Stefan Klein, Erasmus MC (Netherlands) . . . . . . . . . . . [10133-34]

2:20 pm: Evaluation of non-rigid registration parameters for atlas-based segmentation of CT images of human cochlea, Mai Elfarnawany, S. Riyahi Alam, Sumit K. Agrawal, Hanif M. Ladak, Western Univ. (Canada) . . . . [10133-35]

2:40 pm: ACIR: automatic cochlea image registration, Ibraheem Al-Dhamari, Sabine Bauer, Dietrich W. Paulus, Univ. Koblenz-Landau (Germany); Fredirich Lesseck, Roland Jacob, Central Military Hospital, Koblenz (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-36]

3:00 pm: Whole-body diffusion-weighted MR image stitching and alignment to anatomical MRI, Jakub Ceranka, Mathias Polfliet, Vrije Univ. Brussel (Belgium); Frederic Lecouvet, Nicolas Michoux, Cliniques Univ. Saint-Luc (Belgium); Jef Vandemeulebroucke, Vrije Univ. Brussel (Belgium) . . . . . [10133-37]

3:20 pm: A novel model-based evolutionary algorithm for multi-objective deformable image registration with content mismatch and large deformations: benchmarking efficiency and quality, Anton Bouter, Centrum Wiskunde & Informatica, Netherlands Organisation for Scientific Research (NWO) (Netherlands); Tanja Alderliesten, Academisch Medisch Centrum (Netherlands); Peter A. N. Bosman, Centrum Wiskunde & Informatica, Netherlands Organisation for Scientific Research (NWO) (Netherlands) . . . . . . . . . . . . . . . . . . . . . [10133-38]









SUNDAY/MONDAY POSTERSLOCATION: OCEANS BALLROOM . . . . . . .MON 5:30 PM TO 7:00 PM

Posters for this conference will be on display Sunday and Monday. The poster session with authors in attendance will be on Monday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Tuesday morning before the lunch break.

POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . . MON 5:30 PM TO 7:00 PMLaplacian eigenmaps for multimodal groupwise image registration, Mathias Polfliet, Vrije Univ. Brussel (Belgium) and iMinds (Belgium) and Erasmus MC (Netherlands); Stefan Klein, Erasmus MC (Netherlands); Wiro J. Niessen, Erasmus MC (Netherlands) and Technische Univ. Delft (Netherlands); Jef Vandemeulebroucke, Vrije Univ. Brussel (Belgium) and iMinds (Belgium) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-59]

Using flow feature to extract pulsatile blood flow from 4D flow MRI images, Zhiqiang Wang, Ye Zhao, Kent State Univ. (USA); Whitney Yu, Xi Chen, Chen Lin, Stephen F. Kralik, Indiana Univ.-Purdue Univ. Indianapolis (USA) . . . . . [10133-60]

Super-resolution convolutional neural network for the improvement of the image quality of magnified images in chest radiographs, Kensuke Umehara, Junko Ota, Naoki Ishimaru, Shunsuke Ohno, Kentaro Okamoto, Takanori Suzuki, Naoki Shirai, Takayuki Ishida, Osaka Univ. (Japan) . . . . . . . . . . . . . . . . [10133-61]

Graph Search; active appearance model based automated segmentation of retinal layers for optic nerve head centered OCT Images, Enting Gao, Fei Shi, Weifang Zhu, Chao Jin, Min Sun, Soochow Univ. (China); Haoyu Chen, Joint Shantou International Eye Ctr., Shantou Univ. (China); Xinjian Chen, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-62]

Fast recovery of compressed multi-contrast magnetic resonance images, Alper Gungor, ASELSAN A.S (Turkey); Emre Kopanoglu, ASELSAN A.S. (Turkey); Tolga Çukur, Bilkent Univ. (Turkey); H. Emre Guven, ASELSAN A.S. (Turkey) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-63]

Evaluation of the sparse coding super-resolution method for improving image quality of up-sampled images in computed tomography, Junko Ota, Kensuke Umehara, Naoki Ishimaru, Shunsuke Ohno, Kentaro Okamoto, Takanori Suzuki, Naoki Shirai, Takayuki Ishida, Osaka Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-64]

Motion correction of dynamic contrast enhanced MRI of the liver, Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Univ. Medical Ctr. Utrecht (Netherlands); Josien P. W. Pluim, Image Science Institute, Univ. Medical Ctr. Utrecht, Utrecht Univ. (Netherlands) . . . . . . . . . . . . . . . . . . [10133-65]

Supervised local error estimation for nonlinear image registration using convolutional neural networks, Koen Eppenhof, Technische Univ. Eindhoven (Netherlands); Josien P. W. Pluim, Technische Univ. Eindhoven (Netherlands) and Univ. Medical Ctr. Utrecht, Utrecht Univ. (Netherlands) . . . . . . . . . . . . . [10133-66]

Computer aided analysis of prostate histopathology images to support a refined Gleason grading system, Jian Ren, Evita Sadimin, Rutgers, The State Univ. of New Jersey (USA); David J. Foran, Rutgers Cancer Institute of New Jersey (USA); Xin Qi, Rutgers, The State Univ. of New Jersey (USA) . . . [10133-67]

Pseudo CT estimation from MRI using patch-based random forest, Xiaofeng Yang, Yang Lei, Hui Mao, Hui-Kuo Shu, Walter J. Curran, Tian Liu, Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-68]

Automatic segmentation of left ventricle in cardiac cine MR images based on deep learning, Tian Zhou, Merck & Co., Inc. (USA) and Rutgers, The State Univ. of New Jersey (USA); Ilknur Icke, Belma Dogdas, Merck & Co., Inc. (USA); Sarayu Parimal, Smita Sampath, Merck Sharp & Dohme (Singapore); Joseph Forbes, Ansuman Bagchi, Merck & Co., Inc. (USA); Chih-Liang Chin, Merck Sharp & Dohme (Singapore); Antong Chen, Merck & Co., Inc. (USA) . . . . . . . . [10133-69]

Random walk and graph cut based active contour model for three-dimension interactive pituitary adenoma segmentation from MR images, Min Sun, Xinjian Chen, Soochow Univ. (China); Zhiqiang Zhang, Chiyuan Ma, School of Medicine, Nanjing Univ. (China) and Jinling Hospital, Nanjing Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-70]

Auto-focused panoramic dental tomosynthesis imaging with exponential polynomial based sharpness indicators, Taewon Lee, KAIST (Korea, Republic of); Yeon Ju Lee, Korea Univ. Sejong Campus (Korea, Republic of); Seungryong Cho, KAIST (Korea, Republic of) . . . . [10133-71]

Blind deconvolution combined with level set method for cupping artifacts correction in cone beam CT, Shipeng Xie, Wenqin Zhuang, Nanjing Univ. of Posts and Telecommunications (China); Wenze Shao, Nanjing Univ. of Science and Technology (China); Peirui Bai, Shandong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-72]

3D ultrasound volume reconstruction using global filling mode, Weijian Cong, BeiHang Univ. (China); Jian Yang, Beijing Institute of Technology (China); Danni Ai, Gongbo Yang, Xiaohui Liang, Beihang Univ. (China); Yongtian Wang, Beijing Institute of Technology (China) . . . . . . . . . . . . . [10133-73]

An optimized 3D stitching algorithm for whole body SPECT based on transition error minimization (TEM), Xinhua Cao, Boston Children’s Hospital, Harvard Medical School (USA); Xiaoyin Xu, Brigham and Women’s Hospital, Harvard Medical School, Harvard Univ. (USA); Stephan Voss, Boston Children’s Hospital, Harvard Medical School (USA). . . . . . . . . . . . . . . . . . . . . . . . . [10133-74]

Hyperspectral image processing for detection and grading of skin erythema, Ali Madooei, Simon Fraser Univ. (Canada); Ramy M. Y. M. Abdlaty, McMaster Univ. (Canada); Lilian Doerwald-Munoz, Joseph E. Hayward, Juravinski Cancer Ctr., Hamilton Health Sciences (Canada); Mark S. Drew, Simon Fraser Univ. (Canada); Qiyin Fang, McMaster Univ. (Canada); Josiane B. Zerubia, INRIA Sophia Antipolis - Méditerranée (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-75]

Multi-contrast MRI registration of carotid arteries based on cross-sectional images and Lumen boundaries, Yuxia Wu, Xi Zhang, Xiaopan Xu, Yang Liu, Guopeng Zhang, Fourth Military Medical Univ. (China); Huijun Chen, Tsinghua Univ. (China); Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . [10133-76]

CONFERENCE 10133

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Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach, Xiangrong Zhou, Ryosuke Takayama, Gifu Univ. School of Medicine (Japan); Song Wang, Univ. of South Carolina (USA); XinXin Zhou, Nagoya Bunri Univ. (Japan); Takeshi Hara, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-77]

Microscopic neural image registration based on the structure of mitochondria, Huiwen Cao, Institute of Automation, Chinese Academy of Sciences (China); Hua Han, Institute of Automation, Chinese Academy of Sciences (China) and Ctr. for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (China); Qiang Rao, Institute of Automation, Chinese Academy of Sciences (China); Chi Xiao, Xi Chen, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . [10133-78]

High precision automated face localization in thermal images: oral cancer dataset as test case, Manashi Chakraborty, Indian Institute of Technology Kharagpur (India); Suraj K. Raman, National Institute of Technology, Tiruchirappalli (India); Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India); Santanu Patsa, Nishat Anjum, Jay G. Ray, Dr. R. Ahmed Dental College & Hospital, West Bengal Univ. of Health Sciences (India) . . . . . [10133-79]

Segmentation of cortical bone using fast level sets, Manish Chowdhury, Daniel Jörgens, Chunliang Wang, Örjan Smedby, Rodrigo Moreno, KTH Royal Institute of Technology (Sweden) . . . . . . . [10133-80]

View-interpolation of sparsely sampled sinogram using convolutional neural network, Hoyeon Lee, KAIST (Korea, Republic of); Jongha Lee, KAIST (Korea, Republic of) and SAMSUNG Electronics Co., Ltd. (Korea, Republic of); Suengryong Cho, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . [10133-81]

Deep Learning and shapes similarity for joint segmentation and tracing single neurons in SEM images, Qiang Rao, Chi Xiao, Institute of Automation, Chinese Academy of Sciences (China); Hua Han, Institute of Automation, Chinese Academy of Sciences (China) and Ctr. for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences (China); Xi Chen, Lijun Shen, Qiwei Xie, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-82]

Learning deep similarity in fundus photography, Piotr Chudzik, Francesco Caliva, Univ. of Lincoln (United Kingdom); Giovanni Ometto, Aarhus Univ. Hospital (Denmark); Bashir Al-Diri, Andrew Hunter, Univ. of Lincoln (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-83]

Cascaded deep decision networks for classification of endoscopic images, Venkatesh N. Murthy, Univ. of Massachusetts Amherst (USA); Vivek Singh, Shanhui Sun, Subhabrata Bhattacharya, Terrence Chen, Dorin Comaniciu, Siemens Medical Solutions USA, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . [10133-84]

Personalized design and virtual evaluation of physician-modified stent grafts for juxta-renal abdominal aortic aneurysms, Soroosh Sanathkhani, Univ. of Pittsburgh (USA); Prahlad G. Menon, Duquesne Univ. (USA) and Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-85]

Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy, Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-86]

Comparison of methods for modeling of corneal surfaces, Hala Bouazizi, Jean Meunier, Univ. de Montréal (Canada) . . . . . . . . . . . [10133-87]

Deep learning approach for automatic scoring HER2 whole slide images, Ismael Serrano, Anibal Pedraza, Maria del Milagro Fernández Carrobles, Univ. de Castilla-La Mancha (Spain); Marcial Garcia-Rojo, Hospital de Jerez de la Frontera (Spain); Luca Gonzalez, Hospital General Univ. (Spain); Gloria Bueno, Univ. de Castilla-La Mancha (Spain) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-88]

Accurate bolus arrival time estimation using piecewise model fitting, Elhassan Abdou, Jef Vandemeulebroucke, Vrije Univ. Brussel (Belgium) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-89]

A multi-object statistical atlas adaptive for deformable registration errors in anomalous medical image segmentation, Samuel Botter Martins, Thiago Vallin Spina, Clarissa Yasuda, Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-90]

Automatic MR prostate segmentation by deep learning with holistically-nested networks, Ruida Cheng, Holger R. Roth, Nathan S. Lay, Le Lu, Baris I. Turkbey, William Gandler, Evan S. McCreedy, Peter Choyke, Ronald M. Summers, Matthew J. McAuliffe, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-91]

Fully automated lumen segmentation of intracoronary optical coherence tomography images, Lambros S. Athanasiou, Institute for Medical Engineering and Science, Massachusetts Institute of Technology (USA) and Brigham and Women’s Hospital, Harvard Medical School (USA); Farhad Rikhtegar, Institute for Medical Engineering & Science, Massachusetts Institute of Technology (USA); Micheli Z. Galon, The Heart Institute (Incor), Univ. de São Paulo (Brazil); Augusto C. Lopes, Hospital Monte Klinikum (Brazil); Pedro A. Lemos, The Heart Institute (Incor), Univ. de São Paulo (Brazil); Elazer Edelman, Institute for Medical Engineering and Science, Massachusetts Institute of Technology (USA) and Brigham and Women’s Hospital, Harvard Medical School (USA) . . . . . . [10133-92]

Accurate registration of temporal CT images for pulmonary nodules detection, JiChao Yan, Shanghai United Imaging Healthcare Co., Ltd. (China); Luan Jiang, Qiang Li, Shanghai Advanced Research Institute, Chinese Academy of Sciences (China) and Shanghai United Imaging Healthcare Co., Ltd. (China) . . .[10133-93]

Automatic polyp detection in colonoscopy videos, Zijie Yuan, Mohammadhassan IzadyYazdanabadi, Arizona State Univ. (USA); Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Arizona State Univ. (USA); Nima Tajbakhsh, Arizona State Univ. (USA); Suryakanth Gurudu, Mayo Clinic (USA); Jianming Liang, Arizona State Univ. (USA) . . . . . . . . . . . . . . . . . [10133-94]

High frequency ultrasound in-plane registration of deformable finger vessels, Chengqian Che, Carnegie Mellon Univ. (USA); Jihang Wang, Univ. of Pittsburgh (USA); John Galeotti, Carnegie Mellon Univ. (USA) . . . . . . . . . . . . . . . . [10133-95]

Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization, Jianing Wang, Yuan Liu, Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . [10133-96]

A task-related and resting state realistic fMRI simulator for fMRI data validation, Jason E. Hill, Xiangyu Liu, Sunanda D. Mitra, Texas Tech Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-97]

Dental non-linear image registration and collection method with 3d reconstruction and change detection, Mark D. Rahmes, Dean Fagan, George Lemieux, Harris Corp. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-98]

Automatic segmentation of prostate CT images via deep learning and multi-atlases fusion, Ling Ma, Emory Univ. (USA) and Beijing Institute of Technology (China); Rongrong Guo, Guiyi Zhang, Funmilayo Tade, David M. Schuster, Emory Univ. (USA); Peter T. Nieh, Viraj V. Master, Georgia Institute of Technology (USA) and Emory Univ. (USA); Baowei Fei, Emory Univ. (USA) and Georgia Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-99]

Semi-automatic 3D lung nodule segmentation in CT using clustering and dynamic programming, Dustin Sargent, Sun Young Park, Merge Healthcare Inc., an IBM Co. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-100]

Learning-based interactive segmentation using the maximum mean cycle weight formalism, Sharmin Nilufar, Dao Sen Wang, Ottawa Hospital Research Institute, Univ. of Ottawa (Canada); John Girgis, Univ. of Ottawa (Canada); Carmen G. Palii, Ottawa Hospital Research Institute, Univ. of Ottawa (Canada); Dabo Yang, Alexandre Blais, Univ. of Ottawa (Canada); Marjorie Brand, Ottawa Hospital Research Institute, Univ. of Ottawa (Canada); Doina Precup, McGill Univ. (Canada); Theodore Perkins, Ottawa Hospital Research Institute, Univ. of Ottawa (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-101]

Unsupervised quantification of abdominal fat from CT images using greedy snakes, Chirag Agarwal, Univ. of Illinois at Chicago (USA) and Geisinger Health System (USA); Ahmed Dallal, Univ. of Pittsburgh (USA) and Geisinger Health System (USA); Mohammad R. Arbabshirani, Aalpen Patel, Gregory Moore, Geisinger Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-102]

CONFERENCE 10133



LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . TUE 8:00 AM TO 9:40 AM

Segmentation IISession Chairs: Marius G. Linguraru, Children’s National Medical Ctr.

(USA); Jayaram K. Udupa, Univ. of Pennsylvania (USA)

8:00 am: Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI, Guang Yang, National Heart and Lung Institute, Imperial College London (United Kingdom); Xiahai Zhuang, Shanghai Jiao Tong Univ. (China); Habib Khan, Shouvik Haldar, Eva Nyktari, National Heart and Lung Institute, Imperial College London (United Kingdom); Lei Li, Shanghai Jiao Tong Univ. (China); Xujiong Ye, Univ. of Lincoln (United Kingdom); Greg Slabaugh, City Univ. London (United Kingdom); Raad H. Mohiaddin, Tom Wong, National Heart and Lung Institute, Imperial College London (United Kingdom); Jennifer Keegan, National Heart and Lung Institute, Imperial College London (United Kingdom); David Firmin, National Heart and Lung Institute, Imperial College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-39]

8:20 am: Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation, Dong Wei, Susan P. Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos, Perelman School of Medicine, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-40]

8:40 am: An automated segmentation for direct assessment of adipose tissue distribution from thoracic and abdominal multi-echo Dixon MR images, Jason E. Hill, Texas Tech Univ. (USA); Maria Fernandez Del Valle, Southern Illinois Univ. Edwardsville (USA); Sunanda D. Mitra, Texas Tech Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-41]

9:00 am: Seed robustness of oriented relative fuzzy connectedness: core computation and its applications, Anderson C. M. Tavares, Hans H. C. Bejar, Paulo A. V. Miranda, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . [10133-42]

9:20 am: Comparison of thyroid segmentation techniques for 3D ultrasound, Tom Wunderling, Bjoern Golla, Otto-von-Guericke Univ. Magdeburg (Germany); Prabal Poudel, Otto-von-Guericke-Univ. Magdeburg (Germany); Michael Friebe, Christian Hansen, Otto-von-Guericke Univ. Magdeburg (Germany) . . . . [10133-43]


SESSION 9LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . TUE 10:10 AM TO 12:10 PM

ShapeSession Chairs: Punam Kumar Saha, The Univ. of Iowa (USA);

Tomaž Vrtovec, Univ. of Ljubljana (Slovenia)

10:10 am: Robust nuclei segmentation in cyto-histopathological images using statistical level set approach with topology preserving constraint, Shaghayegh Taheri, Thomas Fevens, Tien D. Bui, Concordia Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-44]

10:30 am: Direct spondylolysis identification and spondylolisthesis measurement in MR/CT using detectors trained by articulated parameterized spine model, Yunliang Cai, Thayer School of Engineering at Dartmouth (USA); Shuo Li, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-45]

10:50 am: Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis, Sungmin Hong, James Fishbaugh, New York Univ. (USA); Kaleem Siddiqi, Morteza Rezanejad, McGill Univ. (Canada); Hans J. Johnson, Jane S. Paulsen, Regina E. Y. Kim, The Univ. of Iowa (USA); Guido Gerig, New York Univ. (USA) . . . . . . . . . . . . . . . . . . [10133-46]

11:10 am: Simultaneous segmentation and correspondence improvement using statistical modes, Ayushi Sinha, Austin Reiter, Simon Leonard, Johns Hopkins Univ. (USA); Masaru Ishii, Johns Hopkins Bayview Medical Ctr., The Johns Hopkins Univ. School of Medicine (USA); Russell H. Taylor, Gregory D. Hager, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-47]

11:30 am: Improved automatic optic nerve radius estimation from high resolution MRI, Robert L. Harrigan, Alex K. Smith, Vanderbilt Univ. (USA); Louise A. Mawn, Vanderbilt Univ. Medical Ctr. (USA); Seth A. Smith, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-48]

11:50 am: Model-based correction of ultrasound image deformations due to probe pressure, Jawad Dahmani, Catherine Laporte, Yvan Petit, École de Technologie Supérieure, Univ. du Québec (Canada) . . . . . . . . . . . . . . . [10133-49]

POSTER AWARD ANNOUNCEMENTSLOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . 12:10 PM TO 12:15 PM

The Image Processing conference poster award recipients will be recognized and certificates distributed.


SESSION 10LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . . TUE 1:20 PM TO 3:00 PM

Population-based MethodsSession Chairs: Ivana Išgum, Univ. Medical Ctr. Utrecht (Netherlands);

Bennett A. Landman, Vanderbilt Univ. (USA)

1:20 pm: A segmentation editing framework based on shape change statistics, Mahmoud Mostapha, Jared Vicory, Martin A. Styner, Stephen M. Pizer, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . [10133-50]

1:40 pm: Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments, Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina M. Nelson, Andrew J. Plassard, Robert L. Harrigan, Louise A. Mawn, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . [10133-51]

2:00 pm: Tumor propagation model using generalized hidden Markov model, Sun Young Park, Dustin Sargent, Merge Healthcare Inc., an IBM Co. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-52]

2:20 pm: A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging, Fangxu Xing, Massachusetts General Hospital (USA); Jerry L. Prince, Johns Hopkins Univ. (USA); Maureen L. Stone, Univ. of Maryland, Baltimore (USA); Van J. Wedeen, Athinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital (USA); Georges El Fakhri, Jonghye Woo, Massachusetts General Hospital (USA) . . . . . . . . . . . . . [10133-53]

2:40 pm: Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning, Junghoon Lee, Aaron Carass, Amod Jog, Can Zhao, Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-54]


SESSION 11LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . .TUE 3:30 PM TO 4:50 PM

Image EnhancementSession Chair: Elsa D. Angelini, Télécom ParisTech (France)

3:30 pm: Image enhancement in positron emission mammography, Nikolai V. Slavine, Stephen Seiler, Roderick W. McColl, Robert E. Lenkinski, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA) . . . . . . . . . . . [10133-55]

3:50 pm: Scatter reduction by non-local techniques, Yingying Gu, Jun Zhang, Univ. of Wisconsin-Milwaukee (USA); Ping Xue, GE Healthcare (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-56]

4:10 pm: Resolution enhancement for x-ray images, Hongquan Zuo, Jun Zhang, Univ. of Wisconsin-Milwaukee (USA) . . . . . [10133-57]

4:30 pm: Chromaticity based smoke removal in endoscopic images, Kevin Tchaka, Danail Stoyanov, Vijay M. Pawar, Univ. College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10133-58]

CONFERENCE 10133

CO

NFE

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CONFERENCE 10134Monday–Thursday 13–16 February 2017 • Proceedings of SPIE Vol. 10134

Computer-Aided DiagnosisConference Chairs: Samuel G. Armato III, The Univ. of Chicago (USA); Nicholas A. Petrick, U.S. Food and Drug Administration (USA)

Program Committee: Susan M. Astley, The Univ. of Manchester (United Kingdom); Stephen Aylward, Kitware, Inc. (USA); Matthew S. Brown, Univ. of California, Los Angeles (USA); Heang-Ping Chan, Univ. of Michigan Health System (USA); Marleen de Bruijne, Erasmus MC (Netherlands); Thomas M. Deserno, RWTH Aachen (Germany); Karen Drukker, The Univ. of Chicago (USA); Catalin Fetita, Télécom SudParis (France); Hiroshi Fujita, Gifu Univ. School of Medicine (Japan); Maryellen L. Giger, The Univ. of Chicago (USA); Hayit Greenspan, Tel Aviv Univ. (Israel); Lubomir M. Hadjiiski, Univ. of Michigan Health System (USA); Horst Karl Hahn, Fraunhofer MEVIS (Germany); Khan M. Iftekharuddin, Old Dominion Univ. (USA); Nico Karssemeijer, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); JongHyo Kim, Seoul National Univ. Hospital (Korea, Republic of); Marius George Linguraru, Children’s National Medical Ctr. (USA); Fabrice Meriaudeau, Univ. Teknologi Petronas (Malaysia); Kensaku Mori, Nagoya Univ. (Japan); Janne J. Näppi, Massachusetts General Hospital (USA), Harvard Medical School (USA); Noboru Niki, Univ. of Tokushima (Japan); Carol L. Novak, Siemens Corp., Corporate Technology (USA); Clarisa I. Sánchez, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Ronald M. Summers, National Institutes of Health (USA); Kenji Suzuki, Illinois Institute of Technology (USA); Georgia D. Tourassi, Oak Ridge National Lab. (USA); Bram van Ginneken, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Eva M. van Rikxoort, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Rafael Wiemker, Philips Research (Germany); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA); Xiaofeng Yang, Emory Univ. (USA); Hiroyuki Yoshida, Massachusetts General Hospital (USA), Harvard Medical School (USA)


LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

PelvisSession Chair: Heang-Ping Chan,

Univ. of Michigan Health System (USA)

8:00 am: Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography, Marshall Gordon, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Univ. of Michigan Health System (USA) . . . . . . . . . . . . . [10134-1]

8:20 am: Computer-aided detection of bladder masses in CT urography, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala, Univ. of Michigan (USA) . . . . [10134-2]

8:40 am: Bladder cancer treatment response assessment using deep learning in CT with transfer learning, Kenny H. Cha, Univ. of Michigan (USA); Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Univ. of Michigan Health System (USA); Alon Z. Weizer, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . [10134-3]

9:00 am: Deep learning based convolutional neural network architecture for prostate cancer detection on multiparametric MR images, Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Baris I. Turkbey, Jintae Kwak, Bradford J. Wood, Peter A. Pinto, Ronald M. Summers, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-4]

9:20 am: Quantification of oxygen changes in the placenta from BOLD MR image sequences, Antonio R. Porras, Children’s National Health System (USA); Gemma Piella, Univ. Pompeu Fabra (Spain); Wonsang You, Catherine Limperopoulos, Children’s National Health System (USA); Marius G. Linguraru, Children’s National Health System (USA) and George Washington Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-5]


SESSION 2LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

Lung ISession Chairs: Georgia D. Tourassi, Oak Ridge National Lab. (USA);

Hayit Greenspan, Tel Aviv Univ. (Israel)

10:10 am: Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping, Sebastian R. Tarando, Télécom SudParis (France); Pierre-Yves Brillet, Hôpital Avicenne, Hôpitaux Universitaires Paris Seine-Saint-Denis (France); Catalin Fetita, Télécom SudParis (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-6]

10:30 am: Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution, Yiting Xie, Cornell Univ. (USA); Mary Salvatore, Icahn School of Medicine at Mount Sinai (USA); Shuang Liu, Cornell Univ. (USA); Artit C. Jirapatnakul, David F. Yankelevitz, Claudia I. Henschke, Icahn School of Medicine at Mount Sinai (USA); Anthony P. Reeves, Cornell Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-7]

10:50 am: 3D convolutional neural network for automatic detection of lung nodules in chest CT, Sardar Hamidian, The George Washington Univ. (USA); Berkman Sahiner, Nicholas A. Petrick, Aria X. Pezeshk, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-8]

11:10 am: Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features, Ling Fu, Jingchen Ma, Yacheng Ren, Shanghai Jiao Tong Univ. (China); Youn Seon Han, Johns Hopkins Univ. (USA); Jun Zhao, Shanghai Jiao Tong Univ. (China) . . . . . . . . . . . . [10134-9]

11:30 am: The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans, Nastaran Emaminejad, Univ. of California, Los Angeles (USA); Pechin Lo, Intuitive Surgical, Inc. (USA); Shahnaz Ghahremani, Hyun J. G. Kim, Matthew S. Brown, Michael F. McNitt-Gray, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-10]

11:50 am: Lung lesion detection in FDG-PET/CT with Gaussian process regression, Ryosuke Kamesawa, Issei Sato, The Univ. of Tokyo (Japan); Shouhei Hanaoka, Yukihiro Nomura, Mitsutaka Nemoto, Naoto Hayashi, The Univ. of Tokyo Hospital (Japan); Masashi Sugiyama, The Univ. of Tokyo (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-11]


SESSION 3LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . MON 1:20 PM TO 3:40 PM

Colon and GISession Chairs: Kenji Suzuki, Illinois Institute of Technology (USA);

Janne J. Näppi, Massachusetts General Hospital (USA)

1:20 pm: Evaluation of image features and classification methods for Barrett’s cancer detection using VLE imaging, Sander R. Klomp, Fons van der Sommen, Technische Univ. Eindhoven (Netherlands); Anne-Fré Swager, Academisch Medisch Centrum (Netherlands); Svitlana Zinger, Technische Univ. Eindhoven (Netherlands); Wouter L. Curvers, Catharina Hospital (Netherlands) and Academisch Medisch Centrum (Netherlands); Erik J. Schoon, Catharina Hospital (Netherlands); Jacques J. Bergman, Academisch Medisch Centrum (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands) . . . . . . [10134-12]

1:40 pm: Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography, Rie Tachibana, Institute of National Colleges of Technology, Oshima College (Japan) and Massachusetts General Hospital (USA); Janne J. Näppi, Toru Hironaka, Massachusetts General Hospital (USA); Se Hyung Kim, Seoul National Univ. Hospital (Korea, Republic of); Hiroyuki Yoshida, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . [10134-13]

2:00 pm: Fully convolutional neural networks for polyp segmentation in colonoscopy, Patrick Brandao, Evangelos Mazomenos, Univ. College London (United Kingdom); Gastone Ciuti, Federico Bianchi, Arianna Menciassi, Paolo Dario, Scuola Superiore Sant’Anna (Italy); Anastasios Koulaouzidis, The Royal Infirmary of Edinburgh, NHS Lothian (United Kingdom); Alberto Arezzo, Univ. degli Studi di Torino (Italy); Danail Stoyanov, Univ. College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-14]


2:20 pm: Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography, Kensuke Umehara, Graduate School of Medicine, Osaka Univ. (Japan); Janne J. Näppi, Massachusetts General Hospital, Harvard Medical School (USA); Toru Hironaka, Massachusetts General Hospital (USA); Daniele Regge, Istituto per la Ricerca sul Cancro e la Cura, Fondazione Piemontese per la Ricerca sul Cancro ONLUS (Italy); Takayuki Ishida, Graduate School of Medicine, Osaka Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . [10134-15]

2:40 pm: Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography, Janne J. Näppi, Massachusetts General Hospital (USA); Perry J. Pickhardt, David H. Kim, Univ. of Wisconsin-Madison (USA); Toru Hironaka, Hiroyuki Yoshida, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-16]

3:00 pm: A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps, Harmanpreet Singh, Stony Brook Univ. (USA); Lihong C. Li, College of Staten Island, The City Univ. of New York (USA); Marc J. Pomeroy, Stony Brook Univ. (USA); Perry J. Pickhardt, Univ. of Wisconsin School of Medicine and Public Health (USA); Matthew A. Barish, Donald P. Harrington, Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-17]

3:20 pm: Computer-assisted optical biopsy for colorectal polyps, Fernando Navarro, Diana Mateus, Yadira Saint Hill Febles, Janis Renner, Peter Klare, Stefan von Delius, Nassir Navab, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-18]










LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . TUE 8:00 AM TO 9:40 AM

CardiacSession Chair: Thomas Martin Deserno,

Uniklinik RWTH Aachen (Germany)

8:00 am: Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images, Ahmed Dallal, Univ. of Pittsburgh (USA); Chirag Agarwal, Univ. of Illinois at Chicago (USA) and Geisinger Health Systems (USA); Mohammad R. Arbabshirani, Aalpen Patel, Gregory Moore, Geisinger Health Systems (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-19]

8:20 am: Coronary artery calcification identification and labeling in low-dose chest CT images, Yiting Xie, Shuang Liu, Cornell Univ. (USA); Albert Miller, Queens College, City Univ. of New York (USA); Jeffrey A. Miller, Rutgers New Jersey Medical School, Rutgers Univ. (USA); Ali Akhund, Queens College, City Univ. of New York (USA); Anthony P. Reeves, Cornell Univ. (USA) . . . . [10134-20]

8:40 am: Coronary artery calcification (CAC) classification with deep convolutional neural networks, Xiaoming Liu, Sichuan Provincial People’s Hospital (China); Shice Wang, Yufeng Deng, Kuan Chen, Infervision (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-21]

9:00 am: Automatic extraction of disease-specific features from Doppler images, Mohammadreza Negahdar, Mehdi Moradi, IBM Research - Almaden (USA); Nripesh Parajuli, Yale Univ. (USA); Tanveer F. Syeda-Mahmood, IBM Research - Almaden (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-22]

9:20 am: Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients, Guang Yang, National Heart and Lung Institute, Imperial College London (United Kingdom); Xiahai Zhuang, Shanghai Jiao Tong Univ. (China); Habib Khan, Shouvik Haldar, Eva Nyktari, National Heart and Lung Institute, Imperial College London (United Kingdom); Lei Li, Shanghai Jiao Tong Univ. (China); Xujiong Ye, Univ. of Lincoln (United Kingdom); Greg Slabaugh, City Univ. London (United Kingdom); Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin, National Heart and Lung Institute, Imperial College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-23]


SESSION 5LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . TUE 10:10 AM TO 12:10 PM

Breast ISession Chairs: Hiroshi Fujita, Gifu Univ. School of Medicine (Japan);

Susan M. Astley, The Univ. of Manchester (United Kingdom)

10:10 am: Radiomic modeling of BI-RADS density categories, Jun Wei, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Lubomir M. Hadjiiski, Univ. of Michigan Health System (USA) . . . . . . . . [10134-24]

10:30 am: Feature extraction using convolutional neural network for classifying breast density in mammographic images, Ricardo L. Thomaz, Pedro C. Carneiro, Ana C. Patrocinio, Univ. Federal de Uberlândia (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-25]

10:50 am: Fully automated breast density assessment from low-dose chest CT, Shuang Liu, Cornell Univ. (USA); Laurie Margolies, Mount Sinai School of Medicine (USA); Yiting Xie, Cornell Univ. (USA); David F. Yankelevitz, Claudia I. Henschke, Icahn School of Medicine at Mount Sinai (USA); Anthony P. Reeves, Cornell Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-26]

11:10 am: Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk, Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Univ. of Pennsylvania (USA); Emily F. Conant, The Univ. of Pennsylvania (USA); Despina Kontos, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . [10134-27]

11:30 am: Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Univ. of Michigan Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-28]

11:50 am: Computer-aided theragnosis using quantitative ultrasound methods and convolutional neural networks, Mehrdad J. Gangeh, Univ. of Toronto (Canada); Peng Chen, Sunnybrook Health Sciences Ctr., Univ. of Toronto (Canada); Gregory J. Czarnota, Univ. of Toronto (Canada) . . . . . . . . . . [10134-29]




SESSION 6LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . . TUE 1:20 PM TO 3:00 PM

Liver and AbdomenSession Chairs: Carol L. Novak, Siemens Corp., Corporate Technology

(USA); Kensaku Mori, Nagoya Univ. (Japan)

1:20 pm: Superpixel-based classification of gastric chromoendoscopy images, Enrico Grisan, Univ. degli Studi di Padova (Italy); Davide Boschetto, Univ. degli Studi di Padova (Italy) and IMT School for Advanced Studies Lucca (Italy) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-30]

1:40 pm: Quantification of CT images for the classification of high- and low-risk pancreatic cysts, Lior Gazit, Jayasree Chakraborty, Marc Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. Do, Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . [10134-31]

2:00 pm: Automated liver elasticity calculation for 3D MRE, Bogdan Dzyubak, Kevin J. Glaser, Armando Manduca, Richard L. Ehman, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-32]

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2:20 pm: Impact of CT iterative reconstruction algorithms on volume estimation of liver lesions in a non-uniform background: a phantom study, Qin Li, Benjamin P. Berman, U.S. Food and Drug Administration (USA); Justin Schumacher, Univ. of Rochester (USA); Yongguang Liang, Columbia Univ. Medical Ctr. (USA); Marios A. Gavrielides, U.S. Food and Drug Administration (USA); Hao Yang, Binsheng Zhao, Columbia Univ. Medical Ctr. (USA); Nicholas A. Petrick, U.S. Food and Drug Administration (USA) . . . . . . . [10134-33]

2:40 pm: Preoperative assessment of microvascular invasion in hepatocellular carcinoma, Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. Do, Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . [10134-34]


SESSION 7LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . .TUE 3:30 PM TO 4:50 PM

Musculoskeletal and DermatologySession Chairs: Nicholas A. Petrick,

U.S. Food and Drug Administration (USA) ; Hiroyuki Yoshida, Massachusetts General Hospital (USA)

3:30 pm: Combination of lateral and PA view radiographs to study development of knee OA and associated pain, Luca Minciullo, Jessie Thomson, Timothy F. Cootes, The Univ. of Manchester (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-35]

3:50 pm: Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks, Botao Deng, Univ. of Rochester (USA); Anas Z. Abidin, Univ. of Rochester Medical Ctr. (USA); Adora M. DSouza, Mahesh B. Nagarajan, Univ. of Rochester (USA); Paola Coan, ESRF - The European Synchrotron (France) and Ludwig-Maximilians-Univ. München (Germany); Axel Wismüller, Univ. of Rochester (USA) and Ludwig-Maximilians-Univ. München (Germany) . . [10134-36]

4:10 pm: Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta, Anas Z. Abidin, Univ. of Rochester Medical Ctr. (USA); John R. Jameson, Robert C. Molthen, Marquette Univ. (USA); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) and Ludwig-Maximilians-Univ. München (Germany) . . . . . . . . . . . . . . . . . . . [10134-37]

4:30 pm: Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM), Md. Mahmudur Rahman, Morgan State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-38]

WORKSHOPLOCATION: OCEANS BALLROOM . . . . . . . TUE 5:00 PM TO 7:00 PM

Live DemonstrationsWorkshop Chairs: Dr. Heang-Ping Chan, Univ. of Michigan Health

System, (USA); Dr. Horst Hahn, Fraunhofer MEVIS, (Germany)

The goal of this workshop is to provide a forum for systems and algorithms developers to show off their creations. The intent is for the audience to be inspired to conduct derivative research, for the demonstrators to receive feedback and find new collaborators, and for all to learn about the rapidly evolving field of medical imaging.

The Live Demonstration Workshop invites participation from all of the conferences that comprise the SPIE Medical Imaging Conference. We encourage the CAD, Digital Pathology, Image Processing, Imaging Informatics, Perception, Physics, Visualization, and all other conferences to participate.

This workshop features interactive demonstrations that are complementary to the topics of SPIE Medical Imaging. Workshop demonstrations include samples, systems, and software demonstrations that depict the implementation, operation, and utility of cutting-edge as well as mature research. Having an accepted SPIE Medical Imaging paper is not required for giving a Live Demonstration; however, authors of SPIE Medical Imaging papers are encouraged to submit demonstrations that are complimentary to their oral and poster presentations.

18TH SPIE/IFCARS JOINT WORKSHOPLOCATION: CRYSTAL C . . . . . . . . . . . . . . . . TUE 5:00 PM TO 7:00 PM

Information Management, Systems Integration, Standards, and Approval

Issues the Digital Operating RoomWorkshop Chairs: Leonard Berliner, New York Methodist Hospital, (USA);

Heinz Lemke, Computer Assisted Radiology and Surgery, (Germany)

It has been challenging to put into practice in the Operating Room (OR) many of the new technological and system advances, associated interventional procedures, and in particular, a corresponding redesign of OR infrastructures. An IT Infrastructure for the OR has to be based on DICOM, IHE and a Therapy Imaging and Model Management System (TIMMS) for the storage, integration, processing and transmission of patient specific data, allowing for the adaptation of radiological/imaging workflows to the specifics of surgical workflows.

A PACS-like architecture and its application for the management of image and model guided therapy has been the subject of discussions in the DICOM and IHE standard activities. With the initiation of the new IHE Surgery Domain, this SPIE / IFCARS Joint Workshop focuses on presentations and discussions on topics such as:• The Digital OR infrastructure and IHE Surgery• OR.NET - the German OR-IT integration project• SCOT - the Japanese OR-IT integration project• MD PnP – a USA OR-IT integration project• Viewpoints from industry and bridging the Radiology - Surgery gap• IHE Surgery Planning and Technical Committee Work Tasks• Proposal for IHE Integration Profiles• Approval and certification strategies• Optical Imaging Devices in Medical Applications: Regulatory Perspective

Panelists/Speakers: Yoshihiro Muragaki, Tokyo Women’s Medical Univ. (Japan); Ron Schilling, EchoPixel, Inc. (USA);



LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . WED 8:00 AM TO 9:40 AM

Keynote and Reviewers’ ChoiceSession Chairs: Nicholas A. Petrick, U.S. Food and Drug Administration

(USA); Georgia D. Tourassi, Oak Ridge National Lab. (USA)

8:00 am: FDA’s role in the innovation and evaluation of evolving CAD solutions (Keynote Presentation), Kyle J. Myers, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-39]

9:00 am: Organ detection in thorax abdomen CT using multi-label convolutional neural networks, Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Radboud Univ. Medical Ctr. (Netherlands); Bram van Ginneken, Radboud Univ. Medical Ctr. (Netherlands) and Fraunhofer MEVIS, Fraunhofer-Gesellschaft (Germany); Colin Jacobs, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-40]

9:20 am: Mammographic phenotypes of breast cancer risk driven by breast anatomy, Aimilia Gastounioti, Andrew Oustimov, Lauren Pantalone, Univ. of Pennsylvania (USA); Emily F. Conant, The Univ. of Pennsylvania (USA); Despina Kontos, Meng-Kang Hsieh, Univ. of Pennsylvania (USA) . . . . . . . . . . . . [10134-41]


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SESSION 9LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . .WED 10:10 AM TO 12:10 PM

VesselsSession Chairs: Catalin Fetita, Télécom SudParis (France);

Marleen de Bruijne, Erasmus MC (Netherlands)

10:10 am: Validation of an image registration and segmentation method on ECG-gated CT data of a physical dynamic stent graft model, Maaike Koenrades, Univ. of Twente (Netherlands) and Medisch Spectrum Twente (Netherlands); Almar Klein, Ella Struijs, Univ. Twente (Netherlands); Robert Geelkerken, Medisch Spectrum Twente (Netherlands); Cornelis H. Slump, Univ. Twente (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-42]

10:30 am: Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasia, Catalin Fetita, Télécom SudParis (France); Thierry Fortemps de Loneux, Mostafa El Hajjam, Hospital Ambroise Paré, Hôpitaux Universitaires Paris Ile-de-France Ouest (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-43]

10:50 am: Pelvic artery calcification detection on CT scans using convolutional neural networks, Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers, National Institutes of Health (USA) . . . . . [10134-44]

11:10 am: Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain, Renzo Phellan, Univ. of Calgary (Canada); Thomas Lindner, Univ. of Kiel (Germany); Alexandre X. Falcão, Univ. Estadual de Campinas (Brazil); Nils Daniel Forkert, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-45]

11:30 am: Computer-assisted measurement increases the precision and accuracy of intracranial aneurysm morphology analysis, Hamidreza Rajabzadeh-Oghaz, Nicole Varble, Jason M. Davies, Ashkan Mowla, Hakeem J. Shakir, Ashish Sonig, Univ. at Buffalo (USA); Kenneth V. Snyder, Elad I. Levy, Univ. at Buffalo (USA); Adnan H. Siddiqui, Hui Meng, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-46]

11:50 am: Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes, Hirohisa Oda, Nagoya Univ. (Japan); Kanwal Bhatia, King’s College London (United Kingdom); Masahiro Oda, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Shingo Iwano, Nagoya Univ. Graduate School of Medicine (Japan); Hirotoshi Homma, Sapporo-Kosei General Hospital (Japan); Hirotsugu Takabatake, Minami Sanjyo Hospital (Japan); Masaki Mori, Sapporo-Kosei General Hospital (Japan); Hiroshi Natori, Keiwakai Nishioka Hospital (Japan); Julia A. Schnabel, King’s College London (United Kingdom); Kensaku Mori, Information & Communications, Nagoya Univ. (Japan) and Graduate School of Information Science, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-47]


SESSION 10LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . WED 1:20 PM TO 3:00 PM

PROSTATEx ChallengeSession Chairs: Samuel G. Armato, The Univ. of Chicago (USA); Karen

Drukker, The Univ. of Chicago (USA)

The two top-performing participants will present their methods during this session.


SESSION 11LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . WED 3:30 PM TO 5:30 PM

Breast IISession Chairs: Maryellen L. Giger, The Univ. of Chicago (USA); Nico Karssemeijer, Radboud Univ. Medical Ctr. (Netherlands)

3:30 pm: Conditional random field modeling of interactions between findings in mammography, Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-48]

3:50 pm: Deep learning and three-compartment breast imaging in breast cancer diagnosis, Karen Drukker, Benjamin Q. Huynh, Maryellen L. Giger, The Univ. of Chicago (USA); Serghei Malkov, Jesus I. Avila, Bo Fan, Bonnie Joe, Karla Kerlikowske, Univ. of California, San Francisco (USA); Jennifer S. Drukteinis, H. Lee Moffitt Cancer Ctr. & Research Institute (USA); Leila Kazemi, Univ. of California, San Francisco (USA); Malesa M. Pereira, H. Lee Moffitt Cancer Ctr. & Research Institute (USA); John A. Shepherd, Univ. of California, San Francisco (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-49]

4:10 pm: Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRIs, Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-50]

4:30 pm: Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches, Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Hashoul, IBM Research - Haifa (Israel) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-51]

4:50 pm: Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Duke Univ. (USA); Jeffrey Marks, Lorraine King, Duke Univ. (USA); Carlo C. Maley, Arizona State Univ. (USA); Shelley Hwang, Joseph Y. Lo, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-52]

5:10 pm: Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses, Nico Karssemeijer, Thijs Kooi, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-53]




BrainAnalysis of 18F-DMFP-PET data using hidden Markov random field and Gaussian mixtures to assist the diagnosis of Parkinsonism, Fermin Segovia Roman, Diego Salas González, Juan Manuel Górriz Sáez, Javier Ramírez Pérez de Inestrosa, Francisco Jesús Martínez Murcia, Univ. de Granada (Spain) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-76]

Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT images, Noriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Research Institute for Brain and Blood Vessels-Akita (Japan); Eri Matsuyama, Teikyo Univ. (Japan); Hideto Toyoshima, Research Institute for Brain and Blood Vessels-Akita (Japan) . . . . . . . . [10134-77]

Case-based statistical learning applied to SPECT image classification, Juan Manuel Górriz Sáez, Univ. de Granada (Spain) . . . . . . . . . . . . . . . [10134-78]

Fine-tuning convolutional deep features for MRI-based brain tumor classification, Kaoutar Ben Ahmed, Univ. Abdelmalek Essaadi (Morocco); Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Renhao Liu, Univ. of South Florida (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-79]

Application of probabilistically-weighted graphs to image-based diagnosis of Alzheimer’s disease using diffusion MRI, Oleg V. Michailovich, Syeda Maryam, Laura McCrackin, Mark Crowley, Univ. of Waterloo (Canada); Yogesh Rathi, Harvard Medical School, Harvard Univ. (USA); Aristotle Voineskos, Ctr. for Addiction and Mental Health, Univ. of Toronto (Canada) . . . . . . . . . . . . [10134-80]

Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury, Krishna Nand Keshavamurthy, Owen Leary, Brown Univ. (USA); Lisa H. Merck, Rhode Island Hospital, Brown Univ. (USA); Benjamin B. Kimia, Brown Univ. (USA); Scott A. Collins, Rhode Island Hospital, Brown Univ. (USA); David W. Wright, Jason W. Allen, Emory Univ. Hospital (USA); Derek Merck, Rhode Island Hospital, Brown Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-81]

Automatic classification of patients with idiopathic Parkinson’s disease and progressive supranuclear palsy using diffusion MRI datasets, Sahand Talai, Univ. of Calgary (Canada); Kai Boelmans, Universitätsklinikum Würzburg (Germany); Jan Sedlacik, Univ. Medical Ctr. Hamburg-Eppendorf (Germany); Nils Daniel Forkert, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . . . [10134-82]

Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme, Kevin P. Gaffney, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-83]

Identifying prognostic imaging biomarkers by extracting high-risk volumes of glioblastoma on multi-parametric MRI, Shangjie Ren, Yi Cui, Jia Wu, Stanford Univ. (USA); Khin Khin Tha, Hokkaido Univ. (Japan); Ruijiang Li, Stanford Univ. School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10134-84]

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Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks, Mohammadhassan IzadyYazdanabadi, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Ctr. (USA) and Arizona State Univ. (USA); Evgenii Belykh, Barrow Neurological Institute (USA); Nikolay L. Martirosyan, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Ctr. (USA); Jennifer Eschbacher, Peter Nakaji, Barrow Neurological Institute (USA); Mark C. Preul, Barrow Neurological Institute, St. Joseph’s Hospital and Medical Ctr. (USA). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-85]

Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning, Javier Villafruela, Sebastian Crites, Univ. of Calgary (Canada); Bastian Cheng, Christian Knaack, Götz Thomalla, Univ. Medical Ctr. Hamburg-Eppendorf (Germany); Bijoy K. Menon, Nils Daniel Forkert, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-86]

Deep learning for segmentation of brain tumors: Can we train with images from different institutions?, David Paredes, Ashirbani Saha, Maciej A. Mazurowski, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-88]

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI, Linmin Pei, Khan M. Iftekharuddin, Syed M. S. Reza, Wei Li, Old Dominion Univ. (USA); Christos A. Davatzikos, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-89]

BreastAn ensemble-based approach for breast mass classification in mammography images, Patricia B. Ribeiro, João P. Papa, Univ. Estadual Paulista “Júlio de Mesquita Filho” (Brazil); Roseli A. F. Romero, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-90]

Neutrosophic segmentation of breast lesions for designated breast CT, Juhun Lee, Robert M. Nishikawa, Univ. of Pittsburgh (USA); Ingrid S. Reiser, The Univ. of Chicago (USA); John M. Boone, UC Davis Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-91]

A novel deep learning-based approach to high-accuracy breast density estimation in digital mammography, Chul Kyun Ahn, Changyong Heo, Hyeong Min Jin, Seoul National Univ. (Korea, Republic of); JongHyo Kim, Seoul National Univ. (Korea, Republic of) and Seoul National Univ. Hospital (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-92]

Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone?, Joseph R. Wong Sik Hee, Manchester Medical School, The Univ. of Manchester (United Kingdom); Elaine F. Harkness, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital South Manchester (United Kingdom); Soujanya Gadde, Yit Y. Lim, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Anthony J. Maxwell, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and The Univ. of Manchester (United Kingdom); D. Gareth Evans, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Anthony Howell, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and The Univ. of Manchester (United Kingdom); Susan M. Astley, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-93]

Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN, Xiangrong Zhou, Takuya Kano, Gifu Univ. School of Medicine (Japan); Shuo Li, Western Univ. (Canada); Xinxin Zhou, Nagoya Bunri Univ. (Japan); Takeshi Hara, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . [10134-94]

Automated detection of microcalcification clusters in mammograms, Vikrant A. Karale, Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India); Tulika Singh, Niranjan Khandelwal, Postgraduate Institute of Medical Education & Research, Chandigarh (India); Anup Sadhu, Medical College and Hospital, Kolkata (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-95]

Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network, Yuya Hiramatsu, Chisako Muramatsu, Gifu Univ. School of Medicine (Japan); Hironobu Kobayashi, Nagoya Central Hospital (Japan); Takeshi Hara, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . . . [10134-96]

Agreement between an automatic tool to classify lesions in breast elastography images and radiologists, Karem D. Marcomini, Univ. de São Paulo (Brazil); Eduardo F. C. Fleury, Brazilian Institute for Cancer Control (Brazil); Vilmar M. Oliveira, Santa Casa de São Paulo (Brazil); Antonio O. Carneiro, Univ. of São Paulo (Brazil); Homero Schiabel, Univ. de São Paulo (Brazil); Robert M. Nishikawa, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . [10134-97]

Does mammographic density in women with previous breast cancer predict further breast cancer?, Shuk Yee Choo, The Univ. of Manchester Medical School (United Kingdom); Elaine F. Harkness, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Soujanya Gadde, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Yit Y. Lim, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Ctr. for Imaging Science, School of Health Sciences, The Univ. of Manchester (United Kingdom); Anthony J. Maxwell, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., The Univ. of Manchester (United Kingdom); D. Gareth Evans, Anthony Howell, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., The Univ. of Manchester (United Kingdom) and Manchester Academic Health Science Ctr., The Univ. of Manchester (United Kingdom); Susan M. Astley, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., The Univ. of Manchester (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . [10134-98]

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning, Benjamin Q. Huynh, Natasha Antropova, Maryellen L. Giger, The Univ. of Chicago (USA) . . . . . . . . . . . . . . . . . . . [10134-99]

A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images, Helder C. R. Oliveira, Diego R. Moraes, Adilson Gonzaga, Marcelo A. C. Vieira, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-100]

Using estimated weight to predict breast cancer risk, Kalyani Nair, The Univ. of Manchester Medical School (United Kingdom); Elaine F. Harkness, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Soujanye Gadde, Yit Y. Lim, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Anthony J. Maxwell, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., Christie Hospital (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom); Anthony Howell, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom), Manchester Breast Ctr., Manchester Cancer Research Ctr., Christie Hospital (United Kingdom) and Manchester Academic Health Science Ctr., Univ. Hospital of South Manchester, The Univ. of Manchester (United Kingdom); Adam Brentnall, Jack Cuzick, Wolfson Institute of Preventive Medicine, Queen Mary Univ. of London (United Kingdom); D. Gareth Evans, Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Manchester Academic Health Science Ctr., Univ. Hospital of South Manchester, The Univ. of Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., Christie Hospital (United Kingdom); Susan M. Astley, Ctr. for Imaging Science, The Univ. of Manchester (United Kingdom) and Nightingale Breast Ctr., Genesis Breast Cancer Prevention Ctr., Univ. Hospital of South Manchester (United Kingdom) and Manchester Breast Ctr., Manchester Cancer Research Ctr., Christie Hospital (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-101]

Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval, Qingliang Li, Huamin Yang, Changchun Univ. of Science and Technology (China); Kensaku Mori, Nagoya Univ. (Japan); Zhengang Jiang, Changchun Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-102]

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey Marks, Lorraine King, Duke Univ. (USA); Carlo Maley, Arizona State Univ. (USA); Shelley Hwang, Joseph Y. Lo, Duke Univ. (USA) . . [10134-103]

CardiacMRI myocardium T2* measurement by a new PCA- based object recognition algorithm, Rocco Romano, Univ. degli Studi di Salerno (Italy); Giovanni Babino, Società Italiana di Radiologia Medica (Italy); Fausto Acernese, Gerardo Giordano, Fabrizio Barone, Univ. degli Studi di Salerno (Italy) . . . . . . . . . . . . . . . [10134-104]

Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks, Liset Vazquez Romaguera, Univ. Federal do Amazonas (Brazil); Marly Guimarães Fernandes Costa, Francisco P. Romero, Cícero F. F. Costa Jr., Federal Univ. of Amazonas (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-105]

CONFERENCE 10134


A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images, Fátima L. S. Nunes, Leila C. C. Bergamasco, Univ. de São Paulo (Brazil); Pedro H. Delmondes, Univ. of São Paulo (Brazil); Miguel A. Galarreta-Valverde, Univ. de São Paulo (Brazil); Marcel P. Jackowski II, Univ. of São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-106]

Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population, Douglas P. Perrin, Harvard Medical School, Harvard Univ. (USA) and Boston Children’s Hospital, Harvard Medical School, Harvard Univ. (USA); Alejandra Bueno, Andrea Rodriguez, Gerald R. Marx, Pedro J. Del Nido, Boston Children’s Hospital, Harvard Medical School (USA). . . . . . . . . . . . . . . . . . . . . . . . [10134-107]

Fully automated calculation of cardiothoracic ratio in digital chest radiographs, Lin Cong, Shanghai United Imaging Healthcare Co., Ltd. (China); Luan Jiang, Qiang Li, Shanghai Advanced Research Institute, Chinese Academy of Sciences (China) and Shanghai United Imaging Healthcare Co., Ltd. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-108]

Colon and GIAutomatic grade classification of Barrett’s esophagus through feature enhancement, Noha Ghatwary, Univ. of Lincoln (United Kingdom) and Arab Academy for Science and Technology & Maritime Support (Egypt); Amr Ahmed, Xujiong Ye, Univ. of Lincoln (United Kingdom); Hamid Jalan, Univ. of Malaya (Malaysia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-109]

False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography, Marc J. Pomeroy, Stony Brook Univ. (USA); Lihong C. Li, College of Staten Island, The City Univ. of New York (USA); Hao Han, Stanford Univ. (USA); Perry J. Pickthardt, Univ. of Wisconsin School of Medicine and Public Health (USA); Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-110]

A new framework for detection of initial flat polyp candidates based on a dual level set competition model, Huafeng Wang, North China Univ. of Technology (China); Lihong C. Li, College of Staten Island, The City Univ. of New York (USA); Wanquan Liu, Yuehai Wang, North China Univ. of Technology (China); Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10134-111]

Electronic cleansing for CT colonography using spectral-driven iterative reconstruction, Radin A. Nasirudin, Rie Tachibana, Janne J. Näppi, Hiroyuki Yoshida, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . [10134-112]

EyeDetection of retinal changes from illumination-normalized fundus images using convolutional neural networks, Kedir M. Adal, Technische Univ. Delft (Netherlands); Peter G. Van Etten, Jose P. Martinez, Kenneth Rouwen, The Rotterdam Eye Hospital (Netherlands); Koenraad A. Vermeer, Rotterdam Ophthalmic Institute, The Rotterdam Eye Hospital (Netherlands); Lucas J van Vliet, Technische Univ. Delft (Netherlands) . . . . . . . . . . . . . . . . . . . . . . [10134-113]

Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma, Ryusuke Watanabe, Chisako Muramatsu, Kyoko Ishida, Akira Sawada, Tetsuya Yamamoto, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-114]

Inferring diagnosis and trajectory of wet age-related macular degeneration from OCT imagery of retina, Nastaran Ghadar, John M. Irvine, Stephen J. Duncan, Draper Lab. (USA); David Floyd, Forge Aeronautics (USA); David O’Dowd, Draper Lab. (USA); Kristie Lin, Tom Chang, Retina Institute of California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-115]

Comparison of two different preprocessing steps in detection of optic nerve head in fundus images, Meysam Tavakoli, Indiana Univ.-Purdue Univ. Indianapolis (USA); Mahdieh Nazar, Shahid Beheshti Univ. of Medical Sciences (Iran, Islamic Republic of); Alireza Mehdizadeh, Shiraz Univ. of Medical Sciences (Iran, Islamic Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-116]

Retinal SD-OCT image-based pituitary tumor screening, Min He, Weifang Zhu, Xinjian Chen, Soochow Univ. (China) . . . . . . . . [10134-117]

Head and NeckAging changes of tooth pulp cavity in dental CBCT image, Tatsumasa Fukui, Wataru Nishiyama, Hiroyasu Yoshida, Yukihiro Lida, Akitoshi Katsumata, Asahi Univ. (Japan); Chisako Muramatsu, Gifu Univ. School of Medicine (Japan); Hiroshi Fujita, Gifu Univ. (Japan) . . . . . . . . . . . . . . . [10134-118]

An introductory analysis of digital infrared thermal imaging-guided oral cancer detection using multiresolution rotation-invariant texture features, Manashi Chakraborty, Rahul Das Gupta, Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India); Nishat Anjum, Santanu Patsa, Jay G. Ray, Dr. R. Ahmed Dental College & Hospital, West Bengal Univ. of Health Sciences (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-119]

Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification, Yuma Miki, Chisako Muramatsu, Gifu Univ. School of Medicine (Japan); Tatsuro Hayashi, Media Co., Ltd. (Japan); Xiangrong Zhou, Takeshi Hara, Gifu Univ. School of Medicine (Japan); Akitoshi Katsumata, Asahi Univ. (Japan); Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-120]

Computer-assisted quantification of the skull deformity from 3D head CT images using morphological descriptor and hierarchical classification, Min Jin Lee, Helen Hong, Seoul Women’s Univ. (Korea, Republic of); Kyu Won Shim, Yong Oock Kim, Yonsei Univ. College of Medicine (Korea, Republic of) and Severance Children’s Hospital, Yonsei Univ. Health System (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-121]

Liver and AbdomenApplying a deep learning-based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images, Yunzhi Wang, Yuchen Qiu, The Univ. of Oklahoma (USA); Theresa Thai, Kathleen Moore, The Univ. of Oklahoma Health Sciences Ctr. (USA); Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-122]

An improved method for pancreas segmentation using SLIC superpixels and interactive region merging, Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Fei He, Wei He, Yanfang Li, Fei Yan, Changchun Univ. of Science and Technology (China); Huimao Zhang, The First Hospital of Jilin Univ. (China); Kensaku Mori, Nagoya Univ. (Japan); Zhengang Jiang, Changchun Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-123]

Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients, Elanchezhian Somasundaram, Robert Kaufman, Samuel Brady, St. Jude Children’s Research Hospital (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-124]

Texture analysis of renal masses in multiple MR sequences for prediction of pathology, Uyen N. Hoang, Nathan S. Lay, Ronald M. Summers, Jianhua Yao, Ashkan Malayeri, National Institutes of Health (USA) . . . . . . . . . . . . . . [10134-125]

The effects of TIS and MI on the texture features in ultrasonic fatty liver images, Zhao Yuan, Huazhong Univ. of Science and Technology (China); Xinyao Cheng, Zhongnan Hospital of Wuhan Univ. (China); Mingyue Ding, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . [10134-126]

LungBalance the nodule shape and surroundings: a new multichannel image-based convolutional neural network scheme on lung nodule diagnosis, Wenqing Sun, The Univ. of Texas at El Paso (USA); Bin Zheng, The Univ. of Oklahoma (USA); Wei Qian, The Univ. of Texas at El Paso (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-127]

Automatic lung nodule graph cuts segmentation with deep learning false positive reduction, Wenqing Sun, Xia Huang, Tzu-Liang B. Tseng, Wei Qian, The Univ. of Texas at El Paso (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-128]

Detection of juxta-pleural lung nodules in computed tomography images, Guilherme Aresta, Univ. do Porto (Portugal) and INESC TEC (Portugal); António Cunha, Univ. de Trás-os-Montes e Alto Douro (Portugal) and INESC TEC (Portugal); Aurélio Campilho, Instituto de Engenharia Biomédica, Univ. do Porto (Portugal) and INESC TEC (Portugal) . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-129]

Kernel descriptors for chest x-ray analysis, Gergely G. Orban, Gabor Horvath, Budapest Univ. of Technology and Economics (Hungary) . . . . . . . . . . [10134-130]

A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine, Dong-Hoon Lee, Ye-seul Kim, Sunghoon Choi, Haenghwa Lee, Seungyeon Choi, Yonsei Univ. (Korea, Republic of); Jungwook Shin, Woojin Jang, LISTEM (Korea, Republic of); Hee-Joung Kim, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-131]

Risk prediction of small pulmonary nodules based on novel CT image texture markers, Fangfang Han, Northeastern Univ. (China); Bowen Song, Ocean Univ. of China (China); He Ma, Northeastern Univ. (China); Wei Qian, Northeastern Univ. (China) and College of Engineering, The Univ. of Texas at El Paso (USA); Zhengrong Liang, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10134-132]

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer, Jiangdian Song, Northeastern Univ. (China) and Key Lab. of Molecular Imaging, Chinese Academy of Sciences (China); Weimin Li, West China Hospital, Sichuan Univ. (China); Wenzhao Zhong, Guangdong Lung Cancer Institute, Guangdong Academy of Medical Sciences (China); Jingyun Shi, Shanghai Pulmonary Hospital, Tongji Univ. School of Medicine (China); Di Dong, Key Lab. of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences (China); Zaiyi Liu, Guangdong General Hospital, Guangdong Academy of Medical Sciences (China); Jie Tian, Key Lab. of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . [10134-133]

CONFERENCE 10134

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Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter, Qier Meng, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Masahiro Oda, Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-134]

A study of retrieval accuracy of pulmonary nodules based on external attachment, Ashis K. Dhara, Sudipta Mukhopadhyay, Shrikant A. Mehre, Indian Institute of Technology Kharagpur (India); Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Kumar Garg, Naveen K. Kalra, Postgraduate Institute of Medical Education & Research, Chandigarh (India) . . . . . . . . . . . . . . . . . . . . . . [10134-135]

An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions, Mandar Kale, Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India); Niranjan Khandelwal, Postgraduate Institute of Medical Education & Research, Chandigarh (India); Jatindra Kumar Dash, National Institute of Science and Technology (India); Mandeep Kumar Garg, Naveen Kalra, Nidhi Prabhakar, Postgraduate Institute of Medical Education & Research, Chandigarh (India) . . . . . . . . . . . . . . . [10134-136]

Volume calculation of CT lung lesions based on Halton low-discrepancy sequences, Liansheng Wang, Shusheng Li, Xiamen Univ. (China); Shuo Li, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-137]

Distant failure prediction for early-stage NSCLC by analyzing PET with sparse representation, Hongxia Hao, The Univ. of Texas Southwestern Medical Ctr. (USA) and Xidian Univ. (China); Zhiguo Zhou, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Jing Wang, The Univ. of Texas Southwestern Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-138]

Automatic body region localization, Peirui Bai, Jayaram K. Udupa, Yubing Tong, Univ. of Pennsylvania (USA); Shipeng Xie, Univ. of Pennsylvania (USA); Drew A. Torigian, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . [10134-139]

A new method for predicting CT lung nodule volume measurement performance, Ricardo Avila, Accumetra, LLC (USA); Artit C. Jirapatnakul, Icahn School of Medicine at Mount Sinai (USA); Raja Subramaniam, Mount Sinai School of Medicine (USA); David F. Yankelevitz, Icahn School of Medicine at Mount Sinai (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-140]

Building confidence and credibility into CAD with belief decision trees, Erik Barns, Rachael N. Affenit, Jacob D. Furst, Alexander Rasin, Daniela S. Raicu, College of Computing and Digital Media, DePaul Univ. (USA) . . . . . . . [10134-141]

Musculoskeletal and DermatologyCompression fracture detection on CT, Amir Bar, Lior Wolf, Tel Aviv Univ. (Israel); Orna Bergman-Amitai, Eyal Toledano, Eldad Elnekave, Zebra Medical Vision, Inc. (Israel) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-142]

Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis, Gaia Rizzo, Matteo Tonietto, Marco Castellaro, Univ. degli Studi di Padova (Italy); Alessandro Coran, Veento Institute of Oncology, Istituto di Candiolo - IRCCS (Italy); Bernd Raffeiner, Univ. degli Studi di Padova (Italy) and General Hospital of Bolzano (Italy); Ugo Fiocco, Roberto Stramare, Enrico Grisan, Univ. degli Studi di Padova (Italy) . . [10134-143]

Automated analysis of whole skeletal muscle for early differential diagnosis of ALS in whole-body CT images: preliminary study, Naoki Kamiya, Aichi Prefectural Univ. (Japan); Kosuke Ieda, Xiangrong Zhou, Megumi Yamada, Hiroki Kato, Chisako Muramatsu, Takeshi Hara, Gifu Univ. School of Medicine (Japan); Toshiharu Miyoshi, Radiology Service, Gifu Univ. School of Medicine (Japan); Takashi Inuzuka, Masayuki Matsuo, Hiroshi Fujita, Gifu Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-144]

Automated grading of lumbar disc degeneration via supervised distance metric learning, Xiaoxu He, Shuo Li, Western Univ. (Canada) . . . . . . [10134-145]

Individual bone structure segmentation and labeling from low-dose chest CT, Shuang Liu, Yiting Xie, Anthony P. Reeves, Cornell Univ. (USA) . . [10134-146]

Can multivariate models based on MOAKS predict OA knee pain?: data from the Osteoarthritis Initiative, Carlos D. Luna Gomez, Instituto Tecnológico de Celaya (Mexico); Laura A. Zanella, Univ. Autónoma de San Luis Potosí (Mexico); Jorge I. Galván-Tejada, Carlos E. Galván, José M. Celaya-Padilla, Univ. Autónoma de Zacatecas (Mexico) . . . . . . . . . . . . . . . . . . . . . . . . [10134-147]

Automatic lumbar spine measurement in CT images, Yunxiang Mao, Missouri Univ. of Science and Technology (USA); Dong Zheng, No. 306 Hospital of the People’s Liberation Army (PLA) (China); Shu Liao, Siemens Healthineers (USA); Zhigang Peng, Siemens Healthineers (USA); Ruyi Yan, Junhua Liu, Zhongxing Dong, Liyan Gong, No. 306 Hospital of the People’s Liberation Army (PLA) (China); Xiang Sean Zhou, Yiqiang Zhan, Siemens Healthineers (USA); Jun Fei, No. 306 Hospital of the People’s Liberation Army (PLA) (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-148]

Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching, Mona Sharifi Sarabi, The Univ. of Southern California (USA); Diane Villaroma, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj K. Gaonkar, Luke Macyszyn, Univ. of California, Los Angeles (USA); Cauligi Raghavendra, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-149]

Automatic segmentation of lumbar vertebrae in CT images, Amruta Kulkarni, Mona Sharifi Sarabi, Akshita Raina, The Univ. of Southern California (USA); Christine S. Ahn, Diana Babayan, Bilwaj K. Gaonkar, Luke Macyszyn, Univ. of California, Los Angeles (USA); Cauligi Raghavendra, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . [10134-150]

PelvisApplying radiomics approach for predicting tumor response to chemotherapy at early stage: an initial study for ovarian cancer patients, Gopichandh Danala, Yunzhi Wang, The Univ. of Oklahoma (USA); Samuel Cheng, The Univ. of Oklahoma - Tulsa (USA); Hong Liu, Bin Zheng, Yuchen Qiu, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-151]

Prostate lesion detection and localization based on locality alignment discriminant analysis, Mingquan Lin, Weifu Chen, Mingbo Zhao, City Univ. of Hong Kong (Hong Kong, China); Eli D. Gibson, Western Univ. (Canada); Matthew Bastian-Jordan, Derek W. Cool, Western Univ. (Canada); Zahra Kassam, Western Univ. (Canada); Tommy W. S. Chow, City Univ. of Hong Kong (Hong Kong, China); Aaron D. Ward, Western Univ. (Canada); Bernard C. Y. Chiu, City Univ. of Hong Kong (Hong Kong, China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-152]

VesselsComparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention, Anthony J. Winder, Univ. of Calgary (Canada); Susanne Siemonsen, Fabian Flottmann, Jens Fiehler, Univ. Medical Ctr. Hamburg-Eppendorf (Germany); Nils Daniel Forkert, Univ. of Calgary (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-153]

A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast-enhanced CT, Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada, Gen Iinuma, The Univ. of Tokushima (Japan) . . [10134-154]

Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models, Carmina D. L. Nascimento, Cícero F. F. Costa Filho, Marly G. F. Costa, Univ. Federal do Amazonas (Brazil); Marco A. Gutierrez, The Heart Institute, Univ. of São Paulo (Brazil); Maysa M. G. Macedo, Heart Institute, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . [10134-155]

Evaluation of a processing scheme for calcified atheromatous carotid artery detection in face/neck CBCT images, Bruno R. Matheus, Bruna S. Centurion, Izabel R. F. Rubira-Bullen, Homero Schiabel, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-156]


LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . .THU 8:00 AM TO 9:40 AM

EyeSession Chairs: Fabrice Mériaudeau, Univ. Teknologi Petronas

(Malaysia); Marius G. Linguraru, Children’s National Medical Ctr. (USA)

8:00 am: Estimation of retinal vessel caliber using model fitting and random forests, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho, Instituto de Engenharia Biomédica, Univ. do Porto (Portugal) and INESC TEC (Portugal) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-54]

8:20 am: Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs, Ana Maria Mendonça, Univ. do Porto (Portugal) and INESC TEC (Portugal); Beatriz Remeseiro, INESC TEC (Portugal); Behdad Dashtbozorg, Technische Univ. Eindhoven (Netherlands); Aurélio Campilho, Univ. do Porto (Portugal) and INESC TEC (Portugal) . . . . . . . [10134-55]

8:40 am: Automatic detection of diabetic retinopathy features in ultra-wide field retinal images, Anastasia Levenkova, The Univ. of New South Wales (Australia); Arcot Sowmya, The Univ. of New South Wales (Australia); Michael Kalloniatis, Angelica Ly, Ctr. for Eye Health Ltd., Univ. of New South Wales (Australia); Arthur Ho, Brien Holden Vision Institute (Australia) . . . . . . . . [10134-56]

9:00 am: Retinal health information and notification system (RHINO), Behdad Dasht Bozorg, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Technische Univ. Eindhoven (Netherlands); Bart M. ter Haar Romeny, Technische Univ. Eindhoven (Netherlands) and Sino-Dutch Biomedical and Information Engineering School, Northeastern Univ. (China) . . . . . . . . . . . . . . . . . . . [10134-57]

9:20 am: Joint deep shape and appearance learning: application to optic pathway glioma segmentation, Awais Mansoor, Ien Li, Roger J. Packer, Robert A. Avery, Marius G. Linguraru, Children’s National Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-58]


CONFERENCE 10134


SESSION 13LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . THU 10:10 AM TO 12:10 PM

BrainSession Chairs: Khan M. Iftekharuddin, Old Dominion Univ. (USA);

Stephen Aylward, Kitware, Inc. (USA)

10:10 am: Multi-threshold white matter structural networks fusion for accurate diagnosis of early Tourette Syndrome children, Hongwei Wen, Institute of Automation, Chinese Academy of Sciences (China); Yue Liu, Beijing Children’s Hospital, Capital Medical Univ. (China); Shengpei Wang, Institute of Automation, Chinese Academy of Sciences (China); Jishui Zhang, Yun Peng, Beijing Children’s Hospital, Capital Medical Univ. (China); Huiguang He, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . [10134-59]

10:30 am: Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients, Nathan Olliverre, Muhammad Asad, City Univ. London (United Kingdom); Guang Yang, Royal Brompton Hospital, Royal Brompton & Harefield NHS Foundation Trust (United Kingdom) and Imperial College London (United Kingdom) and St. George’s Univ. of London (United Kingdom); Franklyn Howe, St. George’s Univ. of London (United Kingdom); Gregory Slabaugh, City Univ. London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-60]

10:50 am: IDH mutant status assessment of glioma using three-dimensional texture features of multimodal MR images, Xi Zhang, Fourth Military Medical Univ. (China); Qiang Tian, Tangdu Hospital, Fourth Military Medical Univ. (China); Yixiong Liu, Xijing Hospital, Fourth Military Medical Univ. (China); Baojuan Li, Fourth Military Medical Univ. (China) and Massachusetts General Hospital, Harvard Medical School (USA); Linfeng Yan, Tangdu Hospital, Fourth Military Medical Univ. (China); Yang Liu, Fourth Military Medical Univ. (China); Haiyan Nan, Tangdu Hospital, Fourth Military Medical Univ. (China); Xiaopan Xu, Fourth Military Medical Univ. (China); Wen Wang, Guangbin Cui, Tangdu Hospital, Fourth Military Medical Univ. (China); Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-61]

11:10 am: Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics, Maciej A. Mazurowski, Kal L. Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-62]

11:30 am: Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma, Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Pallavi Tiwari, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . [10134-63]

11:50 am: Effective user guidance in an online interactive semantic segmentation, Jens Petersen, Deutsches Krebsforschungszentrum (Germany) and Heidelberg Univ. Hospital (Germany); Martin Bendszus, Heidelberg Univ. Hospital (Germany); Jürgen Debus, Heidelberg Univ. Hospital (Germany) and Deutsches Krebsforschungszentrum (Germany); Sabine Heiland, Heidelberg Univ. Hospital (Germany); Klaus H. Maier-Hein, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-64]

POSTER AWARD ANNOUNCEMENTS LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . 12:10 PM TO 12:15 PM

The Computer-Aided Diagnosis conference poster award recipients will be recognized and certificates distributed.


SESSION 14LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . .THU 1:20 PM TO 3:00 PM

Head and NeckSession Chairs: Lubomir M. Hadjiyski, Univ. of Michigan Health System

(USA); Xiaofeng Yang, Emory Univ. (USA)

1:20 pm: Cephalometric landmark detection in dental x-ray images using convolutional neural networks, Hansang Lee, Minseok Park, Junmo Kim, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-65]

1:40 pm: Autoscope: otoscopy image analysis to diagnose ear pathology: use of clinically motivated eardrum features, Caglar Senaras, Aaron C. Moberly, Ted Teknos, Garth Essig, Charles Elmaraghy, Nazhat Taj-Schaal, Lianbo Yu, The Ohio State Univ. (USA); Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-66]

2:00 pm: Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification, Mirek Janatka, Univ. College London (United Kingdom); Krishan S. Ramdoo, Northwick Park Hospital, The North West London Hospitals NHS Trust (United Kingdom); Taran Tatla, Northwich Park Hospital, The North West London Hospitals NHS Trust (United Kingdom); Krittin Pachtrachai, Univ. College London (United Kingdom); Daniel S. Elson, Imperial College London (United Kingdom); Danail Stoyanov, Univ. College London (United Kingdom) . . . . . . . . . . . [10134-67]

2:20 pm: Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer, Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei, Chuan Zhou, Mark Prince, Silvana Papagerakis, Univ. of Michigan Health System (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-68]

2:40 pm: Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network, Ajay Patel, Sil van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing, Radboud Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-69]


SESSION 15LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . . . . . .THU 3:30 PM TO 5:30 PM

Lung IISession Chairs: Samuel G. Armato, The Univ. of Chicago (USA);

Rafael Wiemker, Philips Research (Germany)

3:30 pm: Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data, Rafael Wiemker, Philips Research (Germany); Sandeep Dalal, Philips Research (USA); Merlijn Sevenster, Amir M. Tahmasebi, Philips Research North America (USA); Tobias Klinder, Philips Research (Germany) . . . . . . . . . . . . . . . . [10134-70]

3:50 pm: Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules, Chuan Zhou, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Aamer R. Chughtai, Ella A. Kazerooni, Univ. of Michigan Health System (USA) . . [10134-71]

4:10 pm: Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches, Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-72]

4:30 pm: Lung nodule malignancy prediction using multi-task convolutional neural network, Xiuli Li, IBM Research - China (China); Yueying Kao, Institute of Automation, Chinese Academy of Sciences (China); Wei Shen, Fujitsu Research and Development Ctr. Co., Ltd. (China); Xiang Li, Guotong Xie, IBM Research - China (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10134-73]

4:50 pm: Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset, Matthew C. Hancock, Jerry F. Magnan, Florida State Univ. (USA) . . . . . [10134-74]

5:10 pm: Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes, Dongdong Yu, Di Dong, Institute of Automation, Chinese Academy of Sciences (China); Mu Zhou, Olivier Gevaert, Stanford Ctr. for Biomedical Informatics Research, Stanford Univ. (USA); Jingyun Shi, Shanghai Pulmonary Hospital, Tongji Univ. School of Medicine (China); Jie Tian, Institute of Automation, Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . [10134-75]

CONFERENCE 10134

CO

NFE

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CONFERENCE 10135Tuesday–Thursday 14–16 February 2017 • Proceedings of SPIE Vol. 10135

Image-Guided Procedures, Robotic Interventions, and ModelingConference Chairs: Robert J. Webster III, Vanderbilt Univ. (USA); Baowei Fei, Emory Univ. (USA)

Program Committee: Purang Abolmaesumi, The Univ. of British Columbia (Canada); Wolfgang Birkfellner, Medizinische Univ. Wien (Austria); Sandrine de Ribaupierre, Western Univ. (Canada); Gabor Fichtinger, Queen’s Univ. (Canada); George J. Grevera, Saint Joseph’s Univ. (USA); David Hawkes, Univ. College London (United Kingdom); David R. Haynor, Univ. of Washington (USA); William E. Higgins, The Pennsylvania State Univ. (USA); David R. Holmes III, Mayo Clinic (USA); Pierre Jannin, Univ. de Rennes 1 (France); David M. Kwartowitz, Clemson Univ. (USA); Cristian A. Linte, Rochester Institute of Technology (USA); Lena Maier-Hein, Deutsches Krebsforschungszentrum (Germany); Michael I. Miga, Vanderbilt Univ. (USA); Kensaku Mori, Nagoya Univ. (Japan); Parvin Mousavi, Queen’s Univ. (Canada); Maryam E. Rettmann, Mayo Clinic (USA); Frank Sauer, Siemens Corp., Corporate Technology (USA); Eric J. Seibel, Univ. of Washington (USA); Guy Shechter, Philips Healthcare (USA); Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA); Stefanie Speidel, Karlsruher Institut für Technologie (Germany); Andrew D. Wiles, Northern Digital Inc. (Canada); Ivo Wolf, Hochschule Mannheim (Germany); Ziv R. Yaniv, National Library of Medicine (USA)

MONDAY 13 FEBRUARYPLENARY AND AWARDS SESSION

LOCATION: CRYSTAL C . . . . . . . . . . . . . . . . MON 4:00 PM TO 5:15 PM








LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . TUE 8:00 AM TO 9:40 AM

Modeling Tissue DeformationSession Chairs: Michael I. Miga, Vanderbilt Univ. (USA);

Pierre Jannin, Univ. de Rennes 1 (France)

8:00 am: Towards quantitative quasi-static elastography with a gravity-induced deformation source, Rebekah H. Griesenauer, Jared A. Weis, Lori R. Arlinghaus, Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . [10135-1]

8:20 am: Validation of model-based brain shift correction in neurosurgery via intraoperative magnetic resonance imaging: preliminary results, Ma Luo, Vanderbilt Univ. (USA); Sarah F. Frisken, Brigham and Women’s Hospital (USA); Jared A. Weis, Logan W. Clements, Vanderbilt Univ. (USA); Prashin Unadkat, Brigham and Women’s Hospital (USA); Reid C. Thompson, Vanderbilt Univ. Medical Ctr. (USA); Alexandra J. Golby, Brigham and Women’s Hospital (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10135-2]

8:40 am: Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models, Eloy García, Arnau Oliver, Oliver Diaz, Univ. de Girona (Spain); Yago Diez, Tohoku Univ. (Japan); Robert Martí, Joan Marti, Univ. de Girona (Spain) . . . . . . . . . . . . . . . . . . . . . . . . [10135-3]

9:00 am: A biomechanical approach for in vivo diaphragm muscle motion prediction during normal respiration, Brett N. Coelho, Elham Karami, Seyyed Mohammad Hassan Haddad, Western Univ. (Canada); Behzad Seify, Amirkabir Univ. of Technology (Iran, Islamic Republic of); Abbas Samani, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-4]

9:20 am: Modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with endorectal balloon, Eliott Brion, Univ. Catholique de Louvain (Belgium); Christian Richter, OncoRay - National Ctr. for Radiation Research in Oncology (Germany); Benoît M. Macq, Univ. Catholique de Louvain (Belgium); Kristin Stützer, Florian Exner, Esther Troost, Tobias Hoelscher, OncoRay - National Ctr. for Radiation Research in Oncology (Germany); Luiza Bondar, Univ. Catholique de Louvain (Belgium) . . . . . . . . . . . . . . . [10135-5]


SESSION 2LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . TUE 10:10 AM TO 12:10 PM

RegistrationSession Chairs: David R. Haynor, Univ. of Washington (USA);

Wolfgang Birkfellner, Medizinische Univ. Wien (Austria)

10:10 am: Panorama imaging for image-to-physical registration of narrow drill holes inside spongy bone, Jan N. Bergmeier, Jacob F. Fast, Tobias Ortmaier, Lüder A. Kahrs, Leibniz Univ. Hannover (Germany) . . . [10135-6]

10:30 am: Fundamental limits of image registration performance:effects of image noise and resolution in CT-guided interventions, Michael D. Ketcha, Johns Hopkins Univ. (USA); Runze Han, The Johns Hopkins Univ. School of Medicine (USA); Ali Uneri, Sureerat Reaungamornrat, Tharindu de Silva, Joseph Goerres, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-7]

10:50 am: Which point-line registration?, Elvis C. S. Chen, Terry M. Peters, Robarts Research Institute (Canada); Burton Ma, York Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-8]

11:10 am: Deformable 3D-2D registration for guiding K-wire placements in pelvic trauma surgery, Joseph Goerres, Matthew Jacobson, Ali Uneri, Tharindu de Silva, Michael D. Ketcha, Sureerat Reaungamornrat, Johns Hopkins Univ. (USA); Sebastian Vogt, Gerhard Kleinszig, Siemens Healthineers (Germany); Jean-Paul Wolinsky, Greg Osgood, The Johns Hopkins Hospital (USA); Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . [10135-9]

11:30 am: 3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines, Soheil Ghafurian, Ilker Hacihaliloglu, Dimitris N. Metaxas, Kang Li, Rutgers, The State Univ. of New Jersey (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-10]

11:50 am: Investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT, Barbara Trimborn, Institute for Medical Informatics, Hochschule Mannheim (Germany) and Computer Assisted Clinical Medicine, Ruprecht-Karls-Univ. Heidelberg (Germany); Ivo Wolf, Institute for Medical Informatics, Hochschule Mannheim (Germany); Denis Abu-Sammour, Institute for Instrumental Analysis and Bioanalysis, Hochschule Mannheim (Germany); Thomas Henzler, Institute of Clinical Radiology and Nuclear Medicine, Ruprecht-Karls-Univ. Heidelberg (Germany); Lothar Schad, Frank Zöllner, Computer Assisted Clinical Medicine, Ruprecht-Karls-Univ. Heidelberg (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-11]





SESSION 3LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . . TUE 1:20 PM TO 3:00 PM

Neurosurgical ProceduresSession Chairs: Sandrine de Ribaupierre, Western Univ. (Canada);

Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA)

1:20 pm: Toward real-time tumor margin identification in image-guided robotic brain tumor resection, Danying Hu, Yang Jiang, Univ. of Washington (USA); Evgenii Belykh, Barrow Neurological Institute (USA) and St. Joseph’s Hospital and Medical Ctr. (USA); Yuanzheng Gong, Univ. of Washington (USA); Mark C. Preul, Barrow Neurological Institute (USA) and St. Joseph’s Hospital and Medical Ctr. (USA); Blake Hannaford, Eric J. Seibel, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-12]

1:40 pm: Real-time phase recognition in novel needle-based intervention: multi-operator feasibility study, Sébastien Muller, Norwegian Univ. of Science and Technology (Norway) and SINTEF (Norway); Fabien Despinoy, Pierre Jannin, Univ. de Rennes 1 (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-13]

2:00 pm: Development of a mechanics based model of brain deformations during intracerebral hemorrhage evacuation, Saramati Narasimhan, Jared A. Weis, Isuru Godage, Vanderbilt Univ. (USA); Robert J. Webster III, Vanderbilt Univ. (USA) and Vanderbilt Univ. Medical Ctr. (USA); Kyle D. Weaver, Vanderbilt Univ. Medical Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA) and Vanderbilt Institute in Surgery and Engineering (USA) and Vanderbilt Univ. Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-14]

2:20 pm: The introduction of capillary structures in 4D simulated vascular tree for ART 3.5D algorithm further validation, Beatrice Barra, Elena De Momi, Giancarlo Ferrigno, Politecnico di Milano (Italy); Francesco Cardinale, Grande Ospedale Metropolitano Niguarda (Italy); Giuseppe Baselli, Politecnico di Milano (Italy) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-15]

2:40 pm: 3D surface estimation from sparse electrophysiological measurements and integration with preoperative MRI in deep brain stimulation surgery, Andreas Husch, Ctr. Hospitalier de Luxembourg (Luxembourg) and Luxembourg Ctr. for Systems Biomedicine, Univ. du Luxembourg (Luxembourg); Peter Gemmar, Luxembourg Ctr. for Systems Biomedicine, Univ. du Luxembourg (Luxembourg) and Hochschule Trier (Germany); Johan Thunberg, Luxembourg Ctr. for Systems Biomedicine, Univ. du Luxembourg (Luxembourg); Frank Hertel, Ctr. Hospitalier de Luxembourg (Luxembourg) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-16]


SESSION 4LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .TUE 3:30 PM TO 4:50 PM

Spine InterventionsSession Chairs: Cristian A. Linte, Rochester Institute of Technology

(USA); David R. Holmes III, Mayo Clinic (USA)

3:30 pm: Localization of the transverse processes in ultrasound for spinal curvature measurement, Shahrokh Kamali, Tamas Ungi, Andras Lasso, Christina Yan, Matthew Lougheed, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-17]

3:50 pm: Toward dynamic lumbar punctures guidance based on single element synthetic tracked aperture ultrasound imaging, Haichong K. Zhang, Melissa Lin, Yonsu Kim, Nisu Patel, Abhey Moghekar, Nicholas J. Durr, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . [10135-18]

4:10 pm: Identification and tracking of vertebrae in ultrasound using deep networks with unsupervised feature learning, Jorden Hetherington, Mehran Pesteie, The Univ. of British Columbia (Canada); Victoria A. Lessoway, BC Women’s Hospital and Health Ctr. (Canada); Purang Abolmaesumi, Robert N. Rohling, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . . . . [10135-19]

4:30 pm: Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks, Ben Church, Andras Lasso, Lab. for Percutaneous Surgery (Canada); Christopher Schlenger, Premier Chiropractic (USA); Daniel Borschneck, Parvin Mousavi, Queen’s Univ. (Canada); Gabor Fichtinger, Tamas Ungi, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-20]


LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . WED 8:00 AM TO 9:40 AM

Cochlear ImplantationSession Chairs: Andrew D. Wiles, Northern Digital Inc. (Canada);

Ziv Yaniv, National Library of Medicine (USA)

8:00 am: Evaluation of a high-resolution patient-specific model of the electrically stimulated cochlea, Ahmet Cakir, Vanderbilt Univ. (USA); Robert Dwyer, Vanderbilt Univ. Medical Ctr. (USA); Jack H. Noble, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-21]

8:20 am: A cochlear implant phantom for evaluating CT acquisition parameters, Srijata Chakravorti, Vanderbilt Univ. (USA); Brian J. Bussey, Vanderbilt Univ. Medical Ctr. (USA); Yiyuan Zhao, Benoit M. Dawant, Vanderbilt Univ. (USA); Robert F. Labadie, Vanderbilt Univ. Medical Ctr. (USA); Jack H. Noble, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-22]

8:40 am: An image guidance system for positioning robotic cochlear implant insertion tools, Trevor L. Bruns, Robert J. Webster III, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-23]

9:00 am: Micro-stereotactic frame utilizing bone cement for individual fabrication: an initial investigation of its accuracy, Thomas S. Rau, G. Jakob Lexow, Denise Blume, Marcel Kluge, Thomas Lenarz, Omid Majdani, Medizinische Hochschule Hannover (Germany) . . . . . . . . . . . . . . . . . . . [10135-24]

9:20 am: Selecting electrode configurations for image-guided cochlear implant programming using template matching, Dongqing Zhang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-25]


SESSION 6LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . .WED 10:10 AM TO 12:10 PM

Keynote and Percutaneous ProceduresSession Chairs: Robert J. Webster III, Vanderbilt Univ. (USA);

Baowei Fei, Emory Univ. (USA)

10:10 am: Innovations in surgical technology with oncologic application (Keynote Presentation), William R. Jarnagin, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-26]

11:10 am: Enabling image fusion for a CT guided needle placement robot, Reza Seifabadi, Sheng Xu, Fereshteh Aalamifar, National Institutes of Health (USA); Gnanasekar Velusamy, Perfint Healthcare Pvt. Ltd. (India); Bradford J. Wood, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . [10135-27]

11:30 am: Training with Perk Tutor improves ultrasound-guided in-plane needle insertion skill, Hillary Lia, Zsuzsanna Keri, Matthew S. Holden, Vinyas Harish, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada); Christopher H. Mitchell, Sir Charles Gairdner Hospital (Australia); Tamas Ungi, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-28]

11:50 am: Real-time MRI-guided needle intervention for nerve and tumor cryoablation: a phantom study, Wenpeng Gao, Harbin Institute of Technology (China) and Brigham and Women’s Hospital (USA); Baichuan Jiang, Tianjin Univ. (China); Daniel F. Kacher, Brigham and Women’s Hospital (USA); Barry Fetics, Eres Nevo, Robin Medical Inc. (USA); Thomas C. Lee, Brigham and Women’s Hospital, Harvard Medical School (USA); Jagadeesan Jayender, Brigham and Women’s Hospital (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-29]


CONFERENCE 10135

CO

NFE

REN

CES


SESSION 7LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . WED 1:20 PM TO 3:00 PM

Optical SensingSession Chairs: Eric J. Seibel, Univ. of Washington (USA);

Lena Maier-Hein, Deutsches Krebsforschungszentrum (Germany)

1:20 pm: Image-guided smart laser system for precision implantation of cells in cartilage, Nitesh Katta, John A. Rector, Michael Gardner, Austin B. McElroy, Kevin C. Choy, Janet Zoldan, Thomas E. Milner, The Univ. of Texas at Austin (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-30]

1:40 pm: Feature tracking for automated VOI stabilization on 4D-OCT images, Max-Heinrich Laves, Andreas Schoob, Lüder A. Kahrs, Leibniz Univ. Hannover (Germany); Robert A. Huber, Institut für Biomedizinische Optik, Univ. zu Lübeck (Germany) and Optores GmbH (Germany); Tobias Ortmaier, Leibniz Univ. Hannover (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-31]

2:00 pm: Microscope integrated OCT based needle-type optical probe for anterior segment surgery, Sungwon Shin, Jung Kweon Bae, Yujin Ahn, Hyeongeun Kim, Ulsan National Institute of Science and Technology (Korea, Republic of); Young-Sik Yoo, Choun-Ki Joo, The Catholic Univ. of Korea (Korea, Republic of); Sucbei Moon, Kookmin Univ. (Korea, Republic of); Woonggyu Jung, Ulsan National Institute of Science and Technology (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-32]

2:20 pm: Don’t get burned: thermal monitoring of vessel sealing using a miniature infrared camera, Loris Fichera, Shan Lin, Vanderbilt Univ. (USA); Mitchell J. Fulton, Anderson Univ. (USA); Robert J. Webster III, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-33]

2:40 pm: Imaging with a single-element forward-looking steerable IVUS catheter using optical shape sensing, Jovana Janjic, Frits Mastik, Erasmus MC (Netherlands); Merel Leistikow, Philips Research (Netherlands); Johannes G. Bosch, Antonius F. W. van der Steen, Gijs van Soest, Erasmus MC (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-34]


SESSION 8LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . WED 3:30 PM TO 5:30 PM

Novel Robots and Robotic ProceduresSession Chairs: David M. Kwartowitz, Clemson Univ. (USA); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada)

3:30 pm: Co-robotic ultrasound imaging: a cooperative force control approach, Rodolfo Finocchi, Fereshteh Aalamifar, Russell H. Taylor, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-35]

3:50 pm: Concentric agonist-antagonist robots for minimally invasive surgeries, Kaitlin P. Oliver Butler, Zane Epps, Daniel C. Rucker, The Univ. of Tennessee Knoxville (USA) . . . . . . . . . . . . . . . . . . . . . . . . . [10135-36]

4:10 pm: Robotically assisted ureteroscopy for kidney exploration, Hadi Fooladi, Reza Monfaredi, Emmanuel Wilson, Emily Blum, Christopher Bayne, Children’s National Medical Ctr. (USA); Craig A. Peters, The Univ. of Texas Southwestern Medical Ctr. at Dallas (USA); Anlin Zhang, Tianjin Univ. (China); Kevin Cleary, Children’s National Medical Ctr. (USA) . . . . . . . . . . . . . . . [10135-37]

4:30 pm: Optimized positioning of autonomous surgical lamps, Jörn Teuber, Rene Weller, Ron Kikinis, Gabriel Zachmann, Univ. Bremen (Germany); Karl-Jürgen Oldhafer, Michael J. Lipp, Asklepios Klinik Barmbek (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-38]

4:50 pm: Design of a concentric-tube robot for endoscopic deployment, Ryan Ponten, Caroline B. Black, Daniel C. Rucker, Univ. of Tennessee Knoxville (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-39]

5:10 pm: Accuracy of registration between a robotic system and a medical imaging system, Abhinav Gulhar, Institue for Medical Engineering, Otto-von-Guericke-Univ. Magdeburg (Germany) and Siemens Healthcare GmbH (Germany); Philip W. Mewes, Siemens Healthineers (Germany); Georg Rose, Institue for Medical Engineering, Otto-von-Guericke-Univ. Magdeburg (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-40]

POSTERS- TUESDAY/WEDNESDAYLOCATION: OCEANS BALLROOM . . . . . . WED 5:30 PM TO 7:00 PM

Posters for this conference will be on display Tuesday and Wednesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Thursday afternoon.

POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . .WED 5:30 PM TO 7:00 PMIntegration of myocardial scar identified by preoperative delayed-contrast enhanced MRI into a high-resolution mapping system for planning and guidance of VT ablation procedures, Maryam E. Rettmann, Atsushi Suzuki, Songyun Wang, Mayo Clinic (USA); Nathan Pottinger, Chapman Arter, Andrew Netzer, Boston Scientific Corp. (USA); Kay Parker, Kimberly Viker, Douglas Packer, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-60]

A system for endobronchial-video analysis, William E. Higgins, The Pennsylvania State Univ. (USA) . . . . . . . . . . . . . [10135-61]

Evaluation of lung tumor motion management in radiation therapy with dynamic MRI, Seyoun Park, The Johns Hopkins Univ. School of Medicine (USA); Rana Farah, Ecole Polytechnique de Montréal (Canada); Steven M. Shea, Loyola Univ. Medical Ctr. (USA); Erik Tryggestad, Mayo Clinic (USA); Russell Hales, Junghoon Lee, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . [10135-62]

Automatic detection of measurement points for non-contact vibrometer-based diagnosis of cardiac arrhythmias, Jürgen Metzler, Kristian Kroschel, Dieter N. Willersinn, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-63]

Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears, Lucas N. Potter, Old Dominion Univ. (USA); Sreekanth V. Arikatla, Kitware, Inc. (USA); Aaron Bray, Jeff Webb, Applied Research Associates, Inc. (USA); Andinet Enquobahrie, Kitware, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-64]

Is pose-based pivot calibration superior to sphere fitting?, Burton Ma, Niloofar Banihaveb, Joy Choi, York Univ. (Canada); Elvis C. S. Chen, Robarts Research Institute (Canada); Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-65]

Online C-arm calibration using a marked guide wire for 3D reconstruction of pulmonary arteries, Étienne Vachon, École de Technologie Supérieure (Canada); Joaquim Miró, Ctr. Hospitalier Univ. Sainte-Justine (Canada); Luc Duong, École de Technologie Supérieure (Canada) . . . . . . . . . . . . . . . . . . . . . . [10135-66]

On pattern selection for laparoscope calibration, Stephen A. Thompson, Yannic Meuer, Univ. College London (United Kingdom); Philip E. Edwards, Tanisson Ltd. (United Kingdom); João D. M. Ramalhinho, Maria R. Robu, Danail Stoyanov, Sebastian Ourselin, Univ. College London (United Kingdom); Brian R. Davidson, UCL Medical School (United Kingdom); David J. Hawkes, Matthew J. Clarkson, Univ. College London (United Kingdom) . . . . . . . [10135-67]

A robot-assisted bone reposition system for orthognathic surgery: an immediate registration and evaluation, Sang-Yoon Woo, Seoul National Univ. (Korea, Republic of); Jung-Joon Han, Chonnam National Univ. Hospital (Korea, Republic of); Sang-Jeong Lee, Ji-Yong Yoo, Soon-Jung Hwang, Won-Jin Yi, Seoul National Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . [10135-68]

On the nature of data collection for soft-tissue image-to-physical organ registration: a noise characterization study, Jarrod A. Collins, Jon S. Heiselman, Jared A. Weis, Logan W. Clements, Vanderbilt Univ. (USA); Amber L. Simpson, William R. Jarnagin, Memorial Sloan-Kettering Cancer Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . [10135-69]

Using an android application to assess registration strategies in open hepatic procedures: a planning and simulation tool, Derek J. Doss, Jon S. Heiselman, Jarrod A. Collins, Jared A. Weis, Logan W. Clements, Vanderbilt Univ. (USA); Michael I. Miga, Vanderbilt Univ. (USA) and Vanderbilt Univ. Medical Ctr. (USA) and Vanderbilt Institute in Surgery and Engineering (USA) . . . . . . [10135-70]

Slice-to-volume parametric image registration models with applications to cardiac MRI, L.W. Lorraine Ma, Mehran Ebrahimi, Univ. of Ontario Institute of Technology (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-71]

Virtual landmarks, Yubing Tong, Univ. of Pennsylvania School of Medicine (USA); Jayaram K. Udupa, Univ. of Pennsylvania (USA); Dewey Odhner, Univ. of Pennsylvania (USA) and Univ. of Pennsylvania School of Medicine (USA); Peirui Bai, Univ. of Pennsylvania School of Medicine (USA) and Univ. of Pennsylvania (USA); Drew A. Torigian, Univ. of Pennsylvania (USA) and Univ. of Pennsylvania School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-72]

CONFERENCE 10135


Skull registration for prone patient position using tracked ultrasound, Grace Underwood, Lab. for Percutaneous Surgery (Canada); Tamas Ungi, Zachary M. C. Baum, Andras Lasso, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada); Gernot Kronreif, Austrian Ctr. for Medical Innovation and Technology (Austria); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-73]

Comparative study of texture synthesis for content generation in ultrasound training simulation, Oliver Mattausch, Kenneth Vanhoey, Elizabeth Ren, Orcun Goksel, ETH Zürich (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-74]

Consistent evaluation of an ultrasound-guided surgical navigation system by utilizing an active validation platform, Younsu Kim, Sungmin Kim, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-75]

Computational modeling of radiofrequency ablation: evaluation on ex-vivo data using ultrasound monitoring, Chloé Audigier, Younsu Kim, Austin Dillow, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10135-76]

Needle tip visibility in 3D ultrasound images, Muhammad Arif, Adriaan Moelker, Theo van Walsum, Erasmus MC (Netherlands) . . . . . . . . . . . . . . . . . . . . [10135-77]

Catheter tracking in an interventional photoacoustic surgical system, Alexis Cheng, Yuttana Itsarachaiyot, Younsu Kim, Russell H. Taylor, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-78]

Study into needle displacement during navigated breast cancer surgery, Christina Yan, Queen’s Univ. (Canada); Tamas Ungi, Lab. for Percutaneous Surgery (Canada); Gabrielle Gauvin, Doris Jabs, Queen’s Univ. (Canada); Andras Lasso, Lab. for Percutaneous Surgery (Canada); C. Jay Engel, John Rudan, Queen’s Univ. (Canada); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-79]

An accurate detection method for biopsy needle in ultrasound images based on fuzzy enhancement and Hough transform, Jinxia Ren, Mingyue Ding, Huazhong Univ. of Science and Technology (China); Huageng Liang, Wuhan Union Hospital (China); Xuming Zhang, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-80]

Ultrasound guidance system for prostate biopsy, Johann Hummel, Reinhard Kerscnher, Marcus Kaar, Wolfgang Birkfellner, Michael Figl, Medizinische Univ. Wien (Austria) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-81]

Motorized fusion guided prostate biopsy: phantom study, Reza Seifabadi, Sheng Xu, Fereshteh Aalamifar, Peter Pinto, Bradford J. Wood, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-82]

Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation, Davide Scorza, Vicomtech-IK4 (Spain); Sara Moccia, Istituto Italiano di Tecnologia (Italy); Giuseppe De Luca, Politecnico di Milano (Italy); Francesco Cardinale, Grande Ospedale Metropolitano Niguarda (Italy); Leonardo S. Mattos, Istituto Italiano di Tecnologia (Italy); Luis Kabongo, Vicomtech-IK4 (Spain); Elena De Momi, Politecnico di Milano (Italy) . . . . . . . . . . . . . . . [10135-83]

Automated location detection of injection site for preclinical stereotactic neurosurgery procedure, Shiva Abbaszadeh, Hemmings C. H. Wu, Stanford Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-84]

Straight trajectory planning for keyhole neurosurgery in sheep with automatic brain structure segmentation, Alberto Favaro, Akash Lad, Davide Formenti, Politecnico di Milano (Italy); Davide Danilo Zani, Fabio Acocella, Stefano Brizzola, Univ. degli Studi di Milano (Italy); Elena De Momi, Politecnico di Milano (Italy) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-85]

Association between hemodynamic modifications and clinical outcome of intracranial aneurysms treated using flow diverters, Nikhil Paliwal, Jason M. Davies, Adnan H. Siddiqui, Hui Meng, Univ. at Buffalo (USA) . . . . . . . . [10135-86]

Integrated system for point cloud reconstruction and simulated brain shift validation using tracked surgical microscope, Xiaochen Yang, Logan W. Clements, Ma Luo, Saramati Narasimhan, Reid C. Thompson, Benoit M. Dawant, Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-87]

Towards a face-based smoothed finite element method for real-time simulation of the brain shift, Andrea Mendizabal, Remi Bessard Duparc, MIMESIS (France); Huu Phuoc Bui, Univ. de Strasbourg (France) National de la Recherche Scientifique (France), and ICube (France); Christoph Paulus, Igor Peterlik, Stéphane Cotin, MIMESIS (France) . . . . . . . . . . . . . . . . . . . . . . [10135-88]

Automatic intraoperative fiducial-less patient registration using cortical surface, Xiaoyao Fan, Thayer School of Engineering at Dartmouth (USA); David W. Roberts, Dartmouth Hitchcock Medical Ctr. (USA); Jonathan D. Olson, Songbai Ji, Keith D. Paulsen, Thayer School of Engineering at Dartmouth (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-89]

Real-time interactive tractography analysis for multimodal brain visualization tool: MultiXplore, Saeed Mahdizadeh Bakhshmand, Sandrine de Ribaupierre, Roy Eagleson, Western Univ. (Canada). . . . . . . . . . . . . . . . . . . . . . . . . . [10135-90]

C-arm positioning using virtual fluoroscopy for image-guided surgery, Tharindu de Silva, Joshua Punnoose, Ali Uneri, Joseph Goerres, Matt Jacobson, Michael D. Ketcha, Amir Manbachi, Johns Hopkins Univ. (USA); Sebastian Vogt, Siemens Healthineers (USA); Gerhard Kleinszig, Siemens Healthineers (Germany); Akhil J. Khanna, Jean-Paul Wolinsky, Greg Osgood, Jeffrey H. Siewerdsen, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-91]

Patient identification using a near-infrared laser scanner, Jirapong Manit, Univ. zu Lübeck (Germany); Christina Bremer, The Univ. of Edinburgh (United Kingdom); Achim Schweikard, Floris Ernst, Univ. zu Lübeck (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-92]

Interactive planning of miniplates, Markus Gall, Technische Univ. Graz (Austria); Knut Reinbacher, Jürgen Wallner, Medical Univ. of Graz (Austria); Jan Stanzel, MedArtis AG (Switzerland); Xiaojun Chen, Shanghai Jiao Tong Univ. (China); Katja Schwenzer-Zimmerer, Medical Univ. of Graz (Austria); Dieter Schmalstieg, Technische Univ. Graz (Austria); Jan Egger, Technische Univ. Graz (Austria) and BioTechMed-Graz (Austria) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-93]

Phantom-based evaluation method for surgical assistance devices in minimally-invasive cochlear implantation, G. Jakob Lexow, Marcel Kluge, Omid Majdani, Thomas Lenarz, Thomas S. Rau, Medizinische Hochschule Hannover (Germany) . . . . . . . . . . . . . . . . . . . [10135-94]

Temporal bone dissection simulator for training pediatric otolaryngology surgeons, Pooneh Roshani, Diego Preciado, Children’s National Medical Ctr. (USA); Hongqiang Sang, Tianjin Univ. (China); Sreekanth V. Arikatla, Andinet Enquobahrie, Kitware, Inc. (USA); Kevin Cleary, Children’s National Medical Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-95]

Planning acetabular fracture reduction using patient-specific multibody simulation of the hip, Hadrien Oliveri, Univ. Grenoble Alpes - Ctr. National de la Recherche Scientifique (France); Mehdi Boudissa, Jerome Tonetti, Ctr. Hospitalier Univ. Grenoble Alpes (France) and Univ. Grenoble Alpes - Ctr. National de la Recherche Scientifique (France); Matthieu Chabanas, Univ. Grenoble Alpes - Ctr. National de la Recherche Scientifique (France) . . . . . . . . . . . . . . . . . . . [10135-96]

Statistical shape modeling based renal volume measurement using tracked ultrasound, David M. Kwartowitz, Vipul Pai Raikar, Clemson Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-97]

Monitoring electromagnetic tracking error using redundant sensors, Vinyas Harish, Eden Bibic, Andras Lasso, Matthew S. Holden, Thomas A. Vaughan, Zachary M. C. Baum, Tamas Ungi, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-98]

Visual tracking for multi-modality computer-assisted image guidance, Ehsan Basafa, Pezhman Foroughi, Martin Hossbach, Jasmine Bhanushali, Clear Guide Medical (USA); Philipp J. Stolka, Johns Hopkins Outpatient Ctr. (USA) and Clear Guide Medical (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-99]

Usability of a real-time tracked augmented reality display system in musculoskeletal injections, Zachary M. C. Baum, Tamas Ungi, Andras Lasso, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-100]

Real- time liver tumour tracking with low contrast radiopaque markers, Sankar Arumugam, Mark Lee, Liverpool and Macarthur Cancer Therapy Ctrs. (Australia), Ingham Institute (Australia), and South Western Clinical School, Univ. of New South Wales (Australia); Mark Sidhom, Aitang Xing, Liverpool and Macarthur Cancer Therapy Ctrs. (Australia) and Ingham Institute (Australia) and South Western Clinical School, Univ. of New South Wales (Australia); Lois Holloway, Liverpool and Macarthur Cancer Therapy Ctrs. (Australia) and South Western Clinical School, Univ. of New South Wales (Australia) and Ctr. for Medical Radiation Physics, Univ. of Wollongong (Australia) . . . . . . . . . . . . . . . [10135-101]

Breathing motion compensated registration of laparoscopic liver ultrasound to CT, João D. M. Ramalhinho, Maria R. Robu, Stephen A. Thompson, Philip E. Edwards, Crispin Schneider, Univ. College London (United Kingdom); Kurinchi Gurusamy, UCL Medical School (United Kingdom); David J. Hawkes, Univ. College London (United Kingdom); Brian R. Davidson, UCL Medical School (United Kingdom); Dean C. Barratt, Matthew J. Clarkson, Univ. College London (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-102]

Emulation of the laparoscopic environment for image-guided liver surgery via an abdominal phantom system with anatomical ligamenture, Jon S. Heiselman, Jarrod A. Collins, Jared A. Weis, Logan W. Clements, Vanderbilt Univ. (USA); Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA); Sunil K. Geevarghese, Vanderbilt Univ. Medical Ctr. (USA); William R. Jarnagin, Memorial Sloan-Kettering Cancer Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-103]

Automatic transperineal ultrasound probe positioning based on CT scan for image guided radiotherapy, Saskia M. Camps, Technische Univ. Eindhoven (Netherlands); Frank Verhaegen, Gabriel Paiva Fonesca, GROW – School for Oncology and Developmental Biology (Netherlands); Peter H. N. de With, Technische Univ. Eindhoven (Netherlands); Davide Fontanarosa, GROW – School for Oncology and Developmental Biology (Netherlands) . . . . . . . . . . . [10135-104]

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Fractional labelmaps for computing accurate dose volume histograms, Kyle Sunderland, Csaba Pinter, Queen’s Univ. (Canada); Andras Lasso, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . [10135-105]

Evaluation of the Intel RealSense SR300 camera for image-guided interventions and application in vertebral level localization, Rachael House, Andras Lasso, Vinyas Harish, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-106]


LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . .THU 8:00 AM TO 9:40 AM

Cardiac ProceduresSession Chairs: Maryam E. Rettmann, Mayo Clinic (USA);

Guy Shechter, Philips Healthcare (USA)

8:00 am: Patient-specific pediatric silicone heart valve models based on ultrasound, Anna Ilina, Andras Lasso, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada); Matthew A. Jolley, Brittany Wohler, Alex V. Nguyen, Adam Scanlan, The Children’s Hospital of Philadelphia (USA); Zachary M. C. Baum, Lab. for Percutaneous Surgery (Canada); Francis X. McGowan, The Children’s Hospital of Philadelphia (USA); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) and Queen’s Univ. (Canada) . . . . . . . . . . . . . . . . . . . . [10135-41]

8:20 am: Patient-specific indirectly 3D printed mitral valves for pre-operative surgical modelling, Olivia Ginty, John T. Moore, Robarts Research Institute (Canada); Daniel Bainbridge, London Health Sciences Ctr. (Canada); Terry M. Peters, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . . [10135-42]

8:40 am: Real-time catheter localization and visualization using three-dimensional echocardiography, Pawel Kozlowski, GE Vingmed Ultrasound (Norway); Raja Sekhar Bandaru, GE Vingmed Ultrasound (Norway) and KU Leuven (Belgium); Jan D’hooge, KU Leuven (Belgium); Eigil Samset, GE Vingmed Ultrasound (Norway) and Univ. I Oslo (Norway) and Ctr. for Cardiological Innovation (Norway) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-43]

9:00 am: integrating atlas and graph cut methods for right ventricle segmentation from cardiac cine MRI, Shusil Dangi, Nathan D. Cahill, Cristian A. Linte, Rochester Institute of Technology (USA) . . . . . . . . . . . [10135-44]

9:20 am: Patient specific atrial models for pre-procedure surgical planning, Justin Laing, Western Univ. (Canada); John T. Moore, Robarts Research Institute (Canada); Daniel Bainbridge, Western Univ. (Canada); Maria Drangova, Terry M. Peters, Robarts Research Institute (Canada) and Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-45]


SESSION 10LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . THU 10:10 AM TO 12:10 PM

Joint Session with Conferences MI104 and MI108

Ultrasound Image GuidanceSession Chair: Purang Abolmaesumi, The Univ. of British Columbia (Canada)

10:10 am: Backscattering analysis of high frequency ultrasonic imaging for ultrasound-guided breast biopsy, Thomas Cummins, Takahiro Akiyama, Univ. of Southern California (USA); Changyang Lee, The Univ. of California, Davis (USA); Sue E. Martin, K. Kirk Shung, The Univ. of Southern California (USA) . . [10139-26]

10:30 am: Intraoperative 3D ultrasound guidance system for permanent breast seed implantation, Justin A. Michael, Robarts Research Institute (Canada); Deidre L. Batchelar, BC Cancer Research Ctr. (Canada); Aaron Fenster, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-46]

10:50 am: Evaluation of an interactive ultrasound-based breast tumor contouring workflow, Aniqah T. Mair, Thomas A. Vaughan, Tamas Ungi, Andras Lasso, Lab. for Percutaneous Surgery (Canada); C. Jay Engel, School of Medicine, Queen’s Univ. (Canada); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-47]

11:10 am: Development of a high frequency single-element ultrasound needle transducer for anesthesia delivery, Golafsoun Ameri, Robarts Research Institute, Western Univ. (Canada); Jungik Son, Sunnybrook Health Sciences Ctr. (Canada); F. Stuart Foster, Sunnybrook Health Sciences Ctr. (Canada) and Univ. of Toronto (Canada); Sugantha Ganapathy, Univ. of Western Ontario (Canada) and London Health Sciences Ctr. (Canada); Terry M. Peters, Robarts Research Institute, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-27]

11:30 am: Modeling of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order, Layan Nahlawi, Caroline Goncalves, Queen’s Univ. (Canada); Farhad Imani, The Univ. of British Columbia (Canada); Mena Gaed, Robarts Research Institute (Canada); José A. Gómez, Madeleine Moussa, Western Univ. (Canada); Eli D. Gibson, Univ. College London (United Kingdom); Aaron Fenster, Robarts Research Institute (Canada); Aaron D. Ward, Western Univ. (Canada); Purang Abolmaesumi, The Univ. of British Columbia (Canada); Parvin Mousavi, Queen’s Univ. (Canada); Hagit Shatkay, Univ. of Delaware (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-48]

11:50 am: 360-degree 3D transvaginal ultrasound system for high-dose-rate interstitial gynaecological brachytherapy needle guidance, Jessica R. Rodgers, Robarts Research Institute, Western Univ. (Canada); Kathleen Surry, David D’Souza, London Regional Cancer Program, London Health Sciences Ctr. (LHSC) (Canada); Eric Leung, Odette Cancer Ctr., Sunnybrook Health Sciences Ctr. (Canada); Aaron Fenster, Robarts Research Institute, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-28]


SESSION 11LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .THU 1:20 PM TO 3:00 PM

Anatomical Measurement and Respiratory Tracking

Session Chairs: William E. Higgins, The Pennsylvania State Univ. (USA); Stefanie Speidel, Karlsruher Institut für Technologie (Germany)

1:20 pm: Interpolation of 3D slice volume data for visualisation and 3D printing, Irina D. Voiculescu, Samuel Littley, Univ. of Oxford (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-49]

1:40 pm: Optimization of real-time rigid registration motion compensation for prostate biopsies using 2D/3D ultrasound, Derek J. Gillies, Robarts Research Institute (Canada) and Western Univ. (Canada); Ren Zhao, Ctr. for Imaging Technology Commercialization (Canada); Lori Gardi, Robarts Research Institute (Canada) and Western Univ. (Canada); Aaron Fenster, Robarts Research Institute (Canada) and Ctr. for Imaging Technology Commercialization (Canada) and Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-50]

2:00 pm: Open-source software for collision detection in external beam radiation therapy, Vinith M. Suriyakumar, Renee Xu, Csaba Pinter, Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . [10135-51]

2:20 pm: Feature based breathing motion tracking for dynamic roadmaps in minimally invasive procedures in the thorax and abdominal region, Martin Wagner, Paul Laeseke, Tilman Schubert, Jordan M. Slagowski, Michael A. Speidel, Charles M. Strother, Charles A. Mistretta, Univ. of Wisconsin-Madison (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-52]

2:40 pm: Upper ankle joint space detection on low contrast intraoperative fluoroscopic C-arm projections, Sarina Thomas, Deutsches Krebsforschungszentrum (Germany); Marc Schnetzke, BG Klinik Ludwigshafen (Germany); Michael Brehler, Johns Hopkins Univ. (USA); Benedict Swartman, Sven Y. Vetter, Jochen Franke, Paul A. Grützner, BG Klinik Ludwigshafen (Germany); Hans-Peter Meinzer, Marco Nolden, Deutsches Krebsforschungszentrum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-53]

POSTER AWARD ANNOUNCEMENTS LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .3:00 PM TO 3:05 PM

The Image-Guided Procedures, Robotic Interventions, and Modeling conference poster award recipients will be recognized and certificates distributed.

SPONSORED BY:


CONFERENCE 10135


SESSION 12LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .THU 3:30 PM TO 5:30 PM

SegmentationSession Chairs: Ivo Wolf, Hochschule Mannheim (Germany);

George J. Grevera, Saint Joseph’s Univ. (USA)

3:30 pm: Boundary overlap for medical image segmentation evaluation, Varduhi Yeghiazaryan, Irina D. Voiculescu, Univ. of Oxford (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-54]

3:50 pm: DeepInfer: open-source deep learning deployment toolkit for image-guided therapy, Alireza Mehrtash, The Univ. of British Columbia (Canada) and Brigham and Women’s Hospital (USA); Mehran Pesteie, Jorden Hetherington, The Univ. of British Columbia (Canada); Peter A. Behringer, Tina Kapur, William M. Wells III, Brigham and Women’s Hospital (USA); Robert N. Rohling, The Univ. of British Columbia (Canada); Andriy Fedorov, Brigham and Women’s Hospital (USA); Purang Abolmaesumi, The Univ. of British Columbia (Canada) . . [10135-55]

4:10 pm: Deep convolutional neural network for prostate MR segmentation, Zhiqiang Tian, Lizhi Liu, Baowei Fei, Emory Univ. (USA) . . . . . . . . . . . . [10135-56]

4:30 pm: Deep residual networks for automatic segmentation of laparoscopic videos of the liver, Eli D. Gibson, Univ. College London (United Kingdom) and Radboud Univ. Medical Ctr. (Netherlands); Maria R. Robu, Stephen A. Thompson, Philip E. Edwards, Univ. College London (United Kingdom); Crispin Schneider, Kurinchi Gurusamy, Brian R. Davidson, The Royal Free Hospital (United Kingdom); David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson, Univ. College London (United Kingdom) . . . . . . . . . . . . . . . . . [10135-57]

4:50 pm: Spine segmentation in C-arm CT data for image-guided spine interventions, Christian Buerger, Cristian Lorenz, Philips Research (Germany); Drazenko Babic, Jurgen Hoppenbrouwers, Robert Homan, Rami Nachabe, Philips Healthcare (Netherlands); John M. Racadio, Cincinnati Children’s Hospital Medical Ctr. (USA); Michael Grass, Philips Research (Germany) . . . . . . [10135-58]

5:10 pm: Liver segmentation in color images, Burton Ma, York Univ. (Canada); T. Peter Kingham, Memorial Sloan-Kettering Cancer Ctr. (USA); Michael I. Miga, Vanderbilt Univ. (USA); William R. Jarnagin, Amber L. Simpson, Memorial Sloan-Kettering Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-59]

CONFERENCE 10135

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Maryellen Giger, The University of Chicago Editor-in-Chief

The Journal of Medical Imaging publishes peer-reviewed papers on the fundamental and translational research and applications focused on medical imaging, which continue to yield physical and biomedical advancements in early detection, diagnostics, and therapy of disease, as well as in the understanding of normal.

www.spie.org/jmi

Medical Imaging


CONFERENCE 10136Sunday–Monday 12–13 February 2017 • Proceedings of SPIE Vol. 10136

Image Perception, Observer Performance, and Technology AssessmentConference Chairs: Matthew A. Kupinski, College of Optical Sciences, The Univ. of Arizona (USA); Robert M. Nishikawa, Univ. of Pittsburgh (USA)

Program Committee: Craig K. Abbey, Univ. of California, Santa Barbara (USA); Jongduk Baek, Yonsei Univ. (Korea, Republic of); François O. Bochud, Ctr. Hospitalier Univ. Vaudois (Switzerland); Jovan G. Brankov, Illinois Institute of Technology (USA); Alastair G. Gale, Loughborough Univ. (United Kingdom); Howard C. Gifford, Univ. of Houston (USA); Stephen L. Hillis, The Univ. of Iowa (USA); Elizabeth A. Krupinski, Emory Univ. School of Medicine (USA); Anthony J. Maeder, Flinders Univ. (Australia); Maciej A. Mazurowski, Duke Univ. (USA); Mark F. McEntee, The Univ. of Sydney (Australia); Claudia R. Mello-Thoms, The Univ. of Sydney (Australia), Univ. of Pittsburgh (USA); Ljiljana Platiša, Univ. Gent (Belgium); Ingrid S. Reiser, The Univ. of Chicago (USA); Frank W. Samuelson, U.S. Food and Drug Administration (USA); Sian Taylor-Phillips, The Univ. of Warwick (United Kingdom); Pontus A. Timberg, Scanias Univ. Hospital (Sweden); David L. Wilson, Case Western Reserve Univ. (USA)


LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . .SUN 8:00 AM TO 9:40 AM

Keynote & Perception in Breast ImagingSession Chairs: Matthew A. Kupinski, College of Optical Sciences, The Univ. of Arizona (USA); Robert M. Nishikawa, Univ. of Pittsburgh (USA)

8:00 am: Perception in multi-modality breast imaging: a radiologist’s perspective (Kyenote Presentation), Margarita L. Zuley, Univ. of Pittsburgh (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-1]

9:00 am: The effect of prevalence of disease on performance of residents and fellows during training for interpreting digital breast tomosynthesis (DBT) in a test-train-test observer study, Christiane M. Hakim, Magee-Womens Hospital (USA); Lauren Chang Sen, Andrew Degnan, Joseph Delic, Sarah Pai, Hersh Sagreiya, Mark C. Sparrow, Ernestine Thomas, Michael Yannes, Univ. of Pittsburgh Medical Ctr. (USA); David Gur, Univ. of Pittsburgh (USA) . . . . [10136-2]

9:20 am: The implementation of an AR (augmented reality) approach to support mammographic interpretation training - an initial feasibility study, Qiang Tang, Yan Chen, Alastair G. Gale, Loughborough Univ. (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-3]


SESSION 2LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . SUN 10:10 AM TO 12:10 PM

Radiologists’ PerformanceSession Chairs: Alastair G. Gale, Loughborough Univ. (United Kingdom);

Stephen L. Hillis, The Univ. of Iowa (USA)

10:10 am: Does fatigue have any impact on satisfaction of search?, Elizabeth A. Krupinski, Emory Univ. School of Medicine (USA); Kevin M. Schartz, Robert T. Caldwell, Kevin S. Berbaum, The Univ. of Iowa (USA) . . . . . . . [10136-4]

10:30 am: A model based on temporal dynamics of fixations for distinguishing expert radiologists’ scanpaths, Ziba Gandomkar, The Univ. of Sydney (Australia); Kevin Tay, Prince of Wales Hospital (Australia); Claudia R. Mello-Thoms, Patrick C. Brennan, The Univ. of Sydney (Australia) . . . . . [10136-5]

10:50 am: On image texture parameters in digital breast tomosynthesis and their influence in detection tasks, William H. Nissbett, Sakshi Rajpal, Nathaniel R. Fredette, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . [10136-6]

11:10 am: Visual assessment of breast density: intra- and inter-observer variability in visual analogue scale scores and factors that may influence this, Teri Ang, The Univ. of Manchester (United Kingdom); Anthony J. Maxwell, Univ. Hospital of South Manchester (United Kingdom) and Ctr. for Imaging Sciences, Institute of Population Health, The Univ. of Manchester (United Kingdom); Yit Y. Lim, Univ. Hospital of South Manchester (United Kingdom); Elaine F. Harkness, Univ. Hospital of South Manchester (United Kingdom) and Ctr. for Imaging Sciences, Institute of Population Health, The Univ. of Manchester (United Kingdom); Richard Emsley, Ctr. for Biostatistics, Institute of Population Health, The Univ. of Manchester (United Kingdom); Susan M. Astley, Univ. Hospital of South Manchester (United Kingdom) and Ctr. for Imaging Sciences, Institute of Population Health, The Univ. of Manchester (United Kingdom); Soujanya Gadde, Univ. Hospital of South Manchester (United Kingdom) [10136-7]

11:30 am: Development of a discordant likelihood metrics for use in evaluation of ‘double reviewer’ performance in blinded independent central review (BICR) RECIST imaging studies, J. Michael O’Connor, Univ. of Massachusetts Medical School (USA) and PAREXEL International Corp. (USA); Manish Sharma, Anitha Singareddy, PAREXEL International Corp. (India); Annette Schmid, PAREXEL International Corp. (USA) . . . . . . . . . . . . . . . . . . . . . . [10136-8]

11:50 am: Impact of different study populations on reader behavior and performance metrics: initial results, Brandon D. Gallas, U.S. Food and Drug Administration (USA); Etta Pisano, Beth Israel Deaconess Medical Ctr. (USA) and Harvard Medical School (USA); Elodia B. Cole, Beth Israel Deaconess Medical Ctr. (USA); Kyle J. Myers, U.S. Food and Drug Administration (USA) . . . [10136-9]

SUNDAY/MONDAY POSTER VIEWING LOCATION: OCEANS BALLROOM . . . . . . . . . . 12:00 PM TO 9:00 PM



SESSION 3LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . .SUN 1:20 PM TO 3:00 PM

Observer Performance in MammographySession Chairs: Maciej A. Mazurowski, Duke Univ. (USA);

Elizabeth A. Krupinski, Emory Univ. School of Medicine (USA)

1:20 pm: Does time of day influence cancer detection and recall rates in mammography?, Chris Stinton, David Jenkinson, Victor Adekanmbi, Aileen Clarke, Sian Taylor-Phillips, The Univ. of Warwick (United Kingdom) . . [10136-10]

1:40 pm: Changing behaviour and accuracy with time on task in mammography screening, Sian Taylor-Phillips, David Jenkinson, Chris Stinton, The Univ. of Warwick (United Kingdom); Matthew Wallis, Addenbrooke’s Hospital (United Kingdom); Aileen Clarke, The Univ. of Warwick (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-11]

2:00 pm: How quickly do breast screeners learn their skills?, Hossein Nevisi, Yan Chen, Leng Dong, Alastair G. Gale, Loughborough Univ. (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-12]

2:20 pm: The role of extra-foveal processing in 3D imaging, Miguel P. Eckstein, Miguel Angel Lago Angel, Craig K. Abbey, Univ. of California, Santa Barbara (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-13]

2:40 pm: Applying a social network analysis (SNA) approach to understanding radiologists’ performance in reading mammograms, Seyedamir Tavakoli Taba, The Univ. of Sydney (Australia); Liaquat Hossain, The Univ. of Hong Kong (Hong Kong, China); Robert Heard, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis, The Univ. of Sydney (Australia) . . . . . . [10136-14]



SESSION 4LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . .SUN 3:30 PM TO 5:30 PM

Technology Assessment - MethodologySession Chairs: Brandon D. Gallas, U.S. Food and Drug Administration

(USA); Jongduk Baek, Yonsei Univ. (Korea, Republic of)

3:30 pm: Comparison of two classifiers when the data sets are imbalanced: the power of area under the precision-recall curve as the figure of merit versus the area under the ROC curve, Berkman Sahiner, Weijie Chen, Aria X. Pezeshk, Nicholas A. Petrick, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-15]

3:50 pm: Re-use of pilot data and interim analysisp of pivotal data in MRMC studies: a simulation study, Weijie Chen, Frank W. Samuelson, Berkman Sahiner, Nicholas A. Petrick, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-16]

4:10 pm: Exploring the potential of analyse visual search behaviour data using FROC (free-response receiver operating characteristic) method: an initial study, Leng Dong, Yan Chen, Alastair G. Gale, Loughborough Univ. (United Kingdom); Sarah Dias, William Stone, The Univ. of Birmingham (United Kingdom); Joseph Dias, Univ. of Leicester (United Kingdom); John Rout, Birmingham Dental Hospital (United Kingdom) . . . . . . . . . . . . . . . . . . . . [10136-17]

4:30 pm: A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom, Maria Angelica Z. Sousa, Univ. de São Paulo (Brazil); Predrag R. Bakic, The Univ. of Pennsylvania Health System (USA); Homero Schiabel, Univ. de São Paulo (Brazil); Andrew D. A. Maidment Sr., The Univ. of Pennsylvania Health System (USA) . . . . . . . [10136-18]

4:50 pm: Regression without truth with Markov chain Monte-Carlo, Hennadii Madan, Franjo Pernuš, Žiga Špiclin, Univ. of Ljubljana (Slovenia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-19]

5:10 pm: No-gold-standard evaluation of image-acquisition methods using patient data, Abhinav K. Jha, Eric C. Frey, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-20]

WORKSHOPLOCATION: OCEANS 2 . . . . . . . . . . . . . . . . .SUN 5:45 PM TO 7:45 PM

Virtual Clinical Trials for Breast ImagingThe workshop on Virtual Clinical Trials (VCT) will examine ongoing efforts and challenges in developing computational tools that may be able to support clinical trials. We will address outstanding questions with a focus on breast imaging applications. The panel will examine topics such as phantom and task realism (to emulate an ensemble of patients), the need for rigorous imaging physics tools, reliable and computationally efficient mathematical model observers, industry and FDA perspective. Speakers will address how they incorporate various aspects of perception in the VCT simulation chain. The presentations will be followed by a panel discussion and time for questions from the audience.

Speakers and Panelists: Mini Das, Univ. of Houston, - Introduction and Open Challenges in VCT

Stephen J. Glick, U.S. Food and Drug Administration, Advances in Phantom Models

Kenneth C. Young, Royal Surrey County Hospital, Optimam and Update from Europe

Howard C. Gifford, Univ. of Houston, Toward Computationally Efficient Model Observers

Thomas Mertelmeier, Siemens, - Industry Perspective on VCT Kyle J. Myers, U.S. Food and Drug Administration, - FDA Perspective


LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

Model ObserversSession Chairs: Howard C. Gifford, Univ. of Houston (USA);

François O. Bochud, Ctr. Hospitalier Univ. Vaudois (Switzerland)

8:00 am: Signal template generation from acquired images for the

non-prewhitening model observer with eye-filter, Christiana Balta, Radboud Univ. Medical Ctr. (Netherlands) and LRCB (Netherlands); Ramona W. Bouwman, Ioannis Sechopoulos, Mireille J. M. Broeders, Nico Karssemeijer, Ruben E. van Engen, Radboud Univ. Medical Ctr. (Netherlands); Wouter J. H. Veldkamp, Leiden Univ. Medical Ctr. (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . [10136-21]

8:20 am: Real space channelization for generic DBT system image quality evaluation with channelized Hotelling observer, Dimitar Petrov, Lesley Cockmartin, Nicholas W. Marshall, UZ Leuven (Belgium); Kenneth C. Young, The Royal Surrey County Hospital NHS Trust (United Kingdom); Liesbeth Vancoillie, KU Leuven (Belgium); Hilde Bosmans, UZ Leuven (Belgium) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-22]

8:40 am: An observer model for quantifying panning artifacts in digital pathology, Ali R. N. Avanaki, Barco Healthcare (USA) . . . . . . . . . . . . . . [10136-23]

9:00 am: Foveated model observers to predict human performance in 3D images, Miguel A. Lago , Craig K. Abbey, Miguel P. Eckstein, Univ. of California, Santa Barbara (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-24]

9:20 am: Evaluation of CNN as anthropomorphic model observer, Francesc Massanes, Jovan G. Brankov, Illinois Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-25]


SESSION 6LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

Technology Assessment - ApplicationsSession Chairs: Jovan G. Brankov, Illinois Institute of Technology (USA);

Pontus A. Timberg, Scanias Univ. Hospital (Sweden)

10:10 am: Interpretation of the rainbow color scale for quantitative medical imaging: perceptually linear color calibration (CSDF) versus sRGB, Frédérique Chesterman, Céline Morel, Guillaume Serrell, Bastian Piepers, Tom R. L. Kimpe, Barco N.V. (Belgium) . . . . . . . . . . . . . . . . . . . . . . . . . [10136-26]

10:30 am: Low contrast detection in anatomical and uniform backgrounds in abdominal CT, Alexandre H. Ba, Anaïs Viry, Damien Racine, Institut de Radiophysique, Ctr. Hospitalier Univ. Vaudois (Switzerland); Sabine Kobbe-Schmidt, Ctr. Hospitalier Univ. Vaudois (Switzerland); Francis R. Verdun, François O. Bochud, Institut de Radiophysique, Ctr. Hospitalier Univ. Vaudois (Switzerland) [10136-27]

10:50 am: Effects of increased compression with an ultrasound transducer on the conspicuity of breast lesions in a phantom, Katy Szczepura, Tahreem Faqir, David J. Manning, Univ. of Salford (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-28]

11:10 am: Assessment of the automatic exposure control performance in digital mammography using a no-reference anisotropic quality index, Bruno Barufaldi, Univ. of Pennsylvania (USA) and Univ. de São Paulo (Brazil); Lucas R. Borges, Univ. de São Paulo (Brazil); Predrag R. Bakic, Univ. of Pennsylvania (USA); Marcelo A. C. Vieira, Homero Schiabel, Univ. de São Paulo (Brazil); Andrew D. A. Maidment Sr., Univ. of Pennsylvania (USA) . . . . . [10136-29]

11:30 am: Digital breast tomosynthesis for detecting multifocal and multicentric breast cancer: influence of acquisition geometry on model observer performance in breast phantom images, Gezheng Wen, The Univ. of Texas at Austin (USA) and The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Subok Park, U.S. Food and Drug Administration (USA); Mia K. Markey, The Univ. of Texas at Austin (USA) and The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-30]

11:50 am: Lesion detectability in stereoscopically viewed digital breast tomosynthesis projection images: a model observer study with anthropomorphic computational breast phantoms, Jacob Reinhold, The Univ. of Texas at Austin (USA); Gezheng Wen, The Univ. of Texas at Austin (USA) and The Univ. of Texas M.D. Anderson Cancer Ctr. (USA); Joseph Y. Lo, Duke Univ. (USA); Mia K. Markey, The Univ. of Texas at Austin (USA) and The Univ. of Texas M.D. Anderson Cancer Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-31]


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SESSION 7LOCATION: CRYSTAL D . . . . . . . . . . . . . . . . . . . . MON 1:20 PM TO 3:40 PM

Joint Session with MI101 and MI105

Task-based Assessment in CTSession Chair: Ingrid S. Reiser, The Univ. of Chicago (USA)

1:20 pm: Development of local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging, Justin B. Solomon, Geoffrey D. Rubin, Taylor B. Smith, Brian Harrawood, Kingshuk R. Choudhury, Ehsan Samei, Duke Health (USA) . . . . . . . . . . [10136-32]

1:40 pm: Task-based image quality assessment in radiation therapy: initial characterization and demonstration with CT simulation images, Steven Dolly, Mark A. Anastasio, Washington Univ. in St. Louis (USA); Lifeng Yu, Mayo Clinic (USA); Hua Li, Washington Univ. in St. Louis (USA) . . . . . . [10136-33]

2:00 pm: Task-based data-acquisition optimization for sparse image reconstruction systems, Yujia Chen, Yang Lou, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-34]

2:20 pm: Dependence of quantitative accuracy of CT perfusion imaging on system parameters: A four-dimensional cascaded systems analysis, Ke Li, Guang-Hong Chen, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-12]

2:40 pm: Joint optimization of fluene field modulation and regularization in task-driven computed tomography, Grace J. Gang, Jeffrey H. Siewerdsen, Joseph W. Stayman, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . [10132-13]

3:00 pm: Pushing the boundaries of diagnostic CT systems for high spatial resolution imaging tasks, Juan Pablo Cruz-Bastida, Daniel Gomez-Cardona, John W. Garrett, Univ. of Wisconsin School of Medicine and Public Health (USA); Timothy P. Szczykutowicz, Univ. of Wisconsin-Madison (USA) and Univ. of Wisconsin School of Medicine and Public Health (USA); Guang-Hong Chen, Ke Li, Univ. of Wisconsin School of Medicine and Public Health (USA) . . . . . . [10132-14]

3:20 pm: Practical implementation of CHOs effect of ROI size, Andrea Ferrero, Christopher P. Favazza, Lifeng Yu, Shuai Leng, Cynthia H. McCollough, Mayo Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10132-15]

POSTER AWARD ANNOUNCEMENTSLOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . .3:40 PM TO 3:45 PM

The Image Perception, Observer Performance, and Technology Assessment conference poster award recipients will be recognized and certificates distributed.










Posters for this conference will be on display Sunday and Monday. The poster session with authors in attendance will be on Monday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Monday afternoon.

POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . . MON 5:30 PM TO 7:00 PM

Model ObserversInconsistencies between the ideal observer and the human observers in imaging system optimization: a falsifiable image quality assessment perspective, Xin He, (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-35]

Exploring conditions for the human and the ideal observer ranking consistency: a falsifiable image quality assessment approach, Xin He, (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-36]

Visual-search models for location-known detection tasks, Howard C. Gifford, Zohreh Karbaschi, Kheya Banerjee, Mini Das, Univ. of Houston (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-37]

Visual-search model observer for assessing mass detection in CT, Zohreh Karbaschi, Howard C. Gifford, Univ. of Houston (USA) . . . . . . . [10136-38]

Image PerceptionHologram placement and stability evaluation for Microsoft HoloLens, Reid Vassallo, Adam Rankin, Elvis C. S. Chen, Terry M. Peters, Robarts Research Institute (Canada), Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . [10136-39]

Perceived image quality for autostereoscopic holograms in healthcare training, Brian F. Goldiez, William Aubrey, Univ. of Central Florida (USA); Matthew Hackett, U.S Army Research Lab. (USA) . . . . . . . . . . . . . . . . . [10136-40]

Analyzing free-response data on location level, Andriy I. Bandos, Nancy A. Obuchowski, Univ. of Pittsubrgh, (USA) . . . . . . . . . . . . . . . . . [10136-88]

Technology Assessment - GeneralColorimetric calibration of wound photography with off-the-shelf devices, Subhankar Bala, National Institute of Technology, Warangal (India); Ekaterina Sirazitdinova, Thomas M. Deserno, Uniklinik RWTH Aachen (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-41]

Color image enhancement of medical images using alpha-rooting and zonal alpha-rooting methods on 2D-QDFT, Aparna John, Artyom M. Grigoryan, The Univ. of Texas at San Antonio (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10136-42]

Do quantitative metrics derived from standard fluoroscopy phantoms used for quality control assess vendor-specific advancements in interventional fluoroscopy systems?, Mark A. Forsberg, Thomas Jefferson Univ. (USA); Prakruti A. Talreja, Thomas Jefferson Univ. (USA) and Drexel Univ. (USA); Jaydev K. Dave, David J. Eschelman, Thomas Jefferson Univ. (USA) . . [10136-43]

Technology Assessment in Volume Imaging

Impact of tube current modulation on lesion conspicuity index in hi-resolution chest computed tomography, Katy Szczepura, David Tomkinson, David J. Mannning, Univ. of Salford (United Kingdom) . . . . . . . . . . . . . . [10136-44]

Hounsfield unit inaccuracy in computed tomography: lesion size and density, diagnostic quality vs. attenuation correction, Katy Szczepura, John D. Thompson, David J. Manning, Univ. of Salford (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-45]

Characterization of two CT units for the detection of low contrast structures, Anais Viry, Damien Racine, Alexandre H. Ba, Institut de Radiophysique, Ctr. Hospitalier Univ. Vaudois (Switzerland); Fabio Becce, Ctr. Hospitalier Univ. Vaudois (Switzerland); François O. Bochud, Francis R. Verdun, Institut de Radiophysique, Ctr. Hospitalier Univ. Vaudois (Switzerland) . . . . . . . . . [10136-46]

Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds, Minah Han, Jongduk Baek, Yonsei Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-47]

A phantom design and assessment of lesion detectability in PET imaging, Scott D. Wollenweber, GE Healthcare (USA); Adam M. Alessio, Paul E. Kinahan, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-48]

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Fractal dimension metric for quantifying noise texture of computed tomography images, Parag Khobragade, Marquette Univ. (USA); Jiahua Fan, Franco Rupcich, Dominic Crotty, GE Healthcare (USA); Taly Gilat-Schmidt, Marquette Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-49]

Effects of window width and window level adjustment on the detectability index in computed tomography images, Parag Khobragade, Marquette Univ. (USA); Jiahua Fan, Franco Rupcich, Dominic Crotty, GE Healthcare (USA); Taly Gilat-Schmidt, Marquette Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . [10136-50]

An interactive, stereoscopic virtual environment for medical imaging visualization, simulation and training, Erik Messier, Evan Krueger, Gabriel Diaz, Cristian A. Linte, Rochester Institute of Technology (USA) . . . . . . . . . . . [10136-51]

A new method to quantify fiber orientation similarity in registered volumes, James D. Dormer, Georgia Institute of Technology (USA); Rong Jiang, Mary B. Wagner, Emory Univ. (USA); Baowei Fei, Emory Univ. (USA) and Georgia Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-52]

Image Perception and Technology Assessment in Breast Imaging

Automatic breast tissue density estimation scheme in digital mammography images, Renan C. Menechelli, Ana Luisa V. Pacheco, Homero Schiabel, Escola de Engenharia de São Carlos (Brazil) . . . . . . . . . . . . . . . . . . . . . [10136-53]

Characterization of breast density in Vietnam and its association with demographic, reproductive and lifestyle factors, Phuong Dung (Yun) Trieu, Claudia R. Mello-Thoms, Jenny Peat, Patrick C. Brennan, The Univ. of Sydney (Australia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10136-54]

The development and testing of a unique and flexible training module for residents and fellows using digital breast tomosythesis (DBT), Christiane M. Hakim, Magee-Womens Hospital (USA); John M. Drescher, Jill L. King, Durwin N. Logue, Amy H. Klym, David Gur, Univ. of Pittsburgh (USA) . . . . . . . . . . [10136-55]

Developing a visual sensitive image Features based CAD scheme to assist classification of mammographic masses, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . [10136-56]

Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?, Michael R. Harowicz, Jeffrey Marks, P. Kelly Marcom, Duke Univ. School of Medicine (USA); Maciej A. Mazurowski, Duke Univ. School of Engineering (USA) . . . . . . . . . . . . . . [10136-57]

Statistical aspects of radiogenomics: Can radiogenomics models be used to aid prediction of outcomes in cancer patients?, Boya Ren, Maciej A. Mazurowski, Duke Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10136-58]

Evaluation of an interactive CAD scheme of mammograms for short-term breast cancer risk stratification, Faranak Aghaei, The Univ. of Oklahoma (USA); Alan B. Hollingsworth, Mercy Women’s Ctr. (USA); Yunzhi Wang, Yuchen Qiu, Hong Liu, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . [10136-59]

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CONFERENCE 10137Sunday–Tuesday 12–14 February 2017 • Proceedings of SPIE Vol. 10137

Biomedical Applications in Molecular, Structural, and Functional ImagingConference Chairs: Andrzej Krol, SUNY Upstate Medical Univ. (USA); Barjor Gimi, Geisel School of Medicine at Dartmouth (USA)

Program Committee: Amir A. Amini, Univ. of Louisville (USA); Juan R. Cebral, George Mason Univ. (USA); Alejandro F. Frangi, The Univ. of Sheffield (United Kingdom); Xavier Intes, Rensselaer Polytechnic Institute (USA); Vikram Kodibagkar, Arizona State Univ. (USA); Changqing Li, Univ. of California, Merced (USA); Armando Manduca, Mayo Clinic College of Medicine (USA); Robert C. Molthen, GE Healthcare (USA), Marquette Univ. (USA), Medical College of Wisconsin (USA); Nicholas J. Tustison, Univ. of Virginia (USA); John B. Weaver, Dartmouth Hitchcock Medical Ctr. (USA); Axel Wismüller, Univ. of Rochester Medical Ctr. (USA); Baohong Yuan, The Univ. of Texas at Arlington (USA)


LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . .SUN 8:00 AM TO 9:40 AM

OpticalSession Chairs: Xavier Intes, Rensselaer Polytechnic Institute (USA);

Baohong Yuan, The Univ. of Texas at Arlington (USA)

8:00 am: Evaluation of the anti-neoplastic effect of sorafenib on liver cancer through bioluminescence tomography, Qian Liang, Jinzuo Ye, Chongwei Chi, Yang Du, Jie Tian, Institute of Automation (China) . . . . . . . . . . . . . . . . . . [10137-1]

8:20 am: Enhanced imaging resolution in dynamic fluorescence molecular tomography by multispectral excitation method, Maomao Chen, Yuan Zhou, Han Su, Dong Zhang, Tsinghua Univ. (China); Jianwen Luo, Tsinghua Univ. School of Medicine (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-2]

8:40 am: X-ray luminescence computed tomography: a sensitivity study, Michael C. Lun, Wei Zhang, Changqing Li, Univ. of California, Merced (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-3]

9:00 am: A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging, Abhinav K. Jha, Yansong Zhu, Dean F. Wong, Arman Rahmim, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-4]

9:20 am: Image deblurring using a joint entropy prior in x-ray luminescence computed tomography, Chang Su, Tsinghua Univ. (China) . . . . . . . . . . [10137-5]


SESSION 2LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . SUN 10:10 AM TO 12:10 PM

PulmonarySession Chairs: Amir A. Amini, Univ. of Louisville (USA);

Nicholas J. Tustison, Univ. of Virginia (USA)

10:10 am: An image acquisition and segmentation framework for simulations of swimming behavior in tadpoles with vestibular alterations, Kasra Zarei, Bernd Fritzsch, James Buchholz, The Univ. of Iowa (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-6]

10:30 am: Automated boundary segmentation and wound analysis for longitudinal corneal OCT images, Fei Wang, Fei Shi, Soochow Univ. (China); Haoyu Chen, Joint Shantou International Eye Ctr. of Shantou Univ. and the Chinese Univ. of Hong Kong (China); Xinjian Chen, Soochow Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-7]

10:50 am: Characterizing the lung tissue mechanical properties using a micromechanical model of alveolar sac, Elham Karami, Western Univ. (Canada) and Robarts Research Institute (Canada); Behzad Seify, Amirkabir Univ. of Technology (Iran, Islamic Republic of); Hadi Moghadas, Isfahan Univ. of Technology (Iran, Islamic Republic of); Masoomeh Sabsalinejad, National Institute of Genetic Engineering and Biotechnology (Iran, Islamic Republic of); Ting-Yim Lee, Robarts Research Institute (Canada) and Western Univ. (Canada); Abbas Samani, Western Univ. (Canada) and Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-8]

11:10 am: Registration pipeline for pulmonary free-breathing 1H MRI ventilation measurements, Fumin Guo, Dante P. I. Capaldi, Robert D. Cesare, Aaron Fenster, Grace Parraga, Robarts Research Institute (Canada). . . . [10137-9]

11:30 am: Development of a Semi-Automated Combined PET and CT Lung Lesion Segmentation Framework, Ashrani Aizzuddin Abd. Rahni, Univ. Kebangsaan Malaysia (Malaysia) . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-10]

11:50 am: Algorithmic evaluation of lower jawbone segmentations, Jan Egger, Technische Univ. Graz (Austria) and BioTechMed (Austria); Kerstin M. Hochegger, Markus Gall, Technische Univ. Graz (Austria); Xiaojun Chen, Shanghai Jiao Tong Univ. (China); Knut Reinbacher, Katja Schwenzer-Zimmerer, Medizinischen Univ. Graz (Austria); Dieter Schmalstieg, Technische Univ. Graz (Austria); Jürgen Wallner, Medizinischen Univ. Graz (Austria) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-11]




SESSION 3LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . SUN 1:20 PM TO 3:00 PM

KeynoteSession Chairs: Andrzej Krol, SUNY Upstate Medical Univ. (USA);

Barjor Gimi, Dartmouth Hitchcock Medical Ctr. (USA)

1:20 pm: Advances in neuroimaging (Keynote Presentation), Bruce Rosen, Massachusetts General Hospital (USA) . . . . . . . . . . . . . . . . . . . . . [10137-12]


SESSION 4LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . . SUN 3:30 PM TO 4:50 PM

Bone, Skeletal Imaging, and BiomechanicsSession Chairs: Axel Wismüller, Univ. of Rochester Medical Ctr. (USA);

Alejandro F. Frangi, The Univ. of Sheffield (United Kingdom)

3:30 pm: Atlas-based automatic measurements of the morphology of the tibiofemoral joint, Michael Brehler, Gaurav Thawait, William Shyr, Johns Hopkins Univ. (USA); John Ramsay, U.S. Army Natick Soldier Research, Development and Engineering Ctr. (USA); Jeffrey H. Siewerdsen, Wojciech Zbijewski, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-13]

3:50 pm: Real-time live-cell microscopy during high-frequency mechanostimulation, Daniel Lorusso, Hristo N. Nikolov, Jaques Milner, Ryan Beach, Stephen M. Sims, Samuel J. Dixon, David W. Holdsworth, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-14]

4:10 pm: A novel micro-to-macro structural approach for mechanical characterization of adipose tissue, Behzad Seyfi, Amirkabir Univ. of Technology (Iran, Islamic Republic of); Masoumeh Sabzalinejad, National Institute of Genetic Engineering and Biotechnology (Iran, Islamic Republic of); Seyed Haddad, Western Univ. (Canada); Nasser Fatouraee, Amirkabir Univ. of Technology (Iran, Islamic Republic of); Abbas Samani, Western Univ. (Canada) . . . . . . . . [10137-15]

4:30 pm: Anatomical based registration of multi-sector x-ray images for long limb panorama generation, Yehuda K. Ben Zikri, Rochester Institute of Technology (USA); Stacy Mendez, Fairfield Univ. (USA); Cristian A. Linte, Rochester Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10137-16]



LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

Fluid and CardiovascularSession Chairs: Amir A. Amini, Univ. of Louisville (USA);


8:00 am: Use of patient specific 3D printed neurovascular phantoms to evaluate the clinical utility of a high resolution x-ray imager., Swetadri Vasan Setlur Nagesh, Megan K. Russ, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin, Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . [10137-17]

8:20 am: Blood flow measurement using 2D digital subtraction angiographic images for assessing hemodialysis access function, Nischal Koirala, Cleveland State Univ. (USA) and The Cleveland Clinic (USA); Randolph M. Setser, Siemens Healthineers (USA); Jennifer Bullen, Gordon McLennan, The Cleveland Clinic (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-18]

8:40 am: Brain vessels segmentation for light-sheet microscopy image using convolutional neural networks, Chaoen Hu, Hui Hui, Shuo Wang, Di Dong, Key Lab. of Molecular Imaging, Institute of Automation (China); Xia Liu, School of Automation, Harbin Univ. of Science and Technology (China); Xin Yang, Jie Tian, Key Lab. of Molecular Imaging, Institute of Automation (China) . . . . . . . [10137-19]

9:00 am: Real-time myocardium segmentation for the assessment of cardiac function variation, Fabian Zöhrer, Fraunhofer MEVIS (Germany) . . . . . [10137-20]

9:20 am: Extracellular matrix directions estimation of the heart on micro-focus x-ray CT volumes, Hirohisa Oda, Masahiro Oda, Nagoya Univ. (Japan); Takayuki Kitasaka, Aichi Institute of Technology (Japan); Toshiaki Akita, Kanazawa Medical Univ. (Japan); Kensaku Mori, Nagoya Univ. (Japan) [10137-21]


SESSION 6LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

Neurological Imaging ISession Chairs: Axel Wismüller, Univ. of Rochester Medical Ctr. (USA);

Nicholas J. Tustison, Univ. of Virginia (USA)

10:10 am: Identifying cognitive impairment in type 2 diabetes with functional connectivity: a multivariate pattern analysis of resting state fMRI data, Jie Tian, Zhenyu Liu, Institute of Automation (China); Xinwei Cui, Zhengzhou Univ. (China); Zhenchao Tang, Shandong Univ. at Weihai (China); Di Dong, Yali Zang, Institute of Automation (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-22]

10:30 am: Brain structure in sagittal craniosynostosis, Beatriz Paniagua, Sun Hyung Kim, Mahmoud Mostapha, Martin A. Styner, Heather Hazlett, Rachel Smith, The Univ. of North Carolina at Chapel Hill (USA); Ashley Rumple, The Univ. of North Carolina at Chapel Hill School of Medicine (USA); Joseph Piven, John Gilmore, The Univ. of North Carolina at Chapel Hill (USA); Gary Skolnick, Kamlesh Patel, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-23]

10:50 am: A multivariate pattern analysis study of the HIV-related white matter anatomical structural connections alterations, Jie Tian, Institute of Automation (China); Zhenchao Tang, Shandong Univ. at Weihai (China); Zhenyu Liu, Institute of Automation (China); Ruili Li, Beijing YouAn Hospital, Capital Medical Univ. (China); Xinwei Cui, Zhengzhou Univ. (China); Hongjun Li, Beijing YouAn Hospital, Capital Medical Univ. (China); Enqing Dong, Shandong Univ. at Weihai (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-24]

11:10 am: Decreased triple network connectivity in patients with post-traumatic stress disorder, Yang Liu, Liang Li, Baojuan Li, Xi Zhang, Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . [10137-25]

11:30 am: CIVILITY: cloud based interactive visualization of tractography brain connectome, Juan C. Prieto, Danaele Puechmaille, Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . [10137-26]

11:50 am: Ex vivo tissue imaging of human glioblastoma using a small bore 7T MRI and correlation with digital pathology and proteomics profiling by multiplex tissue immunoblotting., Kant Matsuda, Univ. of Manitoba (Canada) and Diagnostic Services of Manitoba, Health Sciences Ctr. Winnipeg (Canada); Ana Lopes-Calcas, Univ. of Manitoba (Canada); Thalia Magyar, Zoe O’Brien-Moran, The Univ. of Winnipeg (Canada); Richard Buist, Univ. of Manitoba (Canada); Melanie Martin, The Univ. of Winnipeg (Canada) and Univ. of Manitoba (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-27]


SESSION 7LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . . MON 1:20 PM TO 3:40 PM

Innovations in Image Processing ISession Chairs: Armando Manduca, Mayo Clinic (USA);


1:20 pm: A fast image registration approach of neural activities in light-sheet fluorescence microcopy images, Hui Meng, Hui Hui, Key Lab. of Molecular Imaging, Institute of Automation (China); Chaoen Hu, Xin Yang, Jie Tian, Key Lab. of Molecular Imaging, Institute of Automation (China) . . . . . . . . . . . . . . [10137-28]

1:40 pm: Phenotypic feature quantification of patient derived 3D cancer spheroids in fluorescence microscopy image, Mi-Sun Kang, Ewha Womans Univ. (Korea, Republic of); Seon-Min Rhee, Samsung Advanced Institute of Technology (Korea, Republic of); Myoung-Hee Kim, Ewha Womans Univ. (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-29]

2:00 pm: Disease quantification on PET/CT images without object delineation, Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Univ. of Pennsylvania School of Medicine (USA); Danielle Fitzpatrick, Nicole Winchell, Stephen J. Schuster, Abramson Cancer Ctr., Perelman Ctr. for Advanced Medicine, Univ. of Pennsylvania (USA); Drew A. Torigian, Univ. of Pennsylvania School of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-30]

2:20 pm: An automatic cells detection and segmentation, Ligong Han, Ngan T. Le, Marios Savvides, Carnegie Mellon Univ. (USA) . . . . . . . . . . [10137-31]

2:40 pm: Partial volume morphology: eliminating precision loss in binary morphology, Joshua D. Warner, Mayo Clinic (USA) . . . . . . . . . . . . . . . [10137-32]

3:00 pm: Multi-frame Super Resolution Robust to Local and Global Motion, Zhengping Ji, SAMSUNG Semiconductor, Inc (USA); Qiang Zhang, Lilong Shi, Ilia Ovsiannikov, SAMSUNG Semiconductor, Inc. (USA) . . . . . . . . . . . . [10137-33]

3:20 pm: An intelligent despeckling method for swept source optical coherence tomography images of skin, Saba Adabi, Wayne State Univ. (USA) and Univ. degli Studi di Roma Tre (Italy); Hamed Mohebbi, Sharif Univ. of Technology (Iran, Islamic Republic of); Silvia Conforto, Univ. degli Studi di Roma Tre (Italy); Mohammadreza Nasiriavanaki, Wayne State Univ. (USA) . . . [10137-34]










Posters for this conference will be on display Sunday and Monday. The poster session with authors in attendance will be on Monday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Tuesday afternoon.

POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . . MON 5:30 PM TO 7:00 PM

OpticalSpatially varying regularization based on retrieved support in diffuse optical tomography, Sohail Sabir, Sanghoon Cho, Seunryong Cho, KAIST (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-55]

Low-intensity calibration source for optical imaging systems, David W. Holdsworth, Robarts Research Institute (Canada) . . . . . . . . . [10137-56]

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Improving graph-based OCT segmentation for severe pathology in retinitis pigmentosa patients, Andrew Lang, Aaron Carass, Johns Hopkins Univ. (USA); Ava Bittner, Nova Southeastern Univ. (USA); Howard S. Ying, Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-57]

Anatomic optical coherence tomography for dynamic imaging of the upper airway, Ruofei Bu, Santosh Balakrishnan, The Univ. of North Carolina at Chapel Hill (USA); Nicusor V. Iftimia, Physical Sciences Inc. (USA); Hillel B. Price, Carlton J. Zdanski, Amy L. Oldenburg, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-58]

Simulation of photoacoustic tomography (PAT) system in COMSOL(R) and comparison of two popular reconstruction techniques, Sowmiya Chandramoorthi, Arun K. Thittai, Indian Institute of Technology Madras (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-59]

PulmonaryAutomatic segmentation of vessels in in-vivo ultrasound scans, Andreas Brink-Kjær, Philip Tamimi-Sarnikowski, Ramin Moshavegh, Jørgen A. Jensen, Technical Univ. of Denmark (Denmark) . . . . . . . . . . . . . . . . . . . [10137-60]

Computerized method to compensate a breathing body motion in dynamic chest radiographs, Hirokai Matsuda, Rie Tanaka, Shigeru Sanada, Kanazawa Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-61]

Time-series analysis of the lung texture on bone-suppressed dynamic chest radiography for the evaluation of pulmonary function: a preliminary study, Rie Tanaka, Akihiro Matsuda, Shigeru Sanada, Kanazawa Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-62]

Extraction of membrane structure in eyeball from MR volumes, Masahiro Oda, Nagoya Univ. (Japan); Kin Taichi, The Univ. of Tokyo (Japan); Kensaku Mori, Nagoya Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-63]

Bone, Skeletal Imaging, and BiomechanicsRobust segmentation of trabecular bone for in vivo CT imaging using anisotropic diffusion and multi-scale morphological reconstruction, Cheng Chen, Dakai Jin, Xiaoliu Zhang, Steven Levy, Punam K. Saha, The Univ. of Iowa (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-64]

Direct biomechanical modeling of trabecular bone using a nonlinear manifold-based volumetric representation, Dakai Jin, Jia Lu, Erwei Bai, Xiaoliu Zhang, Punam K. Saha, The Univ. of Iowa (USA) . . . . . . . . . . . . . . . . . . [10137-65]

Fluid and CardiovascularSubject-specific left ventricle biomechanical model using composite material mechanics approach, Seyyed Mohammad Hassan Haddad, Abbas Samani, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-66]

Nonrigid 2D registration of whole fluoroscopic coronary artery image sequence with periodic deformation field, Taewoo Park, Hankuk Univ. of Foreign Studies (Korea, Republic of); Seung Yeon Shin, Seoul National Univ. (Korea, Republic of); Soochahn Lee, Soonchunhyang Univ. (Korea, Republic of); Hoyup Jung, IL Dong Yun, Hankuk Univ. of Foreign Studies (Korea, Republic of) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-67]

Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effects, Ali Zarafshani, The Univ. of Oklahoma (USA) and Univ. of Sussex (United Kingdom); Thomas Bach, Sensatech Research Ltd. (United Kingdom); Christopher R. Chatwin, Univ. of Sussex (United Kingdom); Liangzhong Xiang, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-68]

Neurological Imaging1H magnetic resonance spectroscopy metabolite profiles of neonatal rat hippocampus and brainstem regions following early postnatal exposure to intermittent hypoxia, Robert A. Darnall, Geisel School of Medicine (USA); Xi Chen, Biomedical NMR Research Ctr., Geisel School of Medicine (USA); Krishnamurthy V. Nemani, Biomedical NMR Research Ctr., Geisel School of Medicine, Dartmouth Hitchcock Medical Ctr. (USA); Chrystelle M. Sirieix, Geisel School of Medicine (USA); Barjor Gimi, Biomedical NMR Research Ctr., Geisel School of Medicine, Dartmouth Hitchcock Medical Ctr. (USA). . . . . . . . [10137-51]

Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images, Jeffrey Glaister, Aaron Carass, Johns Hopkins Univ. (USA); Dzung L. Pham, Henry M. Jackson Foundation (USA); Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-70]

Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA), Debanjali Bhattacharya, Neelam Sinha, International Institute of Information Technology, Bangalore (India); Jitender Saini, National Institute of Mental Health and Neuro Sciences (India) . . . . . . . [10137-71]

Innovations in Image ProcessingCorrelation of the BAT activity with the metabolic activity in the thyroid of patients with fibromyalgia using thermal images, Ana Paula C. Costa, Univ. Tecnológica Federal do Paraná (Brazil) . . . . [10137-46]

A feasibility study on estimation of tissue mixture contributions in 3D arterial spin labeling sequence, Yang Liu, Huangsheng Pu, Xi Zhang, Baojuan Li, Fourth Military Medical Univ. (China); Zhengrong Liang, Stony Brook Univ. (USA); Hongbing Lu, Fourth Military Medical Univ. (China) . . . . . . . . . . . . . . . . [10137-72]

Photothermal characterization of gold nanorods for superficial breast cancer therapy in an engineered 3 dimensional human decellularized adipose tissue platform, Ki-Hwan Nam, Chan-Bae Jeong, Ji-Yong Bae, Geon-Hee Kim, Ki-Soo Chang, Korea Basic Science Institute (Korea, Republic of) . . . . . . . . . . [10137-73]

Interactive iterative relative fuzzy connectedness lung segmentation on thoracic 4D dynamic MR images, Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Yue Zhao, Univ. of Pennsylvania School of Medicine (USA); Joseph M. McDonough, Anthony Capraro, Ctr. for Thoracic Insufficiency Syndrome, The Children’s Hospital of Philadelphia (USA); Drew A. Torigian, Univ. of Pennsylvania School of Medicine (USA); Robert M. Campbell, Ctr. for Thoracic Insufficiency Syndrome, The Children’s Hospital of Philadelphia (USA) . [10137-74]

OCT image enhancement via background noise reduction, Zahra Turani, Sharif Univ. of Technology (Iran, Islamic Republic of); Saba Adabi, Wayne State Univ. (USA); Emad Fatemizadeh, Sharif Univ. of Technology (Iran, Islamic Republic of); Mohammadreza Nasiriavanaki, Wayne State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-75]

Efficient Multi-Atlas Registration using an Intermediate Template Image, Blake E. Dewey, Aaron Carass, Ari M. Blitz, Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-76]

A spatially variant deconvolution method based on total variation for optical coherence tomography images, Mohammad Almasganj, Sharif Univ. of Technology (Iran, Islamic Republic of); Saba Adabi, Wayne State Univ. (USA); Emad Fatemizadeh, Sharif Univ. of Technology (Iran, Islamic Republic of); Mohammadreza Nasiriavanaki, Wayne State Univ. (USA) . . . . . . . . . . . [10137-77]

Semi-automatic segmentation of the placenta into fetal and maternal compartments using intravoxel incoherent motion MRI, Wonsang You, Nickie Niforatos-Andescavage, Zungho Zun, Catherine Limperopoulos, Children’s National Medical Ctr. (USA) . . . . . . . . . . . . . [10137-78]

FADDTSter: accelerating hypothesis testing with functional analysis of diffusion tensor tract statistics, Juan C. Prieto, Jean Noel, Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA) . . . . . . . . . . . . . . . . . . [10137-79]

Monitoring of VX2 tumor growth in rabbit liver using T2-weighted and dynamic contrast-enhanced magnetic resonance imaging at 1.5T, Po-Chou Chen, I-Shou Univ. (Taiwan); Jo-Chi Jao, Ka-Wai Mac, Chiung-Yun Chang, Kaohsiung Medical Univ. (Taiwan); Yu-Chiuan Wu, Chia-Chi Hsiao, Kaohsiung Veterans General Hospital (Taiwan) . . . . . . . . . . . . . . . . . . . [10137-80]

Evaluation of a pulmonary strain model by registration of dynamic CT scans, Marc J. Pomeroy, Zhengrong Liang, Anthony Brehm, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-81]

A numerical finite element model to study the biomechanical behavior of abdominal aortic aneurysm, Golnaz Jalalahmadi, Cristian A. Linte, María Helguera, Rochester Institute of Technology (USA) . . . . . . . . . . . [10137-82]

Machine LearningAn automated image processing method for classification stages of diabetic retinopathy using conjunctival microvasculature images, Maziyar M. Khansari, William O’Neill, Univ. of Illinois at Chicago (USA); Richard Penn, Univ. of Illinois at Chicago (USA) and Rush Univ. Medical Ctr. (USA); Felix Chau, Norman P. Blair, Mahnaz Shahidi, Univ. of Illinois at Chicago (USA) . . . . . . . . . . . . . . . . . [10137-83]

Machine learning for cardiac ultrasound time series data, Baichuan Yuan , Univ. of California, Los Angeles (USA); Sathya R. Chitturi, Univ. of California, Los Angeles (USA) and Pomona College (USA); Geoffrey Iyer, Nuoyu Li, Xiaochuan Xu, Ruohan Zhan, Univ. of California, Los Angeles (USA); Rafael Llerena, Jesse T. Yen, The Univ. of Southern California (USA); Andrea L. Bertozzi, Univ. of California, Los Angeles (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-84]

Early classification of Alzheimer’s disease using hippocampal texture from structural MRI, Kun Zhao, Yanhui Ding, Shandong Normal Univ. (China); Pan Wang, Chinese PLA General Hospital (China); Xuejiao Dou, Institute of Automation (China); Bo Zhou, Hongxiang Yao, Ningyu An, Xi Zhang, Chinese PLA General Hospital (China); Yong Liu, Institute of Automation (China) . . . . . . . . . . [10137-85]

Novel Imaging MethodsA simulation study of spectral Cerenkov luminescence imaging for tumour margin estimation, Nick Calvert, Univ. College London (United Kingdom); David S. Tuch, Lightpoint Medical, Ltd. (United Kingdom); Simon R. Arridge, Danail Stoyanov, Univ. College London (United Kingdom) . . . . . . . . . . . [10137-86]

Context-dependent astrocyte dynamics visualized with novel freely-moving imaging platform, Yung-Tian A. Gau, Jaepyeong Cha, Jin U. Kang, Johns Hopkins Univ (USA); Dwight E. Bergles, Johns Hopkins Univ. (USA) . . . [10137-87]

CONFERENCE 10137


Deep learning based classification for head and neck cancer detection with hyperspectral imaging in an animal model, Ling Ma, Guolan Lu, Dongsheng Wang, Xu Wang, Zhuo G. Chen, Susan Muller, Amy Chen, Baowei Fei, Emory Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-88]

Bipolar current injection methods for electrical impedance tomography: a comparative study, Anitha Alex, Ramasubba Reddy M., Indian Institute of Technology Madras (India) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-89]

Diagnostic Index: An open-source tool to classify TMJ OA condyles, Beatriz Paniagua, The Univ. of North Carolina at Chapel Hill (USA); Laura Pascal, Univ. of Michigan (USA); Juan C. Prieto, The Univ. of North Carolina at Chapel Hill (USA); Jean-Baptiste Vimort, Univ. of Michigan (USA); Liliane R. Gomes, Araraquara Dental School, Paulista State Univ. (Brazil) and Univ. of Michigan (USA); Marilia S. Yatabe, Univ. de São Paulo (Brazil) and Univ. of Michigan (USA); Antonio C. O. Ruellas, Univ. Federal do Rio de Janeiro (Brazil); Francois Budin, Kitware, Inc. (USA); Steve Pieper, Isomics, Inc. (USA); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA); Erika Benavides, Lucia Cevidanes, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-90]

Undersampling strategies for compressed sensing accelerated magnetic resonance spectroscopic imaging, Rohini Vidya Shankar, Arizona State Univ. (USA); Houchun H. Hu, Phoenix Children’s Hospital (USA); Nutandev Bikkamane Jayadev, Arizona State Univ. (USA); John C. Chang, Banner MD Anderson Cancer Ctr. (USA); Vikram D. Kodibagkar, Arizona State Univ. (USA) . . . . . . . . . [10137-91]

Federating heterogeneous datasets to enhance data sharing and experiment reproducibility, Juan C. Prieto, Beatriz Paniagua, The Univ. of North Carolina at Chapel Hill (USA); Marilia S. Yatabe, Antonio C. O. Ruellas, Liana Fattori, Lucia Muniz, Univ. of Michigan (USA); Martin A. Styner, The Univ. of North Carolina at Chapel Hill (USA); Lucia Cevidanes, Univ. of Michigan (USA) . . . . . . . . [10137-92]

Application of an optical flow method for the study of functional NIRS signals, Raul Fernandez Rojas, Xu Huang, Univ. of Canberra (Australia); Keng Liang Ou, Taipei Medical Univ. (Taiwan) . . . . . . . . . . . . . . . . . . . . [10137-93]

Silica coated gold nanoparticles as photoacoustic and ultrasonic contrast agents for biomedical imaging, Lifeng Yang, Zhenming Peng, Yafei Wang, Univ. of Electronic Science and Technology of China (China) . . . . . . . . . . . . . [10137-94]


LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . . TUE 8:00 AM TO 9:40 AM

Machine LearningSession Chairs: Axel Wismüller, Univ. of Rochester Medical Ctr. (USA);

Changqing Li, Univ. of California, Merced (USA)8:00 am: Boosted learned kernels for data-driven vesselness measure, Enrico Grisan, Univ. degli Studi di Padova (Italy) . . . . . . . . . . . . . . . . . . [10137-35]

8:20 am: Deep learning for brain tumor classification, Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-36]

8:40 am: Robust hepatic vessel segmentation using multi deep convolution network, Titinunt Kitrungrotsakul, Ritsumeikan Univ. (Japan); Xian-Hua Han, Ritsumeikan Univ. (Japan) and National Institute of Advanced Industrial Science and Technology (Japan); Yutaro Iwamoto, Ritsumeikan Univ. (Japan); Amir Hossein Foruzan, Shahed Univ. (Iran, Islamic Republic of); Lanfen Lin, Zhejiang Univ. (China); Yen-Wei Chen, Ritsumeikan Univ. (Japan) and Zhejiang Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-37]

9:00 am: Automated diagnosis of Alzheimer’s disease with multi-atlas based whole brain segmentations, Yuan Luo, Xiaoying Tang, Carnegie Mellon Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-38]

9:20 am: Towards an affordable deep learning system: automated intervertebral disc detection in x-ray images, Ruhan Sa, Univ. at Buffalo (USA); William J. Owens, School of Medicine and Biomedical Sciences, The State Univ. of New York at Buffalo (USA); Raymond Wiegand, Spine Metrics, Inc. (USA); Vipin Chaudhary, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-39]


SESSION 9LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . TUE 10:10 AM TO 12:10 PM

Novel Imaging MethodsSession Chairs: Andrzej Krol, SUNY Upstate Medical Univ. (USA);

Vikram D. Kodibagkar, Arizona State Univ. (USA)10:10 am: Implementation of material decomposition using an EMCCD-based micro-CT system, Alexander R. Podgorsak, Toshiba Stroke and Vascular Research Ctr. (USA) and Univ. at Buffalo (USA); Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Toshiba Stroke and Vascular Research Ctr. (USA); Stephen Rudin, Ciprian N. Ionita, Toshiba Stroke and Vascular Research Ctr. (USA) and Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-40]

10:30 am: Ultrahigh resolution and brilliance laser wakefield betatron x-ray source for rapid in vivo tomographic microvasculature imaging in small animal models, Sylvain Fourmaux, Jean-Claude Kieffer, Institut National de la Recherche Scientifique (Canada); Andrzej Krol, SUNY Upstate Medical Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-41]10:50 am: Spatial resolution properties of digital autoradiography systems for pre-clinical alpha particle imaging, Jesse Tanguay, The Univ. of British Columbia Okanagan (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-42]11:10 am: Differentiating between cancer and inflammation: a novel metabolic-based method for functional CT imaging, Tamar Dreifuss, Menachem Motiei, Rachela Popovtzer, Bar-Ilan Univ. (Israel) . . . . . . . . [10137-43]11:30 am: Tracking cancer-specific T-cells in vivo with gold nanoparticles and CT imaging, Rinat Meir, Katerina Shamalov, Menachem Motiei, Cyrille Cohen, Rachela Popovtzer, Bar-Ilan Univ. (Israel) . . . . . . . . . . . . . . . . . [10137-44]11:50 am: 3D Histology of soft tissue samples using novel staining methods, Madleen Busse, Michael Epple, Mark Müller, Melanie A. Kimm, Franz Pfeiffer, Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-45]Lunch Break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Tue 12:10 pm to 1:20 pm

SESSION 10LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . . . TUE 1:20 PM TO 3:00 PM

Innovations in Image Processing IISession Chairs: Armando Manduca, Mayo Clinic (USA);

Xavier Intes, Rensselaer Polytechnic Institute (USA)1:40 pm: Test-suite for image-based motion estimation of the brain and tongue, Jordan A. Ramsey, Univ. of Maryland, Baltimore (USA); Arnold D. Gomez, Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . [10137-47]

2:00 pm: Longitudinal analysis of mouse SDOCT volumes, Bhavna J. Antony, Aaron Carass, Andrew Lang, Byung-Jin Kim, Donald J. Zack, Jerry L. Prince, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . [10137-48]

2:20 pm: A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy, Xia Huang, Chunqiang Li, Chuan Xiao, Wei Qian, The Univ. of Texas at El Paso (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-49]

2:40 pm: Inter-session repeatability of retinal layer thickness in optical coherence tomography, Delia Cabrera DeBuc, Jing Tian, Nathan Bates, Bascom Palmer Eye Institute (USA); Gabor M. Somfai, Pallas Kliniken (Switzerland) and Semmelweis Univ. (Hungary). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-50]


SESSION 11LOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . . .TUE 3:30 PM TO 4:50 PM

Neurological Imaging IISession Chairs: Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) ;

Nicholas J. Tustison, Univ. of Virginia (USA3:30 pm: Learning discriminative functional network features of schizophrenia, Mina Gheiratmand, Univ. of Alberta (Canada); Irina Rish, Guillermo A. Cecchi, IBM Thomas J. Watson Research Ctr. (USA); Matthew Brown, Russell Greiner, Univ. of Alberta (Canada); Pouya Bashivan, The Univ. of Memphis (USA); Pablo Polosecki, IBM Thomas J. Watson Research Ctr. (USA); Serdar Dursun, Univ. of Alberta (Canada) . . . . . . . . . . . . . . . [10137-95]

3:50 pm: Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of Multiple Sclerosis, Anas Z. Abidin, Adora M. D’Souza, Univ. of Rochester Medical Ctr. (USA); Matilde Inglese, Icahn School of Medicine at Mount Sinai (USA); Axel Wismueller, Univ. of Rochester Medical Ctr. (USA) and Ludwig-Maximilians-Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-52]

4:10 pm: Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning, Adora M. DSouza, Anas Z. Abidin, Mahesh Nagarajan, Axel Wismüller, Univ. of Rochester Medical Ctr. (USA) . . . . . . . . . . . . . [10137-53]

4:30 pm: Diffusion tractography and graph theory analysis reveal disrupted rich-club organization of white matter structural networks in early Tourette Syndrome children, Hongwei Wen, Institute of Automation (China); Yue Liu, Beijing Children’s Hospital, Capital Medical Univ. (China); Shengpei Wang, Institute of Automation (China); Jishui Zhang, Yun Peng, Beijing Children’s Hospital, Capital Medical Univ. (China); Huiguang He, Institute of Automation (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10137-54]

POSTER AWARD ANNOUNCEMENTSLOCATION: OCEANS 3 . . . . . . . . . . . . . . . . . . . . 4:50 PM TO 5:00 PM

The Biomedical Applications in Molecular, Structural, and Functional Imaging conference poster award recipients will be recognized and certificates distributed.

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CONFERENCE 10138Wednesday–Thursday 15–16 February 2017 • Proceedings of SPIE Vol. 10138

Imaging Informatics for Healthcare, Research, and ApplicationsConference Chairs: Tessa S. Cook, The Univ. of Pennsylvania Health System (USA); Jianguo Zhang, Shanghai Institute of Technical Physics (China)

Program Committee: Peter R. Bak, McMaster Univ. (Canada); Po-Hao Chen, The Univ. of Pennsylvania Health System (USA); Thomas M. Deserno, RWTH Aachen (Germany); Steven C. Horii, The Univ. of Pennsylvania Health System (USA); Maria Y. Law, Hong Kong Sanatorium and Hospital (Hong Kong, China); Heinz U. Lemke, Computer Assisted Radiology and Surgery (Germany); Brent J. Liu, The Univ. of Southern California (USA); Brian Park, The Univ. of Pennsylvania Health System (USA); Eliot L. Siegel, Univ. of Maryland Medical Ctr. (USA); Wyatt Tellis, Univ. of California, San Francisco (USA)









TUESDAY 14 FEBRUARYTUESDAY/WEDNESDAY POSTER VIEWING

LOCATION: OCEANS BALLROOM . . . . . . . . . . 12:00 PM TO 9:00 PMPosters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

18TH SPIE/IFCARS JOINT WORKSHOPLOCATION: CRYSTAL C . . . . . . . . . . . . . . . . TUE 5:00 PM TO 7:00 PM

Information Management, Systems Integration, Standards, and Approval Issues

the Digital Operating RoomWorkshop Chairs: Leonard Berliner,

New York Methodist Hospital (USA); Heinz Lemke, Computer Assisted Radiology and Surgery, (Germany)

It has been challenging to put into practice in the Operating Room (OR) many of the new technological and system advances, associated interventional procedures, and in particular, a corresponding redesign of OR infrastructures. An IT Infrastructure for the OR has to be based on DICOM, IHE and a Therapy Imaging and Model Management System (TIMMS) for the storage, integration, processing and transmission of patient specific data, allowing for the adaptation of radiological/imaging workflows to the specifics of surgical workflows.

A PACS-like architecture and its application for the management of image and model guided therapy has been the subject of discussions in the DICOM and IHE standard activities. With the initiation of the new IHE Surgery Domain, this SPIE / IFCARS Joint Workshop focuses on presentations and discussions on topics such as:• The Digital OR infrastructure and IHE Surgery• OR.NET - the German OR-IT integration project• SCOT - the Japanese OR-IT integration project• MD PnP – a USA OR-IT integration project• Viewpoints from industry and bridging the Radiology - Surgery gap• IHE Surgery Planning and Technical Committee Work Tasks• Proposal for IHE Integration Profiles• Approval and certification strategies• Optical Imaging Devices in Medical Applications: Regulatory Perspective

Panelists/Speakers: Yoshihiro Muragaki, Tokyo Women’s Medical Univ. (Japan); Ron Schilling, EchoPixel, Inc. (USA);



LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . WED 8:00 AM TO 9:40 AM

Clinical Applications for Image ProcessingSession Chair: Heinz U. Lemke,

Computer Assisted Radiology and Surgery (Germany)

8:00 am: Active contours extension and similarity indicators for improved 3D segmentation of thyroid ultrasound images, Prabal Poudel, Univ. Bonn (Germany); Alfredo Illanes, Christian Hansen, Otto-von-Guericke Univ. Magdeburg (Germany); Christoph Arens, Otto-von-Guericke-Univ. Magdeburg (Germany); Michael Friebe, Otto-von-Guericke Univ. Magdeburg (Germany). . . . . . . [10138-1]

8:20 am: Frequency-based similarity detection of structures in human brain, Dave I. Sims, Mohamad-Reza Siadat, Oakland Univ. (USA) . . . . . . . . . . . [10138-2]

8:40 am: Implementation of a computer-aided detection tool for quantification of intracranial radiologic markers on brain CT images, Faranak Aghaei, Yunzhi Wang, The Univ. of Oklahoma (USA); Dee H. Wu, Benjamin O. Cornwell, Bappaditya Ray, The Univ. of Oklahoma Health Sciences Ctr. (USA); Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . [10138-3]


9:00 am: Optic disc segmentation: level set methods and blood vessels inpainting, Ahmed A. Almazroa, King Abdullah International Medical Research Ctr. (Saudi Arabia); Weiwei Sun, Wuhan Univ. (China); Sami Alodhayb, Bin Rushed Ophthalmic Ctr. (Saudi Arabia); Kaamran Raahemifar, Ryerson Univ. (Canada); Vasudevan Lakshminarayanan, Univ. of Waterloo (Canada) . . . . . . . . . . [10138-4]

9:20 am: Automatic multi-label annotation of abdominal CT images using CBIR, Zhiyun Xue, Sameer K. Antani, Rodney Long, George R. Thoma, National Library of Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-5]


SESSION 2LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . .WED 10:10 AM TO 12:10 PM

Big Data and Machine LearningSession Chair: Po-Hao Chen,

The Univ. of Pennsylvania Health System (USA)

10:10 am: Discriminating between benign and malignant breast tumors using 3D convolutional neural network in dynamic contrast enhanced MR images, Jing Li, Ming Fan, Hangzhou Dianzi Univ. (China); Juan Zhang, Zhejiang Cancer Hospital (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . [10138-6]

10:30 am: Making sense of large datasets without annotations: analyzing age-related correlations from lung CT scans, Yashin Dicente Cid, HES-SO Valais (Switzerland) and Univ. de Genève (Switzerland); Artem Mamonov, Andrew Beers, Armin Thomas, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); Vassili A. Kovalev, National Academy of Sciences of Belarus (Belarus); Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. for Biomedical Imaging (USA); Henning Müller, HES-SO Valais (Switzerland) and Univ. de Genève (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-7]

10:50 am: Local-global classifier fusion for screening chest radiographs, Meng Ding, Sameer K. Antani, Stefan R. Jaeger, Zhiyun Xue, Sema Candemir, George R. Thoma, National Library of Medicine (USA) . . . . . . . . . . . . . . . [10138-8]

11:10 am: Theoretical and empirical comparison of big data image processing with Apache Hadoop and Sun Grid Engine, Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . [10138-9]

11:30 am: DAX - the next generation: towards one million processes on commodity hardware, Stephen Damon, Brian D. Boyd, Andrew J. Plassard, Warren Taylor, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . [10138-10]

11:50 am: Digital pathology annotation data for improved deep neural network classification, Edward Kim, SaiLakshmiDeepika Mente, Vijay Gehlot, Villanova Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-11]


SESSION 3LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . WED 1:20 PM TO 3:00 PM

Precision MedicineSession Chair: Brent J. Liu, The Univ. of Southern California (USA)

1:20 pm: Prediction of response to neoadjuvant chemotherapy in breast cancer: a radiomic study, Guolin Wu, Ming Fan, Hangzhou Dianzi Univ. (China); Juan Zhang, Guoliang Shao, Zhejiang Cancer Hospital (China); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-12]

1:40 pm: Phenotype analysis of early risk factors from electronic medical records improves image-derived diagnostic classifiers for optic nerve pathology, Shikha Chaganti, Kunal P. Nabar, Katrina M. Nelson, Louise A. Mawn, Bennett A. Landman, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10138-13]

2:00 pm: The development and implementation of MOSAIQ Integration Platform (MIP) based on the radiotherapy workflow, Xin Yang, Sun Yat-Sen Univ. Cancer Ctr. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-14]

2:20 pm: A low noise stenography method for medical images with QR encoding of patient information, Juan Carlos Martinez-Santos, Alberto Patiño-Vanegas, Sonia H. Contreras-Ortiz, Univ. Tecnológica de Bolívar (Colombia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-15]

2:40 pm: Exploring a new quantitative image marker to assess benefit of chemotherapy to ovarian cancer patients, Seyedehnafiseh Mirniaharikandehei, Omkar Patil, Faranak Aghaei, Yunzhi Wang, Bin Zheng, The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-16]


SESSION 4LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . .WED 3:30 PM TO 4:50 PM

Advances in the Informatics of TherapeuticsSession Chair: Jianguo Zhang, Shanghai Institute of Technical Physics

of the Chinese Academy of Sciences (China)

3:30 pm: Evaluation of a web based informatics system with data mining tool for predicting outcomes with quantitative imaging features in stroke rehabilitation clinical trials, Ximing Wang, Bokkyu Kim, Ji Hoon Park, Erik Wang, Sydney Forsyth, Cody Lim, Ragini Ravi, Sarkis Karibyan, Alexander Sanchez, Brent J. Liu, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . [10138-17]

3:50 pm: Evaluation of longitudinal tracking and data mining for an imaging informatics-based multiple sclerosis e-folder, Kevin C. Ma, Sydney Forsyth, Lilyana Amezcua, Brent J. Liu, The Univ. of Southern California (USA) . [10138-18]

4:10 pm: Prediction of near-term breast cancer risk using local region-based bilateral asymmetry features in mammography, Yane Li, Ming Fan, Lihua Li, Hangzhou Dianzi Univ. (China); Bin Zheng, Hangzhou Dianzi Univ. (China) and The Univ. of Oklahoma (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-19]

4:30 pm: The development of a decision support system with an interactive clinical user interface for estimating treatment parameters in radiation therapy in order to reduce radiation dose in head and neck patients., Sneha K. Verma, Joseph Liu, Ruchi R. Deshpande, The Univ. of Southern California (USA); John J. DeMarco, Cedars-Sinai Health System (USA); Brent J. Liu, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-20]

POSTERS- TUESDAY/WEDNESDAYLOCATION: OCEANS BALLROOM . . . . . . WED 5:30 PM TO 7:00 PM


POSTER SESSIONLOCATION: OCEANS BALLROOM . . . . . . . . . . .WED 5:30 PM TO 7:00 PMDesigning content-based medical image retrieval system by using deep learning technology, Qinpei Sun, Jianyong Sun, Tonghui Ling, Yuanyuan Yang, Mingqing Wang, Jianguo Zhang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-36]

Collaborative SDOCT segmentation and analysis software, Yeyi Yun, Aaron Carass, Andrew Lang, Jerry L. Prince, Bhavna J. Antony, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-37]

DICOM Image quantification secondary capture (DICOM IQSC) integrated with numeric results, regions and curves: implementation and applications in nuclear medicine, Xinhua Cao, Boston Children’s Hospital (USA) and Harvard Medical School (USA); Xiaoyin Xu, Brigham and Women’s Hospital (USA) and Harvard Medical School (USA); Stephan Voss, Boston Children’s Hospital (USA) and Harvard Medical School (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10138-38]

High precision localization of cerebral hemorrhage based on 3D MPR on head CT images, Jianyong Sun, Xiaoshuai Hou, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China); Shujie Sun, Clinical Medical Ctr. in Shanghai, Chinese Academy of Sciences (China); Jianguo Zhang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-39]

Computerized detection of breast cancer using resonance-frequency-based electrical impedance spectroscopy, Wei Gao, Ming Fan, Weijie Zhao, Hangzhou Dianzi Univ. (China); Bin Zheng, Hangzhou Dianzi Univ. (China) and The Univ. of Oklahoma (USA); Lihua Li, Hangzhou Dianzi Univ. (China) . . . . [10138-40]

Integration of the HTC Vive into the medical platform MeVisLab, Jan Egger, Technische Univ. Graz (Austria) and BioTechMed-Graz (Austria); Markus Gall, Technische Univ. Graz (Austria); Jürgen Wallner, Medizinischen Univ. Graz (Austria); Pedro de Almeida Germano Boechat, Techniche Univ. Graz (Austria); Alexander Hann, Univ. Ulm (Germany); Xing Li, Xiaojun Chen, Shanghai Jiao Tong Univ. (China); Dieter Schmalsteig, Techniche Univ. Gras (Austria) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-41]

Differentiation malignant from benign breast tumors on acoustic radiation force impulse imaging using fuzzy-based neural networks with principle component analysis, Hsiao-Chuan Liu, Univ. of Southern California (USA); Yi-Hong Chou, Chui-Mei Tiu, Taipei Veterans General Hospital (Taiwan); Chi-Wen Hsieh, National Chiayi Univ. (Taiwan); Brent J. Liu, K. Kirk Shung, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-42]

CONFERENCE 10138

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The design and integration of retinal CAD-SR to diabetes patient ePR system, Huiqun Wu, Univ. of Southern California, Los Angeles (USA) and Nantong Univ. (China); Yufang Wei, Univ. of Southern California, Los Angeles (USA); Yujuan Shang, Jiang Kui, Nantong Univ. (China); Jiancheng Dong, Nantong Univ. (China); Brent J. Liu, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-43]


LOCATION: CRYSTAL E . . . . . . . . . . . . . . . .THU 8:00 AM TO 9:30 AM

KeynoteSession Chair: Jianguo Zhang, Shanghai Institute of Technical Physics

of the Chinese Academy of Sciences (China)

8:00 am: Introduction to 3D printing (Keynote Presentation), William Weadock, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . [10138-21]

POSTER AWARD ANNOUNCEMENTSLOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . 9:30 AM TO 9:40 AM

The Imaging Informatics for Healthcare, Research, and Applications conference poster award recipients will be recognized and certificates distributed.


SESSION 6LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . THU 10:10 AM TO 12:10 PM

Novel Applications in 3D PrintingSession Chair: Steven C. Horii,


10:10 am: Feasibility of fabricating personalized 3D-printed bone grafts guided by high-resolution imaging, Chamith S. Rajapakse, Abigail Hong, Benjamin T. Newman, Arbab Khalid, Olivia M. Teter, Elizabeth A. Kobe, Malika Shukurova, Rohit S. Shinde, Daniel B. Sipzner, Univ. of Pennsylvania (USA); Robert J. Pignolo, Hospital of the Univ. of Pennsylvania (USA) and Presbyterian Medical Ctr. of Philadelphia (USA); Jayaram K. Udupa, Univ. of Pennsylvania (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-22]

10:30 am: 3D printed abdominal aortic aneurysm phantom for image guided surgical planning with a patient specific fenestrated endovascular graft system, Karen M. Meess, The Jacobs Institute, Inc. (USA) and CUBRC Inc. (USA) and Univ. at Buffalo (USA); Richard L. Izzo, The Jacobs Institute, Inc. (USA) Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Maciej L. Dryjski, Richard E. Curl, Univ. at Buffalo (USA); Michael E. Springer, The Jacobs Institute, Inc. (USA); Adnan H. Siddiqui, Univ. at Buffalo (USA); Stephen Rudin, Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-23]

10:50 am: Soft tissue models - easy and inexpensive flexible 3D printing as a help in surgical planing of cardio-vascular disorders,Zbigniew Starosolski, Texas Children’s Hospital (USA); David Ezon, Children’s Hospital of Pittsburgh (USA); Rajesh Krishnamurthy, Texas Children’s Hospital (USA); Nicholas Dodd, Jeffrey Heinle, Dean E. McKenzie, Children’s Hospital of Pittsburgh (USA); Ananth Annapragada, Children’s Hospital of Pittsburgh (USA) . . . . . . . . . . . . . [10138-24]

11:10 am: Design optimization for accurate flow simulations in 3D printed vascular phantoms derived from computed tomography angiography, Kelsey N. Sommer, Toshiba Stroke and Vascular Research Ctr. (USA) and Univ. at Buffalo (USA); Alexander R. Podgorzak, Rick L. Izzo, Lauren Shepard, Stephen Rudin, Adnan H. Siddiqui, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Michael Wilson, Univ. at Buffalo (USA); Erin Angel, Toshiba America Medical Systems, Inc. (USA); Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . [10138-25]

11:30 am: Initial retrospective FFR investigation using flow measurements in patient specific 3D printed coronary phantoms, Lauren Shepard, Kelsey N. Sommer, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Richard L. Izzo, Univ. at Buffalo (USA),The Jacobs Institute (USA), and Toshiba Stroke and Vascular Research Ctr. (USA); Alexander R. Podgorsak, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Michael Wilson, Said Zaid, Univ. at Buffalo (USA); Frank J. Rybicki, The Ottawa Hospital Research Institute, The Univ. of Ottawa (Canada); Dimitrios Mitsouras, Brigham and Women’s Hospital (USA); Stephen Rudin, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA); Erin Angel, Toshiba America Medical Systems, Inc. (USA); Ciprian N. Ionita, Univ. at Buffalo (USA) and Toshiba Stroke and Vascular Research Ctr. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-26]

11:50 am: 3D printing for orthopedic applications: from high resolution cone Beam CT images to life size physical models, Amiee Jackson, Shusil Dangi, Yehuda K. Ben Zikri, Rochester Institute of Technology (USA); Lawrence A. Ray, Carestream Health, Inc. (USA); Cristian A. Linte, Rochester Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-27]


SESSION 7LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . .THU 1:20 PM TO 3:00 PM

Cloud-based InnovationsSession Chair: Tessa S. Cook,


1:20 pm: Virtual setting for training in interpreting mammography images, Francisco Douglas Lima Abreu, Jorge Luiz Pezzuol, Aline Tendolini, Simone Mendes da Silva, Márcia Aparecido Silva Bissaco, Silvia Cristina Martini Rodrigues, Univ. de Mogi das Cruzes (Brazil) . . . . . . . . . . . . . . . . . . . . . [10138-28]

1:40 pm: Crowdsourcing for identification of polyp-free segments in virtual colonoscopy videos, Ji Hwan Park, Seyedkoosha Mirhosseini, Saad Nadeem, Stony Brook Univ. (USA); Joseph Marino, Stony Brook Medicine (USA); Arie Kaufman, Stony Brook Univ. (USA); Kevin Baker, Matthew A. Barish, Stony Brook Medicine (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-29]

2:00 pm: MIIP: a web-based platform for medical image interpretation training and evaluation, Frank Lindseth, Norwegian Univ. of Science and Technology (Norway) and SINTEF (Norway); Marte Nordrik Hallan, Martin S. Tønnessen, Norwegian Univ. of Science and Technology (Norway); Erik Smistad, Cecilie Våpenstad, Norwegian Univ. of Science and Technology (Norway) and SINTEF (Norway) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-30]

2:20 pm: A cloud collaborative medical image platform oriented by social network, Frederico B. Muniz, Fátima L. S. Nunes, Luciano V. Araújo, Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-31]

2:40 pm: Principle and engineering implementation of 3D visual representation and indexing of medical diagnostic records, Liehang Shi, Jianyong Sun, Yuanyuan Yang, Tonghui Ling, Mingqing Wang, Jianguo Zhang, Shanghai Institute of Technical Physics of the Chinese Academy of Sciences (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-32]


SESSION 8LOCATION: CRYSTAL E . . . . . . . . . . . . . . . . . . . . THU 3:30 PM TO 4:30 PM

Innovations in WorkflowSession Chair: Thomas Martin Deserno,

Uniklinik RWTH Aachen (Germany)

3:30 pm: MR efficiency using automated MRI-desktop eProtocol, Fei Gao, Yanzhe Xu, Arizona State Univ. (USA); Anshuman Panda, Min Zhang, James A. Hanson, Mayo Clinic Arizona (USA); Congzhe Su, Teresa Wu, Arizona State Univ. (USA); William Pavlicek, Judy R. James, Mayo Clinic Arizona (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-33]

3:50 pm: System design for 3D wound imaging using low-cost mobile devices, Ekaterina Sirazitdinova, Thomas M. Deserno, Uniklinik RWTH Aachen (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10138-34]

4:10 pm: Assessing the initial adaptability and impact of a mobile dictation and reporting system in the radiology department of an academic hospital, Raja Gali, Jaydev Dave, Thomas Jefferson Univ. (USA) . . . . . . . . . . . . . [10138-35]

CONFERENCE 10138


CONFERENCE 10139Wednesday–Thursday 15–16 February 2017 • Proceedings of SPIE Vol. 10139

Ultrasonic Imaging and TomographyConference Chairs: Neb Duric, Delphinus Medical Technologies (USA), Barbara Ann Karmanos Cancer Institute (USA); Brecht Heyde, Univ. of Leuven (Belgium)

Program Committee: Mark A. Anastasio, Washington Univ. in St. Louis (USA); Jeffrey C. Bamber, The Royal Marsden NHS Foundation Trust (United Kingdom); Johan G. Bosch, Erasmus Univ. Rotterdam (Netherlands); Brett C. Byram, Vanderbilt Univ. (USA); Jan D’hooge, Univ. of Leuven (Belgium); Marvin M. Doyley, Univ. of Rochester (USA); Stanislav Y. Emelianov, The Univ. of Texas at Austin (USA); Mostafa Fatemi, Mayo Clinic College of Medicine (USA); Aaron Fenster, Robarts Research Institute (Canada); Jérémie Fromageau, The Institute of Cancer Research (United Kingdom); James F. Greenleaf, Mayo Clinic (USA); Emma J. Harris, The Institute of Cancer Research (United Kingdom); Michael Jaeger, Univ. Bern (Switzerland); Jørgen Arendt Jensen, Technical Univ. of Denmark (Denmark); David H. Kim, Pohang Univ. of Science and Technology (USA); Roman G. Maev, Univ. of Windsor (Canada); Stephen A. McAleavey, Univ. of Rochester (USA); Mohammad Mehrmohammadi, Wayne State Univ. (USA); Serge Mensah, Aix-Marseille Univ. (France); Svetoslav I. Nikolov, BK Medical (Denmark); Olivier Roy, Karmanos Cancer Institute (USA); Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany); Kai E. Thomenius, Massachusetts Institute of Technology (USA); William F. Walker, Univ. of Virginia (USA)









TUESDAY 14 FEBRUARYTUESDAY/WEDNESDAY POSTER VIEWING

LOCATION: OCEANS BALLROOM . . . . . . . . . . 12:00 PM TO 9:00 PMPosters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.

WORKSHOPLOCATION: OCEANS 2 . . . . . . . . . . . . . . . . TUE 5:00 PM TO 7:00 PM

Ultrasound Computed Tomography Data Challenge Panel Discussion

Workshop Chair: Nicole Ruiter, Karlsruhe Institute of Technology, (Germany)

Moderators: Nicole V. Ruiter, Karlsruhe Institute of Technology (Germany);Koen van Dongen, Techniche Univ. Delft (Germany)

Ultrasound Computer Tomography is an exciting new technology mostly aimed at breast cancer imaging. Currently scientists working on advanced reconstruction algorithms have seldom easy access to real data. Also scientists working on the development of USCT devices seldom have access to the variety of advanced signal processing and imaging algorithms.

This challenge aims at closing this gap within the US(C)T community by combining available imaging algorithms with the data of various USCT devices. Our long term goal is to build up a reference database and to establish data format and software interfaces to enable simplified academic exchange to drive further development. This challenge aims on applying available image reconstruction algorithms on provided USCT data in order to establish a first interface specification.

Participants will be invited to be part of a panel discussion in order to discuss their experience and possible future steps towards objectively evaluate and compare USCT reconstruction algorithms and imaging protocols.


LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . WED 8:00 AM TO 9:40 AM

Motion and Deformation ImagingSession Chair: Brecht Heyde, KU Leuven (Belgium)

8:00 am: Block matching and B-spline methods in deformation estimation in synthetic left ventricular model with non-transmural infarction, Jakub Zmigrodzki, Szymon Cygan, Warsaw Univ. of Technology (Poland); Konrad Werys, Institute of Cardiology (Poland) and Warsaw Univ. of Technology (Poland); Beata Lesniak-Plewinska, Warsaw Univ. of Technology (Poland); Miroslaw Kowalski, Institute of Cardiology (Poland); Krzysztof Kaluzynski, Warsaw Univ. of Technology (Poland) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-1]

8:20 am: Ultrasound elastography: efficient estimation of tissue displacement using an affine transformation model, Hoda Sadat Hashemi, Concordia Univ. (Canada); Hassan Rivaz, Concordia Univ. (Canada) and PERFORM Ctr. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-2]

8:40 am: Dictionary learning-based spatiotemporal regularization for 3D dense speckle tracking, Allen Lu, Yale Univ. (USA); Maria Zontak, Univ. of Washington (USA); Nripesh Parajuli, John C. Stendahl, Nabil Boutagy, Melissa M. Eberle, Yale Univ. (USA); Matthew O’Donnell, Univ. of Washington (USA); Albert J. Sinusas, James S. Duncan, Yale Univ. (USA) . . . . . . . . . . . . . . . [10139-3]

9:00 am: Imaging spatially varying biomechanical properties with neural networks, Cameron Hoerig, Univ. of Illinois at Urbana-Champaign (USA); Wendy Reyes, The Catholic Univ. of America (USA); Léo Fabre, Ecole Centrale de Lille (France); Jamshid Ghaboussi, Michael F. Insana, Univ. of Illinois at Urbana-Champaign (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-4]

9:20 am: Feasibility of pulse wave velocity estimation from low frame rate US sequences in vivo, Maria Zontak, Matthew Bruce, Univ. of Washington (USA); Michelle Hippke, Alan Schwartz, Radiology, Alliance HealthCare Services (USA); Matthew O’Donnell, Univ. of Washington (USA) . . . . . . . . . . . . . . . . . . . . [10139-5]


SESSION 2LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . .WED 10:10 AM TO 12:10 PM

Ultrasound Tomography and PhotoacousticsSession Chair: Nicole V. Ruiter,

Karlsruher Institut für Technologie (Germany)

10:10 am: Ultrasound computed tomography by frequency-shift low-pass filtering and least mean square adaptive filtering, Shanshan Wang, Junjie Song, Liang Zhou, Mingyue Ding, Ming Yuchi, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-6]

10:30 am: Multi-frequency accelerating strategy for the contrast source inversion method of ultrasound waveform tomography using pulse data, Hongxiang Lin, Takashi Azuma, Xiaolei Qu, Shu Takagi, The Univ. of Tokyo (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-7]

10:50 am: 3D frequency-domain ultrasound waveform tomography breast imaging, Gursharan Yash Singh Sandhu, Delphinus Medical Technologies, Inc. (USA); Cuiping Li, Olivier Roy, Delphinus Medical Technologies, Inc. (USA) and Karmanos Cancer Institute, Wayne State Univ. (USA); Erik West, Delphinus Medical Technologies, Inc. (USA); Neb Duric, Delphinus Medical Technologies, Inc. (USA) and Karmanos Cancer Institute, Wayne State Univ. (USA) . . . [10139-8]

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11:10 am: Breast imaging using waveform attenuation tomography, Cuiping Li, Delphinus Medical Technologies, Inc. (USA) . . . . . . . . . . . . . [10139-9]

11:30 am: Joint reconstruction of the sound speed and initial pressure distributions for ultrasound computed tomography and photoacoustic computed tomography, Thomas P. Matthews, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-10]

11:50 am: Iterative image reconstruction in elastic inhomogenous media with application to transcranial photoacoustic tomography, Joemini Poudel, Thomas P. Matthews, Kenji Mitsuhashi, Alejandro Garcia-Uribe, Lihong V. Wang, Mark A. Anastasio, Washington Univ. in St. Louis (USA) . . . . . . . . . . . . [10139-11]


SESSION 3LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . WED 1:20 PM TO 3:00 PM

Ultrasound Image Analysis and Tissue Characterization

Session Chair: François Varray, Univ. de Lyon (France)

1:20 pm: Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing, Sharareh Bayat, Farhad Imani, Carlos D. Gerardo, Guy Nir, Shekoofeh Azizi, The Univ. of British Columbia (Canada); Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Univ. of Colorado Denver (USA); Larry Goldenberg, Vancouver General Hospital, Vancouver Coastal Health (Canada); Septimiu E. Salcudean, The Univ. of British Columbia (Canada); Parvin Mousavi, Queen’s Univ. (Canada); Purang Abolmaesumi, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-12]

1:40 pm: Improving the quantification of contrast enhanced ultrasound using a Bayesian approach, Gaia Rizzo, Matteo Tonietto, Marco Castellaro, Univ. degli Studi di Padova (Italy); Alessandro Coran, Istituto Oncologico Veneto I.R.C.C.S. (Italy); Bernd Raffeiner, Ugo Fiocco, Roberto Stramare, Enrico Grisan, Univ. degli Studi di Padova (Italy) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-13]

2:00 pm: Speed of sound estimation for thermal monitoring during liver ablation therapy, Younsu Kim, Chloé Audigier, Austin Dillow, Alexis Cheng, Emad M. Boctor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . [10139-14]

2:20 pm: Automated breast segmentation in ultrasound computer tomography SAFT images, Torsten Hopp, Wendy You, Michael Zapf, Wei Yap Tan, Hartmut E. Gemmeke, Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-15]

2:40 pm: Automated timing in echocardiography, Massoud Zolgharni, Imperial College London (United Kingdom) . . . . . . [10139-16]


SESSION 4LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . WED 3:30 PM TO 5:30 PM

Keynote and Blood Flow ImagingSession Chair: Lasse Løvstakken,

Norwegian Univ. of Science and Technology (Norway)

3:30 pm: Ultrafast ultrasound blood flow imaging: current and future perspectives (Keynote Presentation), Lasse Løvstakken, Norwegian Univ. of Science and Technology (Norway) . . . . . . . . . . . . . . . . . . . . . . . . . [10139-17]

4:30 pm: Lateral velocity estimation bias due to beamforming delay errors, Alfonso Rodriguez-Molares, Solveig Fadnes, Norwegian Univ. of Science and Technology (Norway); Abigail Swillens, Univ. Gent (Belgium); Lasse Løvstakken, Norwegian Univ. of Science and Technology (Norway) . . . . . . . . . . . . . [10139-18]

4:50 pm: Particle image velocimetry on simulated 3D ultrafast ultrasound from pediatric matrix TEE transducers, Jason D. Voorneveld, Deep Bera, Antonius F. W. van der Steen, Erasmus MC (Netherlands); Nico de Jong, Erasmus MC (Netherlands) and Technische Univ. Delft (Netherlands); Johannes G. Bosch, Erasmus MC (Netherlands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-19]

5:10 pm: Estimation of left ventricular blood flow parameters: clinical application of patient-specific CFD simulations from 4D stress echocardiography, David Larsson, KTH Royal Institute of Technology (Sweden) and Karolinska Institutet (Sweden); Jeannette H. Spühler, KTH Royal Institute of Technology (Sweden); Elif Günyeli, Karolinska Institutet (Sweden); Tino Weinkauf, Johan Hoffman, Massimiliano Colarieti-Tosti, KTH Royal Institute of Technology (Sweden); Reidar Winter, Karolinska Institutet (Sweden); Matilda Larsson, KTH Royal Institute of Technology (Sweden) . . . . . . . . . . . . . . . . . . . . . . . . . [10139-20]

POSTER AWARD ANNOUNCEMENTSLOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . 5:30 PM TO 5:35 PM

The Ultrasonic Imaging and Tomography conference poster award recipients will be recognized and certificates distributed.


Posters for this conference will be on display Tuesday and Wednesday. The poster session with authors in attendance will be on Wednesday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Wednesday afternoon.


Motion and Deformation ImagingLateral interpolation of both RF signals and cross-correlation function for higher accuracy in lateral motion estimation, Zhi Liu, Chengwu Huang, Jianwen Luo, Tsinghua Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-40]

An improved implementation of block matching for motion estimation in ultrasound imaging, Fernando M. Cardoso, Sérgio S. Furuie, Escola Politécnica da Univ. de São Paulo (Brazil) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-41]

Performance comparison of optical flow and block matching methods in shearing and rotating models, Zhi Liu, Jianwen Luo, Tsinghua Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-42]

Deformation of physical left ventricular phantoms with inclusions simulating transmural and non-transmural infarctions - FEM and EchoPAC study, Szymon Cygan, Warsaw Univ. of Technology (Poland); Magdalena Kumor, Institute of Cardiology (Poland); Jakub Zmigrodzki, Beata Lesniak-Plewinska, Warsaw Univ. of Technology (Poland); Miroslaw Kowalski, Institute of Cardiology (Poland); Krzysztof Kaluzynski, Warsaw Univ. of Technology (Poland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-43]

Novel measurement setup for evaluation of left ventricle motion and strain tracking methods, Beata Lesniak-Plewinska, Jakub Zmigrodzki, Szymon Cygan, Krzysztof Kaluzynski, Warsaw Univ. of Technology (Poland) . . . . . . . . . [10139-44]

Ultrasound Tomography and ReconstructionUsing deep learning for accurate probe position determination in sensor-less freehand ultrasound reconstruction, Olivier Bockenbach, TechGmbh.Com (Germany); Bruno Vetel, Advanced Real Time Technology (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-45]

Limb muscle sound speed estimation by ultrasound computed tomography excluding receivers in bone shadow, Xiaolei Qu, Takashi Azuma, Hongxiang Lin, Hideki Takeuchi, The Univ. of Tokyo (Japan); Kazunori Itani, Satoshi Tamano, Hitachi, Ltd. (Japan); Shu Takagi, Ichiro Sakuma, The Univ. of Tokyo (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-46]

Ultrasound Image AnalysisNon-stationary blind deconvolution of medical ultrasound scans, Oleg V. Michailovich, Univ. of Waterloo (Canada) . . . . . . . . . . . . . . . . . . [10139-47]

Increased clutter level in echocardiography due to specular reflection, Ali Fatemi, Hans Torp, Svend Aakhus, Alfonso Rodriguez-Molares, Norwegian Univ. of Science and Technology (Norway) . . . . . . . . . . . . . . . . . . . . . . [10139-48]

Region growing segmentation of ultrasound images using gradients and local statistics, Sonia H. Contreras-Ortiz, I. M. Mercado-Aguirre, Y. Castrillo, Univ. Tecnológica de Bolívar (Colombia) . . . . . . . . . . . . . . . . . . . . . . . . [10139-49]

Respiratory motion correction of liver contrast-enhanced ultrasound sequences by selecting reference image automatically, Ji Zhang, Zhongnan Hospital of Wuhan Univ. (China); Yanrong Zhang, Juan Chen, Wuhan Union Hospital, Tongji Medical College, Huazhong Univ. of Science and Technology (China); Xiaohui Chen, Xiaoli Zhong, Zhongnan Hospital of Wuhan Univ. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-50]

Estimating cardiac fiber orientations in pig hearts using registered ultrasound/MR volumes, James D. Dormer, Georgia Institute of Technology (USA); Yuguang Meng, Xiaodong Zhang, Yerkes National Primate Research Ctr., Emory Univ. (USA); Rong Jiang, Mary B. Wagner, Emory Univ. (USA); Baowei Fei, Emory Univ. (USA) and Georgia Institute of Technology (USA) . . . . . . . [10139-51]

A comparison of automated versus manual segmentation of breast UST transmission images to measure breast volume and sound speed, Mark A. Sak, Neb Duric, Peter J. Littrup, Katelyn Westerberg, Delphinus Medical Technologies, Inc. (USA); Lisa Bey-Knight, Karmanos Cancer Institute, Wayne State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-52]

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Photoacoustic ImagingThermoacoustic image reconstruction based on layered tissue model, Hazel Bayintir, Istanbul Technical Univ. (Turkey) and Isik Univ. (Turkey); Demet Elmas, Istanbul Technical Univ. (Turkey) and Isik Univ. (Turkey); Mustafa Karaman, Istanbul Technical Univ. (Turkey); Mithat Idemen, Okan Univ. (Turkey); Banu Uzun, Isik Univ. (Turkey) . . . . . . . . . . . . . . . . . . . . . . . . . [10139-53]

Linking transducer transfer function with multi-pulse excitation photoacoustic response, Maxim N. Cherkashin, Carsten Brenner, Widodo D. Putro, Benjamin Döpke, Nils C. Gerhardt, Martin R. Hofmann, Ruhr-Univ. Bochum (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-54]

Broadband optoacoustic characterization of cMUT and PZT transducer directivity in receive mode, Johannes Rebling, Institut für Biologische und Medizinische Bildgebung, Helmholtz Zentrum München (Germany) and Technische Univ. München (Germany); Omri Warshavski, Cyril Meynier, Vermon S.A. (France); Daniel Razansky, Institut für Biologische und Medizinische Bildgebung, Helmholtz Zentrum München GmbH (Germany) and Technische Univ. München (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-55]

Photoacoustic simulation study of chirp excitation response from different size absorbers, Kamal Jnawali, Rochester Institute of Technology (USA); Bhargava Chinni, Vikram Dogra, Univ. of Rochester (USA); Navalgund Rao, Rochester Institute of Technology (USA) . . . . . . . . . . . . . . . . . . . . . . . . [10139-56]

Contrast ImagingNovel fluorescence nanobubbles for contrast-enhanced ultrasound imaging in a rabbits liver VX2 hepatocellular carcinoma model, Houqiang Yu, Huazhong Univ. of Science and Technology (China) . . . . . . . . . . . . . . . [10139-57]


LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . .THU 8:00 AM TO 9:40 AM

Ultrasound Tomography IISession Chair: Neb Duric, Delphinus Medical Technologies, Inc. (USA)

8:00 am: Optimal experimental design to position transducers in ultrasound breast imaging, Naiara Korta Martiartu, Christian Boehm, Nicolas Vinard, ETH Zürich (Switzerland); Ivana Jovanovic Balic, SonoView Acoustic Sensing Technologies (Switzerland); Andreas Fichtner, ETH Zürich (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-21]

8:20 am: Limited angle breast ultrasound tomography with a priori information and artifact removal, Rungroj Jintamethasawat, Univ. of Michigan (USA); Yunhao Zhu, Nanjing Univ. (China); Oliver D. Kripfgans, Univ. of Michigan (USA); Jie Yuan, Nanjing Univ. (China); Mitchell M. Goodsitt, Paul L. Carson, Univ. of Michigan (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-22]

8:40 am: Improved misfit function for attenuation and speed reconstruction in ultrasound computed tomography, Mailyn Pérez-Liva, Joaquin L. Herraiz, Jose M. Udías, Univ. Complutense de Madrid (Spain) . . . . . . . . . . . . . . [10139-23]

9:00 am: Image reconstruction for ultrasound computed tomography by use of the regularized dual averaging method, Thomas P. Matthews, Kun Wang, Washington Univ. in St. Louis (USA); Cuiping Li, Delphinus Medical Technologies, Inc. (USA); Neb Duric, Delphinus Medical Technologies, Inc. (USA) and Karmanos Cancer Institute, Wayne State Univ. (USA); Mark A. Anastasio, Washington Univ. in St. Louis (USA). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-24]

9:20 am: Time of flight interpolated synthetic aperture focusing technique, Nicole V. Ruiter, Ernst Kretzek, Michael Zapf, Torsten Hopp, Hartmut E. Gemmeke, Karlsruher Institut für Technologie (Germany) . . . . . . . . . . . [10139-25]


SESSION 6LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . THU 10:10 AM TO 12:10 PM

Joint Session with Conferences MI104 and MI108

Ultrasound Image GuidanceSession Chairs: Purang Abolmaesumi,

The Univ. of British Columbia (Canada); Jeffrey C. Bamber, The Royal Marsden NHS Foundation Trust (United Kingdom)

10:10 am: Backscattering analysis of high frequency ultrasonic imaging for ultrasound-guided breast biopsy, Thomas Cummins, The Univ. of Southern California (USA); Takahiro Akiyama, Univ. of Southern California (USA); Changyang Lee, Univ. of California, Davis (USA); Sue E. Martin, K. Kirk Shung, The Univ. of Southern California (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-26]

10:30 am: Intraoperative 3D ultrasound guidance system for permanent breast seed implantation, Justin A. Michael, Robarts Research Institute (Canada); Deidre L. Batchelar, BC Cancer Research Ctr. (Canada); Aaron Fenster, Robarts Research Institute (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-46]

10:50 am: Evaluation of an interactive ultrasound-based breast tumor contouring workflow, Aniqah T. Mair, Thomas A. Vaughan, Tamas Ungi, Andras Lasso, Lab. for Percutaneous Surgery (Canada); C. Jay Engel, School of Medicine, Queen’s Univ. (Canada); Gabor Fichtinger, Lab. for Percutaneous Surgery (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-47]

11:10 am: Development of a high frequency single-element ultrasound needle transducer for anesthesia delivery, Golafsoun Ameri, Robarts Research Institute, Western Univ. (Canada); Jungik Son, Sunnybrook Health Sciences Ctr. (Canada); F. Stuart Foster, Sunnybrook Health Sciences Ctr. (Canada) and Univ. of Toronto (Canada); Sugantha Ganapathy, Univ. of Western Ontario (Canada) and London Health Sciences Ctr. (Canada); Terry M. Peters, Robarts Research Institute, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-27]

11:30 am: Modeling of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order, Layan Nahlawi, Caroline Goncalves, Queen’s Univ. (Canada); Farhad Imani, The Univ. of British Columbia (Canada); Mena Gaed, Robarts Research Institute (Canada); José A. Gómez, Madeleine Moussa, Western Univ. (Canada); Eli D. Gibson, Univ. College London (United Kingdom); Aaron Fenster, Robarts Research Institute (Canada); Aaron D. Ward, Western Univ. (Canada); Purang Abolmaesumi, The Univ. of British Columbia (Canada); Parvin Mousavi, Queen’s Univ. (Canada); Hagit Shatkay, Univ. of Delaware (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10135-48]

11:50 am: 360-degree 3D transvaginal ultrasound system for high-dose-rate interstitial gynaecological brachytherapy needle guidance, Jessica R. Rodgers, Robarts Research Institute, Western Univ. (Canada); Kathleen Surry, David D’Souza, London Regional Cancer Program, London Health Sciences Ctr. (LHSC) (Canada); Eric Leung, Odette Cancer Ctr., Sunnybrook Health Sciences Ctr. (Canada); Aaron Fenster, Robarts Research Institute, Western Univ. (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-28]


SESSION 7LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . .THU 1:20 PM TO 3:00 PM

New Applications of Ultrasound in Medicine and Biology

Session Chair: Mark A. Anastasio, Washington Univ. in St. Louis (USA)

1:20 pm: Wave intensity analysis in mice: an ultrasound-based study in the abdominal aorta and common carotid artery, Nicole Di Lascio, Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche (Italy) and Scuola Superiore Sant’Anna (Italy); Claudia Kusmic, Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche (Italy); Francesco Stea, Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche (Italy) and Univ. di Pisa (Italy); Francesco Faita, Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche (Italy) . . [10139-29]

1:40 pm: A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting, Thomas L. A. van den Heuvel, Radboud Univ. Medical Ctr., Radboud Univ. Nijmegen (Netherlands); Hezkiel Petros, Stefano Santini, St. Luke’s Catholic Hospital and College of Nursing and Midwifery (Ethiopia); Chris L. de Korte, Bram van Ginneken, Radboud Univ. Medical Ctr., Radboud Univ. Nijmegen (Netherlands) . . . . . . . . . . [10139-30]

2:00 pm: Examining breast parenchymal changes in women undergoing Tamoxifen treatment using UST waveform imaging, Mark A. Sak, Neb Duric, Peter J. Littrup, Delphinus Medical Technologies, Inc. (USA); Lisa Bey-Knight, Karmanos Cancer Institute, Wayne State Univ. (USA); Mark E. Sherman, Gretchen L. Gierach, National Cancer Institute, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-31]

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2:20 pm: Adaptive kernel regression for freehand 3D ultrasound reconstruction, Abdel-Latif Alshalalfah, German Jordanian Univ. (Jordan); Mohammad I. Daoud, German Jordanian Univ. (Jordan) and Concordia Univ. (Canada); Mahasen Al-Najar, Jordan Univ. Hospital (Jordan) . . . . . . . . . [10139-32]

2:40 pm: Quantitative 3D high resolution transmission ultrasound tomography: creating clinically relevant images, James Wiskin, John Klock, Elaine Iuanow, David T. Borup, Robin Terry, Bilal H. Malik, Mark Lenox, QT Ultrasound LLC (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-33]


SESSION 8LOCATION: OCEANS 2 . . . . . . . . . . . . . . . . . . . . . .THU 3:30 PM TO 5:30 PM

Novel Beamforming TechniquesSession Chair: Olivier Roy, Delphinus Medical Technologies, Inc. (USA)

3:30 pm: Speed of sound estimation for dual-stage virtual source ultrasound beamforming using point scatterers, Manyou Ma, Robert N. Rohling, Lutz Lampe, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . [10139-34]

3:50 pm: Phase-factor based beamforming to improve the visualization of hyper-echoic targets, Bo Zhuang, Robert N. Rohling, Purang Abolmaesumi, The Univ. of British Columbia (Canada) . . . . . . . . . . . . . . . . . . . . . . . . . [10139-35]

4:10 pm: Aperture domain model image reconstruction (ADMIRE) with plane wave synthesis, Kazuyuki Dei, Jaime E. Tierney, Brett C. Byram, Vanderbilt Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-36]

4:30 pm: Minimum variance beamformers for coherent plane-wave compounding, Nghia Nguyen, Richard W. Prager, Univ. of Cambridge (United Kingdom) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-37]

4:50 pm: Sequential CPWC: From ultrafast to ultralight, Alfonso Rodriguez-Molares, Hans Torp, Lasse Løvstakken, Norwegian Univ. of Science and Technology (Norway) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10139-38]

5:10 pm: Three-dimensional robotic synthetic tracked aperture ultrasound imaging: feasibility study, Haichong K. Zhang, Ting Yun Fang, Rodolfo Finocchi, Emad M. Bocotor, Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . [10139-39]

CONFERENCE 10139


CONFERENCE 10140Sunday–Monday 12–13 February 2017 • Proceedings of SPIE Vol. 10140

Digital PathologyConference Chairs: Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA); John E. Tomaszewski, Univ. at Buffalo (USA)

Program Committee: Selim Aksoy, Bilkent Univ. (Turkey); Ulysses J. Balis, Univ. of Michigan Health System (USA); Rohit Bhargava, Univ. of Illinois at Urbana-Champaign (USA); Ulf-Dietrich Braumann, Hochschule für Technik, Wirtschaft und Kultur Leipzig (Germany); Eric Cosatto, NEC Labs. America, Inc. (USA); Scott Doyle, Rutgers, The State Univ. of New Jersey (USA); Michael D. Feldman, The Univ. of Pennsylvania Health System (USA); David J. Foran, Rutgers Cancer Institute of New Jersey (USA); Brandon D. Gallas, U.S. Food and Drug Administration (USA); Marios A. Gavrielides, U.S. Food and Drug Administration (USA); Tom R. L. Kimpe, Barco N.V. (Belgium); Elizabeth A. Krupinski, The Univ. of Arizona (USA); Richard M. Levenson, Univ. of California, Davis (USA); Olivier Lezoray, Univ. de Caen Basse-Normandie (France); Anant Madabhushi, Case Western Reserve Univ. (USA); Derek R. Magee, Univ. of Leeds (United Kingdom); Anne L. Martel, Sunnybrook Research Institute (Canada); Erik Meijering, Erasmus MC (Netherlands); James P. Monaco, Inspirata, Inc. (USA); Mehdi Moradi, IBM Research - Almaden (USA); Bahram Parvin, Lawrence Berkeley National Lab. (USA); Josien P. W. Pluim, Image Sciences Institute (Netherlands); Nasir M. Rajpoot, Qatar Univ. (Qatar); Gustavo Kunde Rohde, Carnegie Mellon Univ. (USA); Berkman Sahiner, U.S. Food and Drug Administration (USA); Chukka Srinivas, Ventana Medical Systems, Inc. (USA); Darren Treanor, Univ. of Leeds (United Kingdom); Jeroen van der Laak, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); Aaron D. Ward, The Univ. of Western Ontario (Canada); Martin J. Yaffe, Sunnybrook Research Institute (Canada); Bülent Yener, Rensselaer Polytechnic Institute (USA)

SUNDAY 12 FEBRUARY



SESSION 1LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .SUN 1:20 PM TO 3:00 PM

Emerging TechnologiesSession Chairs: Brandon D. Gallas, U.S. Food and Drug Administration

(USA); Scott Doyle, Univ. at Buffalo (USA)

1:20 pm: Determining local and contextual features describing appearance of less easily identifiable mitotic figures, Ziba Gandomkar, Patrick C. Brennan, Claudia R. Mello-Thoms, The Univ. of Sydney (Australia) . . . . . . . . . . . . . [10140-1]

1:40 pm: Fast clustering in linear independent 1D subspaces: segmentation of microscopic image of unstained specimens, Ivica Kopriva, Institut Ruder Boškovic (Croatia) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-2]

2:00 pm: Applications of quantum cascade laser mid-infrared imaging to the advancement of pathology, Hari Sreedhar, Vishal K. Varma, Univ. of Illinois at Chicago (USA); Benjamin Bird, Daylight Solutions Inc. (USA); Grace Guzman, Michael J. Walsh, Univ. of Illinois at Chicago (USA) . . . . . . . . . . . . . . . . . [10140-3]

2:20 pm: Data-driven sampling method for building 3D anatomical models from serial histology, Scott Doyle, Snehal Salunke, Tova Ablove, Theresa Danforth, John E. Tomaszewski, Univ. at Buffalo (USA) . . . . . . . . . . . . . . [10140-4]

2:40 pm: Automatic evaluation of skin histopathological images for melanocytic features, Mohaddeseh Koosha, Amirkabir Univ. of Technology (Iran, Islamic Republic of); Seyed Pourya Hoseini Alinodehi, Mircea Nicolescu, Univ. of Nevada, Reno (USA); Zahra Safaei Naraghi, Razi Hospital, Tehran Univ. of Medical Sciences (Iran, Islamic Republic of) . . . . . . . . . . . . . . . . . . . . . . . [10140-5]


SESSION 2LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . .SUN 3:30 PM TO 5:30 PM

Detection and SegmentationSession Chairs: Elizabeth A. Krupinski, Emory Univ. School of Medicine

(USA); Mehdi Moradi, IBM Research - Almaden (USA)

3:30 pm: Automated wholeslide analysis of multiplex-brightfield IHC images for cancer cells and carcinoma-associated fibroblasts, Auranuch Lorsakul, Ventana Medical Systems, Inc. (USA) and Roche Tissue Diagnostics (USA); Emilia Andersson, Roche Diagnostics GmbH (Germany); Suzana Vega Harring, Hadassah Sade, Oliver Grimm, Roche Innovation Ctr. Munich (Germany); Joerg Bredno, Ventana Medical Systems, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . [10140-6]

3:50 pm: Lumen-based detection of prostate cancer via convolutional neural networks, Jin Tae Kwak, Sejong Univ. (Korea, Republic of); Stephen M. Hewitt, National Institutes of Health (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-7]

4:10 pm: Hierarchical patch-based co-registration of differently stain histopathology slides, Mehmet Yigitsoy, Günter Schmidt, Gerd Binnig, Definiens AG (Germany) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-8]

4:30 pm: Automated high-grade prostate cancer detection and ranking on whole slide images, Chao-Hui Huang, Agency for Science, Technology and Research (Singapore); Daniel Racoceanu, Univ. Pierre et Marie Curie (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-9]

4:50 pm: Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks, Sebastian Krappe, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany) and Computer Graphics Group, Friedrich-Alexander-Univ. Erlangen-Nuremberg (FAU) (Germany); Michaela Benz, Alexander Gryanik, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany); Egbert Tannich, Christine Wegner, Bernhard Nocht Institute for Tropical Medicine, Univ. Hamburg (Germany); Thomas Wittenberg, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany) and Computer Graphics Group, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Marc Stamminger, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Chrisitan Münzenmayer, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany) . . . . . . . . . . . . . . . . . . . . . . . . [10140-10]

5:10 pm: A model of tumor architecture and spatial interactions with the microenvironment in breast carcinoma, Bassem Ben Cheikh, UPMC Sorbonne Univ. (France); Catherine Bor Angelier, UNICANCER (France); Daniel Racoceanu, UPMC Sorbonne Univ. (France) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-11]

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LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . MON 8:00 AM TO 9:40 AM

Precision Medicine and GradingSession Chairs: Bülent Yener, Rensselaer Polytechnic Institute (USA);

Selim Aksoy, Bilkent Univ. (Turkey)

8:00 am: Identification and characterization of neutrophil extracellular trap shapes in flow cytometry, Brandon Ginley, Univ. at Buffalo (USA); Tiffany Emmons, Roswell Park Cancer Institute (USA); Constantin Urban, Umeå Univ. (Sweden); Brahm H. Segal, Roswell Park Cancer Institute (USA); Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-12]

8:20 am: FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage, Caglar Senaras, Michael Pennell, The Ohio State Univ. (USA); Weijie Chen, Berkman Sahiner, U.S. Food and Drug Administration (USA); Arwa Shana’ah, The Ohio State Univ. (USA); Abner Louissaint, Robert P. Hasserjian, Massachusetts General Hospital (USA); Gerard Lozanski, The Ohio State Univ. Wexner Medical Ctr. (USA); Metin N. Gurcan, The Ohio State Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-13]

8:40 am: Context-sensitive patch histograms for detecting rare events in histopathological data, Kristians E. Diaz Rojas, Maximilian Baust, Technische Univ. München (Germany); Nassir Navab, Technische Univ. München (Germany) and Johns Hopkins Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-14]

9:00 am: Automatic computational labeling of glomerular textural boundaries, Brandon Ginley, John E. Tomaszewski, Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-15]

9:20 am: Convolutional neural networks for prostate cancer recurrence prediction, Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Indian Institute of Technology Guwahati (India); Peter H. Gann, Univ. of Illinois at Chicago (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-16]


SESSION 4LOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . .MON 10:10 AM TO 12:10 PM

Keynote and TrendsSession Chairs: Michael D. Feldman, The Univ. of Pennsylvania Health System (USA); Martin Yaffe, Sunnybrook Research Institute (Canada)

10:10 am: Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology, Brendon Lutnick, John E. Tomaszewski, Pinaki Sarder, Univ. at Buffalo (USA) . . . . . . . . . . . . . . . . [10140-17]

10:30 am: A computational framework to detect normal and tuberculosis Infected lung from H&E-stained whole slide images, Muhammad Khalid Khan Niazi, The Ohio State Univ. Medical Ctr. (USA); Gillian Beamer, Tufts Univ. (USA); Metin N. Gurcan, The Ohio State Univ. Wexner Medical Ctr. (USA) . . . . [10140-18]

10:50 am: Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis, Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin Kurc, Allen Tannenbaum, Joel Saltz, Yi Gao, Stony Brook Univ. (USA). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-19]

11:10 am: Image based risk score (Ibris) predictor: identifying disease aggressiveness using sub-visual image cues from image data (Keynote Presentation), Anant Madabhushi, Case Western Reserve Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-20]

POSTER AWARD ANNOUNCEMENTSLOCATION: OCEANS 4 . . . . . . . . . . . . . . . . . . . . 12:10 PM TO 12:15 PM

The Digital Pathology conference poster award recipients will be recognized and certificates distributed.









Session Chairs: Aaron D. Ward, Western Univ. (Canada); James P. Monaco, Inspirata, Inc. (USA);

Josien P. W. Pluim, Technische Univ. Eindhoven (Netherlands)

Posters for this conference will be on display Sunday and Monday. The poster session with authors in attendance will be on Monday evening from 5:30 to 7:00 pm. Poster awards will be announced in the conference meeting room on Monday before the lunch break.

Automated epidermis segmentation in histopathological images of human skin stained with hematoxylin and eosin, Pawel Kleczek, AGH Univ. of Science and Technology (Poland); Grzegorz Dyduch, Jagiellonian Univ. Medical College (Poland); Joanna Jaworek-Korjakowska, Ryszard Tadeusiewicz, AGH Univ. of Science and Technology (Poland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-21]

Automated cancer stem cell recognition in H&E stained tissue using convolutional neural networks and color deconvolution, Wolfgang Aichinger, Christian Münzenmayer, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany); Sebastian Krappe, Computer Graphics Group, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany) and Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany); Marc Stamminger, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany); Thomas Wittenberg, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany); Rengul Cetin-Atalay, Cancer Systems Biology Lab., Middle East Technical Univ. (Turkey); Michaela Benz, Fraunhofer-Institut für Integrierte Schaltungen (IIS), Fraunhofer-Gesellschaft (Germany); Aysegül Üner, Hacettepe Univ. (Turkey); A. Enis Cetin, Bilkent Univ. (Turkey) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-22]

Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score, Oscar A. Jiménez del Toro, MedGIFT (Switzerland) and Univ. de Genève (Switzerland); Manfredo Atzori, MedGIFT (Switzerland); Mats T. Andersson, Kristian Eurén, Martin D. G. Hedlund, Peter Rönnquist, ContextVision AB (Sweden); Henning Müller, MedGIFT (Switzerland) and Univ. de Genève (Switzerland) and Athinoula A. Martinos Ctr. for Biomedical Imaging (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-23]

Disease grading of heterogeneous tissue using convolutional autoencoder, Erwan Zerhouni, Bogdan Prisacari, IBM Research - Zürich (Switzerland); Qing Zhong, Peter Wild, UniversitätsSpital Zürich (Switzerland); Maria Gabrani, IBM Research - Zürich (Switzerland) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-24]

A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data, Aritra Chowdhury, Rensselaer Polytechnic Institute (USA); Christopher J. Sevinsky, Alberto Santamaria-Pang, GE Global Research (USA); Bülent Yener, Rensselaer Polytechnic Institute (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-25]

Evaluating color performance of whole-slide imaging devices by multispectral-imaging of biological tissues, Firdous Saleheen, Temple Univ. (USA) and U.S. Food and Drug Administration (USA); Aldo Badano, Wei-Chung Cheng, U.S. Food and Drug Administration (USA) . . . . . . . . . . . . . . . . . [10140-26]

Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks, Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels C. Overgaard, Lund Univ. (Sweden); Agnieszka Krzyzanowska, Lund Univ. (Sweden) and Skåne Univ. Hospital (Sweden); Anders Bjartell, Lund Univ. (Sweden) and Skåne Univ. Hospital (Sweden); Anders Heyden, Lund Univ. (Sweden); Kalle Åström, Lund Univ. (Sweden) . . . . . . . . . . . [10140-27]

CONFERENCE 10140


Detection and classifying of prostate cancer by geometric measurements, Claus Stoepel, Timo Greim, Univ. Leipzig (Germany) . . . . . . . . . . . . . . . [10140-28]

Integrative analysis on histopathological image for identifying cellular heterogeneity, Young Hwan Chang, Oregon Health & Science Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-29]

Extraction of glomerulus in whole slide imaging of kidney biopsy specimens, Masahiro Ishikawa, Sumire Watanabe, Natsuki Honda, Naoki Kobayashi, Saitama Medical Univ. (Japan); Tokiya Abe, Keio Univ. (Japan); Akinori Hashiguchi, Michiie Sakamoto, Keio Univ. School of Medicine (Japan) . . . . . . . . . . . . . . . . . [10140-30]

Unsupervised segmentation of H&E breast images, Tyna Hope, Sunnybrook Research Institute (Canada); Martin Yaffe, Sunnybrook Research Institute (Canada) and Univ. of Toronto (Canada) . . . . . . . . . . [10140-31]

Optimized color decomposition of localized whole slide images and convolutional neural network for intermediate prostate cancer classification, Naiyun Zhou, Yi Gao, Stony Brook Univ. (USA) . . . . . . . . . . . . . . . . . . . [10140-32]

Topological descriptors for quantitative prostate cancer morphology analysis, Peter J. Lawson, Tulane Univ. (USA); Eric Berry, Montana State Univ. (USA); J. Quincy Brown, Tulane Univ. (USA); Brittany T. Fasy, Montana State Univ. (USA); Carola Wenk, Tulane Univ. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . [10140-33]

Panning artifacts in digital pathology images, Ali R. N. Avanaki, Barco, Inc. (USA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-34]

In vivo terahertz pulsed spectroscopy of dysplastic and non-dysplastic nevi of the skin, Nikita V. Chernomyrdin, Bauman Moscow State Technical Univ. (Russian Federation); Igor V. Reshetov, I.M. Sechenov Moscow Medical Academy (Russian Federation); Anastasiya D. Lesnichaya, Bauman Moscow State Technical Univ. (Russian Federation); Konstantin G. Kudrin, Institute of Improvement of Professional Skill of the Federal Medico-Biological Agency of Russia (Russian Federation); Valeriy E. Karasik, Stanislav O. Yurchenko, Kirill I. Zaytsev, Bauman Moscow State Technical Univ. (Russian Federation) . . . . . . . . . . . . . . . [10140-35]

Tissue classification of liver pathological tissue specimens image using spectral features, Emi Hashimoto, Graduate School of Engineering, Utsunomiya Univ. (Japan); Masahiro Ishikawa, Saitama Medical Univ. (Japan); Kazuma Shinoda, Madoka Hasegawa, Graduate School of Engineering, Utsunomiya Univ. (Japan); Hideki Komagata, Naoki Kobayashi, Saitama Medical Univ. (Japan); Naoki Mochidome, Yoshinao Oda, Graduate School of Medical Sciences, Kyushu Univ. (Japan); Chika Iwamoto, Kyushu Univ. (Japan); Kenoki Ohuchida, Graduate School of Medical Sciences, Kyushu Univ. (Japan); Makoto Hashizume, Kyushu Univ. (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-36]

Color normalization of histology slides using graph regularized sparse NMF, Lingdao Sha, Dan Schonfeld, Univ. of Illinois at Chicago (USA); Amit Sethi, Indian Institute of Technology Guwahati (India) . . . . . . . . . . . . . . . . . . . [10140-37]

Frequency analysis of gaze point with CT colonography interpretation using eye gaze tracking system, Shoko Tsutsumi, Wataru Tamashiro, Gunma Prefectural College of Health Sciences (Japan); Mitsuru Sato, Gunma Prefectural College of Health Sciences (Japan) and Japanese Red Cross Society Maebashi Red Cross Hospital (Japan); Mika Okajima, Japanese Red Cross Society Maebashi Red Cross Hospital (Japan) . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-38]

Application of machine learning for in vivo identification of at risk cervical tissue using multispectral digital colposcope images, Nilgoon Zarei, The Univ. of British Columbia (Canada) and BC Cancer Research Ctr. (Canada); Dirk Van Nekirk, Michael Smith Genome Sciences Ctr., British Columbia Cancer Research Ctr. (Canada); Dennis D. Cox, Rice Univ. (USA); Pierre M. Lane, BC Cancer Research Ctr. (Canada); E. Neely Atkinson, Rice Univ. (USA); Jose-Miguel Yamal, The Univ. of Texas Health Science Ctr. at Houston (USA); Leonid Fradkin, The Brookdale Univ. Hospital and Medical Ctr. (USA); Dan M. Serachitopol, Rice Univ. (USA); Sylvia F. Lam, BC Cancer Research Ctr. (Canada); Dianne M. Miller, Vancouver General Hospital (Canada); Jessica N. McAlpine, Thomas Ehlen, Sarah Finlayson, Janice Kwon, Marette Lee, Vancouver General Hospital, Vancouver Coastal Health (Canada); Zuber Mulla, Texas Tech Univ. Health Sciences Ctr. (USA); Colin L. Schlosser, BC Cancer Research Ctr. (Canada); Kayla Castaneda, Felipe Castaneda, Michele Follen, The Brookdale Univ. Hospital and Medical Ctr. (USA); Calum E. MacAulay, BC Cancer Research Ctr. (Canada) . . . . . . [10140-39]

Content-based histopathological image retrieval for whole slide image database using binary codes, Yushan Zheng, Zhi Guo Jiang, Yibing Ma, Haopeng Zhang, Feng-Ying Xie, Image Processing Ctr., Beihang Univ. (China) and Beijing Key Lab. of Digital Media, Beihang Univ. (China); Huaqiang Shi, Motic Medical Diagnostic Systems Co., Ltd. (China) and General Hospital of hte Air Force (China); Yu Zhao, Motic Medical Diagnostic Systems Co., Ltd. (China) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [10140-40]

CONFERENCE 10140

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10132 DL 10132 Medical Imaging 2017: Physics of Medical Imaging $230 Thomas G. Flohr, Joseph Y. Lo, Taly Gilat Schmidt

10133 DL 10133 Medical Imaging 2017: Image Processing $200 Martin A. Styner, Elsa D. Angelini, Ulas Bagci

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CHOOSE FROM 11 COURSES AND WORKSHOPS:• Fundamentals of Medical Image Processing and Analysis

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Courses

Fundamentals of Medical Image Processing and AnalysisSC086 • Course Level: IntermediateCEU: 0.7 • $495 Members • $585 Non-Members USD SPIE Student Members: $264Saturday 8:30 am to 5:30 pm

This course gives an overview of medical image formation, enhancement, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduction to medical imaging modalities and acquisition systems. Basic approaches to display one-, two-, and three-dimensional (3D) biomedical data are introduced. As a focus, image enhancement techniques, segmentation, texture analysis and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced.

In addition to this theoretical background, a 45 min practical demonstra-tion with ImageJ is given. ImageJ is a Java-based platform for medical image enhancement and visualization. It is developed by the National Institutes of Health, USA, open source and freely available in the public domain. For this course, ImageJ is appropriately configured with useful plug-ins (e.g. DICOM import, 3D rendering) and distributed on CD-ROM. Attendees are welcome to perform on their own laptop computers.

LEARNING OUTCOMESThis course will enable you to:• identify major processes involved in formation of medical images• recognize the imaging modality from their visualization• classify the various medical image processing algorithms• describe fundamental methods of image enhancement• enhance medical images using appropriate software• visualize all types of medical image data• appraise efficacy and drawbacks of several techniques of image

segmentation• get familiar with the fundamental concepts of texture analysis• explain the basic principles of medical image communication• get started with ImageJ and self-perform fundamentals of medical

image processing

INTENDED AUDIENCEEngineers, scientists, biomedical researchers and managers who need a basic understanding of medical image processing technologies and methods. Some prior background with image processing and computer technology will be helpful.

INSTRUCTORThomas Deserno (né Lehmann), PhD, is full professor of Medical In-formatics at RWTH Aachen University, Germany, where he heads the Division of Image and Data Management. He lectures graduate courses on biomedical imaging and image processing, co-authored the text Image Processing for the Medical Sciences (1997), and edited the Hand-book of Medical Informatics (2005) and Biomedical Image Processing (2011). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image retrieval from large medical databases. He has authored over 100 scientific publications, is Senior Member of IEEE and SPIE and a member of IADMFR, serves on the International Editorial Boards of Dentomaxillofacial Radiology, Methods of Information in Medicine, World Journal of Radiology, and The Scientific World Journal, and he is Co-editor Europe of the International Journal of Healthcare Information Systems and Informatics.

Graph Algorithmic Techniques for Biomedical Image SegmentationSC1026 • Course Level: IntermediateCEU: 0.4 • $285 Members • $335 Non-Members USD SPIE Student Members: $164Saturday 1:30 pm to 5:30 pm

This course provides an in-depth overview of two state-of-the-art graph-based methods for segmenting three-dimensional structures in medical images: graph cuts and the LOGISMOS (Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces) approach. Such graph-based approaches are becoming increasingly used in the medical image analysis community, in part, due to their ability to effi-ciently produce globally optimal three-dimensional segmentations in a single pass (not requiring an iterative numerical scheme). Additionally, LOGISMOS enables the simultaneous optimal detection of multiple sur-faces in volumetric images, which is important in many medical image segmentation applications. In the first part of the course, we provide a broad overview of both graph cuts and the LOGISMOS approach, including the presentation of a number of example applications. In the second and third parts of the course, we present the algorithmic details of graph cuts and the LOGISMOS approach, respectively. In the final part of the course, we discuss the design of cost functions, which is of paramount importance in any graph-based approach.

LEARNING OUTCOMESThis course will enable you to:• describe the basic graph-theoretic concepts underlying graph cuts

and the LOGISMOS approach• explain some of the advantages and disadvantages of using graph-

based segmentation approaches• identify applications for graph-based segmentation approaches• describe how graph cuts can be used to segment regions in

volumetric images• describe how the LOGISMOS approach can be used to detect

optimal single surfaces in volumetric images• describe how the LOGISMOS approach can be used to detect

multiple interacting surfaces in volumetric images• list major categories of cost functions for use in graph-based

segmentation approaches• design cost functions for medical image segmentation examples

INTENDED AUDIENCEThis course is designed for engineers and researchers not currently familiar with advanced graph-based image segmentation methodology with an interest in obtaining an overview of the subject. It assumes a basic background in digital image processing, but does not require prior exposure to graph-based image segmentation techniques.

INSTRUCTORMona Garvin Ph.D., is an associate professor in the Department of Electrical and Computer Engineering at the University of Iowa and a research health science specialist at the VA Center for the Prevention and Treatment of Visual Loss in Iowa City, Iowa. Dr. Garvin teaches un-dergraduate and graduate courses in digital image processing, graph algorithms, and computer programming. In 2011, she was selected to participate in the National Academy of Engineering’s Frontiers of Engi-neering Education Symposium and in 2013, she was the recipient of the Faculty Excellence Award for Teaching in the College of Engineering at The University of Iowa. Her research interests include medical image analysis and ophthalmic imaging.

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ROC Analysis and Observer Studies to Evaluate Imaging TechnologySC1127 • Course Level: IntroductoryCEU: 0.7 • $495 Members • $585 Non-Members USD SPIE Student Members: $264Saturday 8:30 am to 5:30 pm

Short of a clinical trial, observer studies are used to measure the per-formance of radiologists and to compare different imaging technologies with the aim of understanding how the technology might be used clin-ically. The goal of this course is to provide guidance on how to design, conduct, and analyze an observer study. We will examine how to plan an observer study, step by step, and then how to implement the plan in detail. The focus will be on pitfalls and common mistakes.

We will review basic ROC analysis and commonly used methods for analyzing multireader, multicase (MRMC) ROC observer data. Related software and sample-size estimation will also be discussed and demon-strated using real datasets.

The participants will take part in some simulated reader studies using a computer interface, compete for prizes, and depart with a better under-standing of reader studies of diagnostic imaging devices.

LEARNING OUTCOMESThis course will enable you to:• design an observer study to avoid or minimize biases• determine how to select cases and observers• estimate the number of cases and observers to provide sufficient

power using free ROC software• recognize limitations of the observer study paradigm• analyze data from multireader multicase (MRMC) diagnostic test

studies using freely available ROC software• list recent developments and limitations for MRMC methods• explain the relationship among statistical metrics measured in

imaging studies and what factors affect these metrics• perform your own reader study to validate an imaging device• know what readers experience in an imaging study

INTENDED AUDIENCEResearchers, scientists, or reviewers who are interested in performing, participating in, analyzing data from, or just knowing more about reader studies for evaluating imaging devices. Basic knowledge of statistics is assumed.

INSTRUCTORStephen Hillis is a Research Professor in the Departments of Radiology and Biostatistics at the University of Iowa. He has been a leader in the development of methods for analyzing multi-reader multi-case (MRMC) diagnostic test studies. He earned a Ph.D. in statistics from the University of Iowa and has worked extensively on many projects as a biostatistician.

Robert Nishikawa is a Professor of Radiology at the University of Pittsburgh. He has over 25 years of experience in characterizing and optimizing x-ray imaging systems and computer-aided diagnosis sys-tems. He has performed many observer studies in his laboratory and has performed studies to help companies obtain FDA approval. He also consults with medical imaging companies on designing observer studies and has participated on mock FDA panels.

Frank Samuelson is a physicist with the US Food and Drug Administra-tion. For the last 10 years he has performed research in imaging device evaluation, reviewed studies of imaging devices submitted to the FDA, and presented courses like this one to FDA staff. Previously he analyzed images from high-energy cosmic-ray detectors at Los Alamos National Laboratory, and he has a Ph.D. in astrophysics from Iowa State University.

Class participants should bring a laptop or tablet computer to the course. Participants will use this computer for analyzing data, performing sam-ple-size estimation, and participating in live interactive reader studies.

Photon Counting X-ray Imaging: Technology and Methods

SC1129 • Course Level: IntroductoryCEU: 0.4 • $285 Members • $335 Non-Members USD SPIE Student Members: $164Sunday 1:30 pm to 5:30 pmThis course explains the principles of photon counting detectors for spec-tral x-ray imaging. Typical technical implementations are described and fundamental differences to energy integrating systems are pointed out. In particular, the issues of high-rate handling and the effect of detector cross talk on energy resolution are described. Requirements on elec-tronics for spectral imaging in computed tomography is also discussed.

A second objective of the course is to describe how energy sensitive counting detectors make use of the energy sampling of the linear atten-uation coefficients of the background and target materials for any given imaging task; methods like material basis decomposition and optimal energy weighting will be explained.

The second objective highlights the interesting fact that while the spatial-frequency descriptor of signal-to-noise-ratio transfer (DQE) of a system gives a complete characterization of performance for energy integrating (and pure photon counting) systems, it fails to characterize multibin systems since a complete description of the transfer character-istics requires specification of how the information of each energy bin is handled. The latter is in turn dependent on the imaging case at hand which shows that there is no such thing as an imaging case independent system DQE for photon counting multibin systems. We also suggest how this issue could be resolved.

LEARNING OUTCOMESThis course will enable you to:• describe the fundamental operating principles of photon counting

detectors for spectral x-ray imaging• distinguish between the proposed detector materials in terms

of their main physical limitations/challenges to high-rate energy resolved photon counting

• list essential requirements on read-out electronics and predict effect on image quality if not fulfilled

• explain the physical origin of pile-up and separate between the effects of decreased energy resolution and loss of counts

• explain the physical origins of cross-talk and how it degrades performance, both in terms of resolution and noise

• compute optimal weights for the energy bins• illustrate how poor choice of weights results in inferior image quality• perform material basis decomposition and explain why noise in

decomposed images is a poor figure-of-merit• distinguish between system DQE and task dependent DQE and

suggest solutions to allow comparison at system level between multibin energy resolved systems and other solutions

INTENDED AUDIENCEScientists, engineers, or managers who wish to learn more about basic strengths and challenges of photon counting detectors for spectral x-ray imaging, how the data is treated and how performance can be quantified.

INSTRUCTORSMats Danielsson has been developing photon counting x-ray detectors for medical imaging for 15 years and his research has resulted in detector systems in worldwide clinical use. He received his Ph.D. in experimental physics in 1996 based on work at CERN, Geneva and later did his postdoc at Lawrence Berkeley National Laboratory. In 2006 he was appointed Professor at KTH Royal Institute of Technology in Stockholm, Sweden, where he heads the physics of medical imaging research group. Dr. Danielsson is a lifetime member of SPIE.

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ITK in Biomedical Research and Commercial ApplicationsSC1182 • Course Level: IntroductoryCEU: 0.7 • $500 Members • $590 Non-Members USD SPIE Student Members: $266Saturday 8:30 am to 5:30 pm

The Insight Segmentation and Registration Toolkit (www.itk.org) has become a standard in academia and industry for medical image analysis. In recent years, the ITK developers’ community has focused on providing programming interfaces to ITK from Python, Java, and Javascript and making ITK available via leading applications such as Slicer and ImageJ.

In this course we present best practices for taking advantage of ITK in your imaging research and commercial products. Via interactive examples that attendees can run on their laptops during the course, we show how ITK can speed research and commercial product develop-ment. We demonstrate how script writing and interactive GUIs can be used to access the algorithms in ITK and the multitude of ITK extensions that are freely available on the web. We also cover the opportunities and challenges with using open-source software in research and in commercial applications: from prototypes that can lead to venture capital funding to applications for first-in-human trials and ultimately for regulatory approval.

LEARNING OUTCOMESThis course will enable you to:• access and share ITK using portable, cross-platform virtual

machines that simplify teaching, exploratory research, and research preservation.

• create Python scripts for medical image segmentation and registration using ITK

• process medical images using ITK algorithms and extensions using 3D Slicer

• create new 3D Slicer modules using ITK with C++ or Python• establish a lasting, high-quality software development foundation

for research and commercial projects

INTENDED AUDIENCEGraduate students and faculty in biomedical engineering and/or involved with basic, pre-clinical, and clinical imaging including microscopy, pa-thology, CT, MRI, ultrasound, PET, and all other ND imaging modalities. Engineers, software developers, and laboratory technologists and man-agers in academic and commercial settings where imaging is used to develop or validate tools and techniques. First half is introductory, with a focus on GUIs and simple scripts. Second half is intended for people with some familiarity with Python script writing; however, those new to script writing will also benefit from the second half via exposure to what can be accomplished, even if some of the implementation details are too quickly covered for them to precisely follow.

INSTRUCTORMatthew McCormick (Ph.D., R&D Engineer, Kitware) is one of the lead developers of ITKv4. He has taught numerous courses on ITK, including courses at SciPy and ImageJ conferences. He also leads academic and commercial projects at Kitware, using ITK to solve challenging, practical problems.

Hans Johnson (Ph.D., Associate Professor, Electrical and Computer Engineering, University of Iowa) is one of the lead developers of ITKv4 and several other leading open-source projects (e.g., BrainsFIT). He has taught university courses involving ITK to graduate students from multiple programs. He is the current president of the Insight Software Consortium. He is also an outstanding Slicer developer.

Bradley Lowekamp (Staff Scientist, Office of High Performance Com-puting and Communications, US National Library of Medicine) is one of the lead developers of ITKv4 and several other leading open-source projects. He is one of the lead architects and developers of SimpleITK - an optimized interface between ITK and Python and other languages.

Modern Diagnostic X-ray SourcesSC1183 • Course Level: IntroductoryCEU: 0.4 • $415 Members • $465 Non-Members USD SPIE Student Members: $216Sunday 1:30 pm to 5:30 pm

During recent decades, in particular since the advent of computed tomography and the increasing use of interventional X-ray systems, progress in the development of sophisticated diagnostic X-ray sources has been tremendous. X-ray scientists and clinicians may want to improve their background knowledge about technology, application, features, potential hazards and diagnostic opportunities in practice.

Medical physicists are often struggling with unexpected side effects. This lecture will provide a sound basis for understanding the physics of production of “clinical” X-rays for diagnostics and briefly touch therapeu-tic use. It will treat functional principles of X-ray sources including high voltage supply. Design aspects, special features, radiation protection, and modern performance metric, manufacturing technology, and cost aspects will be discussed. Why is vacuum technology not at all outdated? Will we find the X-ray LED, compact X-ray Lasers or flat panel sources in medical imaging soon? Why do hundreds of tube types populate the market? The lecture will cover system performance aspects related to the source, material boundary conditions, and manufacturing technology.

The quest for affordable healthcare demands for trade-offs between value and cost, and objective comparison of tube types. Initial costs and costs of tube replacement will be discussed as well as means to extend tube life and to save natural resources. Last but not least, the lecture may spark fascination for this species of off-the-mainstream vacuum electronics light sources.

LEARNING OUTCOMESThis course will enable you to:• summarize the milestones of development of X-ray tubes• classify X-ray tubes by their basic technology and explain pro’s and

con’s• describe key components of X-ray tubes like bearings, cathodes,

vacuum frame, and housing• explain methods for heat management• recognzie side-effects like vacuum discharges and off-focal

radiation and identify remedies• summarize the peculiarities of bremsstrahlung from the various

types of X-ray tubes• explain the benefits of reflection targets for imaging• predict the X-ray tube performance in an X-ray system using

documented metrics• analyze X-ray tubes by their initial and service costs in an imaging

system• predict the impact of the X-ray tube design on the clinical work-flow• name the implemented measures for protection against hazards of

ionizing radiation• apply modern metric in the comparison and decision making process

INTENDED AUDIENCEMedical X-ray researchers, X-ray physicists, medical physicists, radiolo-gists, cardiologists and other surgeons with interest in X-ray diagnostics and interventional X-ray application, students of engineering, radiology and physics, X-ray system and tube developers, X-ray manufacturing staff, bodies, suppliers and personnel responsible for quality insurance, members of standardization committees, managers responsible for costs of service. Undergraduate training in engineering or science is assumed.

INSTRUCTORRolf Behling is a physicist, Fellow Scientist of the Philips group and a veteran in the field of medical imaging. During his 35-year tenure in this industry, he headed departments for vacuum technology development, was responsible for international project coordination and global inno-vation, head of marketing and field support for x-ray tubes, department head for x-ray tube development, project manager, and manufacturing process physicist. The first ever game changing X-ray tube with liquid bearing was developed under his project leadership. Rolf Behling cur-rently heads the Philips group for advanced development of X-ray tubes

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and X-ray generators at Philips Healthtech in Hamburg, Germany. He is a part-time lecturer at the University of Hamburg, and has contributed numerous patents and publications in the field of vacuum technology and medical imaging.

COURSE PRICE INCLUDES the text Modern Diagnostic X-Ray Sources, Technology, Manufacturing, Reliability (CRC Press, 2015) by Rolf Behling.

Principles and Advancements in X-ray Computed TomographySC471 • Course Level: IntroductoryCEU: 0.4 • $375 Members • $425 Non-Members USD SPIE Student Members: $200Sunday 8:30 am to 12:30 pm

This course will present a description of the fundamental physics and mathematical principles of CT. Key system performance parameters and design tradeoffs are reviewed. Causes and corrections of various image artifacts are extensively discussed. Potential impact of image artifacts and performance parameters on other computer-based algorithms, such as CAD and 3D volume rendering, is outlined. The second part of the tutorial will focus on the recent technology advancements in CT. Basic principles, benefits, and inherent issues associated with the helical (spiral) CT, multi-slice CT, and volumetric CT will be described. Different reconstruction approaches to combat artifacts associated with cone beam and helical interpolation are examined. The tutorial will conclude with a discussion on the recent advancements in CT applications, such as cardiac imaging, perfusion, dual energy, and fluoroscopy.

LEARNING OUTCOMESThis course will enable you to:• acquire the fundamental principles of CT • explain mathematical foundations of CT image reconstruction • identify and analyze major system performance parameters and

tradeoffs • describe the major causes and corrections of image artifacts, such

as aliasing, beam hardening, off-focal radiation, patient motion, metal artifacts, detector non-ideal response, projection truncation, 3D artifacts, and others

• discuss recent advancement in CT technology • assess recent advancement in clinical applications

INTENDED AUDIENCEEngineers, physicists, biomedical scientists, radiologists, and managers who need to understand the fundamentals and the state-of-the-art of CT. No special knowledge on CT is required, although basic knowledge of x-ray physics and Fourier transform is a plus.

INSTRUCTORJiang Hsieh is a Chief Scientist of GE Healthcare Technologies and an adjunct professor in the Medical Physics Department of the University of Wisconsin-Madison. He has nearly 30 years of experience in medical imaging. He holds over 220 US patents, has co-authored more than 200 articles, book chapters, and textbook. He taught AAPM summer school, refresher courses at RSNA, short courses at IEEE Medical Imaging Con-ference, AAPM annual meeting, and SPIE Medical Imaging Conference. His research interests include tomographic reconstruction, CT image artifact reduction and correction, signal processing, image processing, and advanced CT applications.

COURSE PRICE INCLUDES the text Computed Tomography: Principles, Design, Artifacts, and Recent Advances, 2nd edition (SPIE Press, 2009) by Jiang Hsieh.

MIC-GPU: High-Performance Computing for Medical Imaging on Programmable Graphics Hardware (GPU)SC829 • Course Level: IntermediateCEU: 0.4 • $285 Members • $335 Non-Members USD SPIE Student Members: $164Saturday 1:30 pm to 5:30 pm

Advanced graphics boards have become a standard ingredient in any mid-range and high-end PC, and aside from enabling stunning interactive graphics effects in computer games, their rich programmability allows speedups (over CPU-based code) of 1-2 orders of magnitude also in general-purpose computations. This course explains, in gentle ways, how to exploit this powerful computing platform to accelerate various popular medical imaging applications, such as CT, MRI, image processing, and data visualization. It begins by introducing the basic GPU architecture and its programming model, which establishes a solid understanding on how general computing tasks must be structured and implemented on the GPU to achieve the desired high speedups. Next, it examines a number of standard 2D and 3D medical imaging operators, such as filtering, sam-pling, statistical analysis, transforms, projectors, etc, and explains how these can be effectively accelerated on the GPU. Finally, it puts this all together by describing the full GPU-accelerated computing pipeline for a representative set of medical imaging applications, such as analytical and iterative CT, MRI, image enhancement chains, and volume visualization.

LEARNING OUTCOMESThis course will enable you to:• describe the basic architecture and programming model of the GPU• explain the fundamental concepts for effective general-purpose

computing on the GPU• design basic GPU programs for general-purpose computing and

identify resources to obtain further information• explain how standard operations in medical imaging are accelerated

on the GPU• distinguish GPU-acceleration strategies for various computing

pipelines in CT, MRI, visualization, and image processing• estimate the GPU-acceleration potential of unexplored medical

computing tasks• learn about GPU-code development with the CUDA and OpenCL

environments

INTENDED AUDIENCEAnyone who is actively involved in implementing computer code for medical imaging applications and desires greater processing speeds will benefit from this course: researchers, students, and engineers. But also managers will obtain a better understanding of the capabilities of the GPU platform for medical imaging. Some prior background with image processing and computer technology will be helpful.

INSTRUCTORKlaus Mueller received an MS in biomedical engineering and PhD in computer science from The Ohio State University. He is an associate professor in the Computer Science Department at Stony Brook Univer-sity,with co-appointments in the Biomedical Engineering and Radiolo-gy Departments. His current research interests are medical imaging, high-performance computing, visual analytics, and computer vision. He won the US National Science Foundation CAREER award in 2001 and the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activity in 2011. He served as a co-chair at various conferences, including IEEE Visualization, the Volume Graphics Symposium, and the Fully 3D Workshop on High-Performance Image Reconstruction. He has authored and co-authored over 140 peer-reviewed journal and conference papers, and participated in 15 tutorials at international conferences on visual-ization and medical imaging topics. He is a senior member of the IEEE and the IEEE Computer Society. http://www.cs.sunysb.edu/~mueller

Sungsoo Ha is a PhD student in computer science department at Stony Brook University working under the supervision of Prof. Klaus Mueller. Before joining the PhD program, he received his Bachelor’s degree in Electrical Engineering from the Stony Brook University. His main research

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interests are medical imaging, computer vision, high-performance computing (GPGPU) and visualization. He is particularly interested in low-dose CT reconstruction/restoration with Big Data, CT metal artifact reduction and developing GPU-accelerated statistical iterative CT re-construction algorithm. Currently, he is a research assistant in the Visual Analytics Imaging (VAI) Laboratory and more detail information can be found at: www.cs.sunysb.edu/~sunha.

Spectral CT ImagingSC987 • Course Level: IntermediateCEU: 0.4 • $285 Members • $335 Non-Members USD SPIE Student Members: $164Sunday 8:30 am to 12:30 pm

This course provides attendees with an advanced knowledge of spectral CT imaging. The course focuses on the properties of a spectral CT mea-surement and the main applications in spectral CT reconstruction and spectral CT image postprocessing. Many clinical examples of spectral CT imaging applications are provided to illustrate the diagnostic outcome of this technique.

LEARNING OUTCOMES• describe the system properties of a spectral CT system• compare different system approaches to acquire spectral CT data,

such as dual source CT, kV switching and energy-resolving detectors• summarize various algorithms for spectral CT reconstructions and

spectral CT image postprocessing• list the relevant clinical applications of spectral CT• explain the main challenges of spectral CT techniques

INTENDED AUDIENCEThis material is intended for anyone who is interested in the usage of the spectral information provided by modern CT systems. Those who wish to update their knowledge on the CT measurement and reconstruction process and who work with spectral CT applications will find this course valuable.

INSTRUCTORBernhard Schmidt is head of the Siemens Healthcare CT Scanner Applications and Algorithm Predevelopment Group. Over the last few years, he has been closely involved into the development of the Dual Energy product provided by Siemens.

Thomas Flohr is head of Siemens Healthcare CT physics and applica-tions development and has been instrumental in developing multi-de-tector row CT and dual-source CT. He is an assistant professor at the Eberhard-Karls University, Tübingen, Germany.

Katharine Grant earned her Bachelor of Science degree in Physics from Miami University (Oxford, OH) in 2000. The Minnesota native went on to earn her PhD in Biomedical Engineering from the Mayo Clinic College of Medicine in 2005 with an emphasis in medical imaging and neurophysi-ology. After graduating, she was awarded a postdoctoral fellowship from the Director of Central/National Intelligence and simultaneously worked as a biomedical engineering research associate at the Mayo Clinic. Dr. Grant joined Siemens Healthcare as a Staff Scientist in 2009 and served as a scientific research collaboration manager within the Computed To-mography business. In 2012 she was promoted to Senior Manager and Senior Key Expert for CT R&D, and then to Director of CT-RO Research Collaborations in the USA in 2014. Her main role is to serve as a liaison between luminary customers/collaborators and Siemens’ physicists and product development specialists, while supporting marketing and sales efforts within the USA.

Early Career Professional Development in Medical ImagingWS757 • Course Level: IntroductoryCEU: 0.4 • Members $50 • Non-Members $100 USD SPIE Student Members: $40Wednesday 8:30 am to 12:30 pm

This course provides attendees with strategies and ideas for navigating through the early years of Medical Imaging research in the academic environment. The course focuses on strategic career planning topics such as effective CV development, understanding the Promotion & Tenure process, resource negotiating tips, time management & organizational skills, and writing and winning research grants.

LEARNING OUTCOMESThis course will enable you to:• develop a 5-year career plan in Medical Imaging research• understand the role of personal styles in the negotiation process• enhance your grantsmanship skills• understand some of the unique challenges of doing research in academia • become familiar with the the main sources of funding in medical imaging

INTENDED AUDIENCEThis material is intended for graduate students, post-doctoral students, residents and faculty members within five years of their first academic appointment. Women and minorities are especially encouraged to attend.

INSTRUCTORElizabeth Krupinski is Professor & Vice-Chair of Research in the De-partment of Radiology & Imaging Sciences at Emory University. Prior to that she was at the University of Arizona for 23 years. Her main interests are in medical image perception, assessment of observer performance, and human factors issues. She has publishing extensively in these areas as they pertain to both Radiology and Telemedicine, and has presented at national and international conferences. She is Past President of the American Telemedicine Association, Past Chair of the Society for Imaging Informatics in Medicine, Past Chair of the SPIE Medical Imaging Confer-ence and President of the Medical Image Perception Society. She serves on the Editorial Boards of a number of journals in both radiology and telemedicine and is Co-Editor of the Journal of Telemedicine & Telecare. She serves regularly on review panels for the NIH, DoD, FDA and TATRC.

Writing for Publication in Medical ImagingWS776 • Course Level: IntroductoryCEU: 0.4 • Members $50 • Non-Members $100 USD SPIE Student Members: $40Saturday 1:30 pm to 5:30 pm

This course teaches attendees the skills needed to create well-written scientific articles for publication in journals or proceedings. We discuss the structure of a paper and the roles of its various parts. You will learn the principles of good technical writing and how to avoid common pitfalls. We will discuss how to use writer’s aids, many of which are available on line.

LEARNING OUTCOMESThis course will enable you to:• plan and craft well-written articles for publication• improve the quality of your scientific writing• edit and revise your writing for consistent style• avoid common errors in grammar and punctuation• overcome writer’s block

INTENDED AUDIENCEThis course is intended for researchers, especially students and those in their early career, who want to improve their skills in writing scientific articles. The course will begin at an introductory level, but will also benefit those with some experience in technical writing. Participants should be proficient in English.

INSTRUCTORKenneth Hanson has published over 160 papers and edited numerous proceedings. He was chair of the Image Processing Conference for six years and chair of the Medical Imaging Symposium for three.

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RegistrationONSITE REGISTRATION AND BADGE PICK-UP HOURS Location: Atrium

Saturday 11 February . . . . . . . . . . . . . . . . .7:30 am to 4:00 pmSunday 12 February . . . . . . . . . . . . . . . . . . 7:15 am to 4:00 pmMonday 12 February . . . . . . . . . . . . . . . . . .7:30 am to 4:00 pmTuesday 14 February . . . . . . . . . . . . . . . . .7:30 am to 4:00 pmWednesday 15 February . . . . . . . . . . . . . .7:30 am to 4:00 pmThursday 16 February . . . . . . . . . . . . . . . . 7:30 am to 1:30 pm

CONFERENCE REGISTRATION Includes admission to all conference sessions, plenary and keynote speakers, panels, workshops, demos, poster sessions, coffee breaks, daily lunches, and online Proceedings. Student fees include online Proceedings and daily lunches.

COURSE AND WORKSHOP REGISTRATIONCourses and workshops are priced separately. Course-only registration includes your selected course(s), course notes, coffee breaks. Course prices include applicable taxes. Onsite, please go to the main registration desk after you pick up your badge.

EARLY REGISTRATION PRICING AND DATES Conference registration prices increase by US$150 (Students, $75) and course prices increase $75 after Friday, 27 January 2017. The online form will automatically display the increased prices.

SPIE MEMBER, SPIE STUDENT MEMBER, AND STUDENT PRICING• SPIE Members receive conference and course registration discounts.

Discounts are applied at the time of registration.

• SPIE Student Members receive up to 60% off courses.

• Student registration rates are available only to undergraduate and grad-uate students who are enrolled full time and have not yet received their Ph.D. Post-docs may not register as students. A student ID number or proof of student status is required with your registration.

General Information

PRESS REGISTRATIONFor credentialed press and media representatives only. Please email contact information, title, and organization to [email protected].

SPIE CASHIERRegistration Area

Open during registration hours

REGISTRATION PAYMENTS If you are paying by cash or check as part of your onsite registration, wish to add a course, workshop, or special event requiring payment, or have questions regarding your registration, visit the SPIE Cashier.

RECEIPT AND CERTIFICATE OF ATTENDANCEPreregistered attendees who did not receive a receipt or attendees who need a Certificate of Attendance may obtain those from the SPIE Cashier.

BADGE CORRECTIONSBadge corrections can be made by the SPIE Cashier.

REFUND INFORMATIONThere is a US$50 service charge for processing refunds. Requests for refunds must be received by Thursday, 2 February 2017; all registration fees will be forfeited after this date. Membership dues, SPIE Digital Library subscriptions, or Special Events purchased are not refundable.

U.S. GOVERNMENT CREDIT CARDSU.S. Government credit card users: have your purchasing officer contact the credit card company and get prior authorization before attempting to register. Advise your purchasing agent that SPIE is considered a 5968 company for authorization purposes.

SAVE MONEY—Register before 27 January


General Information

Onsite Services INTERNET ACCESSLocation: Coral Foyer

Complimentary wired Internet access is available in the Coral Foyer; attend-ees can hook up their laptops or use provided workstations. Complimentary WiFi available in Registration and Lobby in the Atrium, Poster area in Oceans Ballroom, and the Pool area.; instructions will be posted onsite.

SPIE CONFERENCE AND EXHIBITION APPSearch and browse the program, special events, partic-ipants, exhibitors, courses, and more. Free Conference App available for iPhone and Android phones.

SPIE BOOKSTORE Location: Oceans Foyer

Stop by the SPIE Bookstore to browse the latest SPIE Press Books, proceed-ings, and educational materials. While there, get a t-shirt or educational toy to bring home to the family.

SPIE EDUCATION SERVICESLocation: SPIE Registration Desk, Atrium

Browse course offerings or learn more about SPIE courses available in portable formats including online and customized, In-Company courses.

FED EX OFFICE Location: Next to Registration

Monday–Friday . . . . . . . . . . . . 7 am–5 pm (Closed Sat & Sun)

Restaurant & City Information, Renaissance Concierge

DINING OPTIONS IN HOTEL7:00 am – 10 pm Location: Main Lobby

CHILD CARE SERVICESKid’s Nite Out.com(407) 828 0920 [email protected]

Super-Sitters.com (407) 382 [email protected]

NOTE: SPIE does not imply an endorsement nor recommendation of these services. They are provided on an “information only” basis for your further analysis and decision. Other services may be available.

URGENT MESSAGE LINEAn urgent message line is available during registration hours:

(407) 235-7226

LOST AND FOUNDLocation: Cashier / Atrium Open during registration

Found items will be kept at Cashier until 4:00 pm each day. At the end of the meeting, all found items will be turned over to Renaissance Orlando at Sea World Lost and Found (x2900) or (407) 351-5555.

Food and Beverage ServicesCOFFEE BREAKS Complimentary coffee will be served twice each day of the conference in the following locations:

Saturday 11 Feb. . . . . . . . . . . . . . . . . . . . . . . . . . 10 am and 3 pm Reception Foyer and Upper Deck

Sunday 12 Feb – Thursday 16 Feb.. . . . . . . 9:40 am and 3 pmOceans Ballroom Foyer

FOOD & REFRESHMENTS FOR PURCHASEHot and cold snacks, hot entrees, salads, and pastries are available for purchase. Cash and credit cards accepted.

Tradewinds: Breakfast . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6:30 am to 11:30 amLunch . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11:30 am to 2:30 pm Dinner . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5:30 pm to 10:00 pm

Starbucks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 am to 7 pm

Boardwalk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2:30 pm to 1:00 am (Food Service until 11:00 pm)

Mist Sushi and Spirits . . . . . . . . . . . . . . . . . . . . . . . 5 pm to 10 pm

Palms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12:00 pm to 5:00 pm

Toppers (Ice Cream) . . . . . . . . . . . . . . . . . . 4:00 pm to 11:00 pm

Room Service . . . . . . . . . . . . . . . . . . . . . . . . .6:00 am to 12:00 am

SPIE-HOSTED LUNCHES LOCATION: POOL TERRACE & LAWN Sunday through Thursday . . . . . . . . . . . . . . . .12:10 to 12:50 pm SPIE-hosted lunches will be included in registration packets for full-con-ference registrants including Students Sunday through Thursday. All attendees need to make their own lunch arrangements on Saturday.

Should inclement weather prevent outdoor lunches, lunch will be served in the Atrium.

http://www.marriott.com/hotels/hotel-information/restaurant/mcosr-renaissance-orlando-at-seaworld/

http://kidsniteout.com/Default.aspx

mailto:[email protected]

http://super-sitters.com/

mailto:[email protected]


HotelsSPIE Medical Imaging 2017 returns to the:

Renaissance Orlando Hotel at SeaWorld (A Marriott Hotel)6677 Sea Harbor Dr.

Orlando, FL 32821

Reservation Type Single/Double Occupancy Rate

SPIE Attendee Rate $166 + 12.5% tax

Government Rate $133*+ 12.5% tax

Student Rate $129+ 12.5% tax

These rates are applicable February 6 – 21. For dates outside this range please contact the hotel for best available rates.

See complete reservation instructions on the Medical Imaging website.

WHY STAY AT THE RENAISSANCE ORLANDO AT SEAWORLD?Booking within the official housing reservation system for Medical Imaging 2017 is what enables SPIE to secure better rates for our attendees, as well as to contract desirable space and dates for the conference.

Discover this stunning 4-star hotel, Renaissance Orlando at SeaWorld, located across from SeaWorld Orlando, near Aquatica, Discovery Cove, Walt Disney World and Universal Studios. Enjoy luxurious guest rooms, exceptional dining and the R Aqua Zone, a fabulous outdoor water park.

Author / Presenter Information

Speaker Check-In and Preview StationLocation: Coral A

Monday through Friday . . . . . . . . . . . . . . . 7:30 am to 5:00 pmAll presenters must come to Speaker Check-In to load and test their pre-sentations.

Poster Setup Instructions Location: Oceans Ballroom

SUNDAY/MONDAY POSTER SESSION Author Setup Time . . . . . . . . . . . . . . Sunday Noon to 1:30 pm Authors Remove Posters . . . . . . . . . . . . . . . . . . . .Monday 7 pm

TUESDAY/WEDNESDAY POSTER SESSION Author Setup Time . . . . . . . . . . . . . . . . . Tuesday 9:30 to 11 am Authors Remove Posters . . . . . . . . . . . . . . . . Wednesday 7 pm Paper numbers will be placed on the poster boards in numerical order; please find your paper number and put up your poster in the designated space.

A poster author or coauthor is required to stand by the poster during the scheduled interactive poster session to answer questions from attendees.

Presenters who have not placed their poster(s) on their assigned board by 30 minutes prior to the session on the day of their presentation will be considered a “no show” and their manuscript will not be published.

Presenters must remove their posters at the end of the poster session. Posters not removed will be considered unwanted and will be discarded. SPIE assumes no responsibility for posters left up after the end of each poster session.

General Information

USE THE SPIE OFFICIAL HOUSING VENDOR TO BOOK YOUR ROOMSPIE has arranged special discounted hotel rates for SPIE conference attendees. To receive special hotel rates for this meeting, you must use the SPIE Official Housing Vendor.

SPIE strongly recommends you DO NOT book housing from any company that contacts you via phone or email.

The reservation system that SPIE uses for this event is available only via the Hotel page on the event website.

SPIE Official Housing Vendors use an Official SPIE Contractor logo to verify they are authorized by SPIE

Our housing vendors DO NOT reach out to you with solicitations.

Our housing vendors may follow up with you about housing once you have begun booking via our website, but NOT as an initial solicitation.

SPIE cannot be liable for any claims made by unofficial entities or for any damages suffered by you if you use any vendor or service that is not an SPIE Official Housing Vendor.

CONTRACTOR

S P I E .O R G / V E R I F

Y

http://www.marriott.com/hotels/hotel-information/travel/mcosr-renaissance-orlando-at-seaworld/


Florida has the longest coastline in the contiguous United States and no city in Florida is more than 75 miles from either the Atlantic Ocean or the Gulf of Mexico. The City of Orlando is nicknamed “The City Beautiful” and its symbol is the fountain at Lake Eola. Orlando is also known as “The Theme Park Capital of the World”, and is a vacation mecca for people from around the world.

The Orlando area receives over 50 million tourists annually, and Orlando has the second largest number of hotel rooms in the country, after Las Vegas, Nevada. Orlando is also one of the busiest American cities for conferences and conventions.

Go to the event website for access to the following information.

ABOUT ORLANDO

Visiting Orlando – Restaurants, Shopping, and more!

Food and Dining in Orlando

Visiting Florida – Things to See and Do

AIRPORT INFORMATION

Orlando International Airport (MCO)

Orlando Executive Airport - ORL

Orlando Sanford International Airport (SFB)

TRANSPORTATION FROM THE AIRPORT

Taxi service from Orlando International Airport to Orlando is approximately $35 one way (rates subject to change)

SHUTTLES AND PUBLIC TRANSPORTATION

Airport Shuttles

SuperShuttle – discount code CEASA

DRIVING DIRECTIONS AND PARKING

Driving Directions from Orlando International Airport

General Information

Travel Car Rental

CONTACT HERTZ:• In the United States call 1-800-654-2240

• In Canada call 1-800-263-0600, or 1-416-620-9620 in Toronto

• In Canada call 1-800-263-0600, or 1-416-620-9620 in Toronto

• In Europe and Asia call a Hertz Reservation Center or travel agent

• Outside of these areas call 1-405-749-4434

Hertz Car Rental is the official car rental agency for this event. To reserve a car, identify yourself as a Medical Imaging Conference attendee using the Hertz Meeting Code CV# 029B0022. Note: When booking from In-ternational Hertz locations, the CV # must be entered with the letters CV before the number, i.e. CV029B0022.

Meeting rates include unlimited mileage and are subject to car availabil-ity. Advance reservations are recommended; blackout dates may apply. Government surcharges, taxes, tax reimbursement, airport related fees, vehicle licensing fees and optional items, such as refueling or additional driver fees are extra. Minimum rental age is 20 (age differential charge for 20-24 applies). Standard rental conditions and qualifications apply. Vehicles rented in Florida can be returned to most Hertz locations within Florida. In the continental U.S., weekend rentals are available for pick-up between noon Thursday and noon Sunday and must be returned no later than Monday at 11:59 PM. Thursday pick-up requires a minimum three-day keep, Friday pick-up requires a minimum two-day keep, and Saturday and Sunday pick-up requires a minimum one-day keep. Weekly rentals are from five to seven days. Extra day rate for Weekly rentals will be charged at 1/5 of the Weekly rate.

Local Sights and AttractionsCOMPLIMENTARY I-RIDE PASSESFor all attendees staying at the Renaissance, the hotel will provide passes upon request to the local trolley bus system that runs through the International Drive tourist area with a stop in front of the Renais-sance Orlando Hotel at SeaWorld and at various shopping and dining areas along I-Drive.

GOVERNMENT RATES*Limited Government rooms @ current per diem rate of $133 S/D (subject to change) at The Renaissance Orlando at SeaWorld available on a first come, first served basis. Official Government ID is required at check-in.

CANCELLATION POLICYTo cancel a reservation without penalty, the hotel must be notified at least 72 hours prior to arrival. Otherwise a penalty fee of one night’s room plus tax will be applied.

http://www.marriott.com/hotels/local-things-to-do/mcosr-renaissance-orlando-at-seaworld/

SPIE Event Policies

Acceptance of Policies and Registration ConditionsThe following Policies and Conditions

apply to all SPIE Events. As a condition

of registration, you will be required to

acknowledge and accept the SPIE Registration

Policies and Conditions contained herein.

Granting Attendee Registration and AdmissionSPIE, or their officially designated event management, in their sole dis-cretion, reserves the right to accept or decline an individual’s registra-tion for an event. Further, SPIE, or event management, reserves the right to prohibit entry or remove any individual whether registered or not, be they attendees, exhibitors, representatives, or vendors, who in their sole opinion are not, or whose conduct is not, in keeping with the character and purpose of the event. Without limiting the foregoing, SPIE and event management reserve the right to remove or refuse entry to any attendee, exhibitor, representative, or vendor who has registered or gained access under false pretenses, provided false information, or for any other reason whatsoever that they deem is cause under the circumstances.

SPIE Safe Meeting and Misconduct PolicySPIE is a professional, not-for-profit society committed to providing valu-able and safe conference and exhibition experiences. SPIE is dedicated to equal opportunity and treatment for all its members, meeting attendees, staff, and contractors. Attendees are expected to be respectful to other attendees, SPIE staff, and contractors. Harassment and other misconduct will not be tolerated; violators will be addressed promptly and seriously. Consequences up to and including expulsion from the event as appropri-ate will be implemented immediately.

The SPIE anti-harassment policy can be found at http://spie.org/policy.

Reporting of Unethical or Inappropriate BehaviorSPIE is an organization with strong values of responsibility and integrity. Our Harassment Policy, Ethics Statement, and Code of Professional Con-duct contain general guidelines for behavior and for conducting business with the highest standards of ethics.

Onsite at a SPIE meeting, contact any SPIE Staff member with concerns or questions for thorough follow-up. If you feel in immediate danger, please dial 911 for police intervention.

SPIE has established a confidential reporting system for staff and all meetings participants to raise concerns about possible unethical or in-appropriate behavior within our community. Complaints may be filed by phone at +1-888-818-6898 or at www.SPIE.ethicspoint.com and, if pre-ferred, may be made anonymously.

IdentificationTo verify registered participants and provide a measure of security, SPIE will ask attendees to present a government-issued Photo ID at registra-tion to collect registration materials.

Individuals are not allowed to pick up badges for attendees other than themselves. Further, attendees may not have some other person partici-pate in their place at any conference-related activity. Such other individu-als will be required to register on their own behalf to participate.

Capture and Use of a Person’s ImageBy registering for an SPIE event, I grant full permission to SPIE to capture, store, use, and/or reproduce my image or likeness by any audio and/or visual recording technique (including electronic/digital photographs or videos), and create derivative works of these images and recordings in any SPIE media now known or later developed, for any legitimate SPIE marketing or promotional purpose.

By registering for an SPIE event, I waive any right to inspect or approve the use of the images or recordings or of any written copy. I also waive any right to royalties or other compensation arising from or related to the use of the images, recordings, or materials. By registering, I release, defend, indemnify and hold harmless SPIE from and against any claims, damages or liability arising from or related to the use of the images, recordings or materials, including but not limited to claims of defamation, invasion of privacy, or rights of publicity or copyright infringement, or any misuse, distortion, blurring, alteration, optical illusion or use in composite form that may occur or be produced in taking, processing, reduction or pro-duction of the finished product, its publication or distribution.

Payment MethodRegistrants for paid elements of the event, who do not provide a method of payment, will not be able to complete their registration. Individuals with incomplete registrations will not be able to attend the conference until payment has been made. SPIE accepts VISA, MasterCard, American Express, Discover, Diner’s Club, checks and wire transfers. Onsite registra-tions can also pay with Cash.

Authors/CoauthorsBy submitting an abstract, you agree to the following conditions:

• An author or coauthor (including keynote, invited, and solicited speakers) will register at the author registration rate, attend the meeting, and make the presentation as scheduled.

• A manuscript (minimum 6 pages, maximum 20 pages) for any accepted oral, invited, keynote, or poster presentation will be submitted for pub-lication in the Proceedings of SPIE in the SPIE Digital Library. Some SPIE events have other requirements that the author is made aware of at the time of submission.

• Only papers presented at the conference and received according to publication guidelines and timelines will be published in the Proceed-ings of SPIE in the SPIE Digital Library (or via the requirements of that event).

Audio, Video, Digital Recording PolicyConferences, courses, and poster sessions: For copyright reasons, re-cordings of any kind are prohibited without prior written consent of the presenter or instructor. Attendees may not capture or use the materials presented in any meeting/course room or in course notes on display with-out written permission. Consent forms are available at Speaker Check-In. Individuals not complying with this policy will be asked to leave a given session and/or asked to surrender their recording media.

EXHIBITION HALL: For security and courtesy reasons, recordings of any kind are prohibited unless one has explicit permission from on-site com-pany representatives. Individuals not complying with this policy will be asked to surrender their recording media and to leave the exhibition hall.

Your registration signifies your agreement to be photographed or video-taped by SPIE in the course of normal business. Such photos and video may be used in SPIE marketing materials or other SPIE promotional items.

Laser Pointer Safety Information/PolicySPIE supplies tested and safety-approved laser pointers for all confer-ence meeting rooms. For safety reasons, SPIE requests that presenters use provided laser pointers.

Use of a personal laser pointer represents user’s acceptance of liability for use of a non-SPIE-supplied laser pointer. If you choose to use your own la-ser pointer, it must be tested to ensure <5 mW power output. Laser point-ers in Class II and IIIa (<5mW) are eye safe if power output is correct, but output must be verified because manufacturer labeling may not match actual output. Come to Speaker Check-In and test your laser pointer on our power meter. You are required to sign a waiver releasing SPIE of any liability for use of potentially non-safe, personal laser pointers. Misuse of any laser pointer can lead to eye damage.

Access to Technical and Networking Events All technical and networking events require a conference badge for ad-mission. Registered attendees may bring their children with them as long as everyone is badged. Registration badges for children under 18 are free and available at the SPIE registration desk onsite. Children under 14 years of age must be accompanied by an adult at all times, and guardians are asked to help maintain a professional, disturbance-free conference envi-ronment.

Exhibition Hall Policy Everyone who attends the exhibition must be registered and have a badge. Badges for children are free and available onsite at the registra-tion desk. Children under 14 years of age must be accompanied by an adult at all times. Guardians are asked to help maintain a professional, dis-turbance-free exhibition environment. For safety and insurance reasons, children under 18 are not allowed in the exhibition area during exhibition move-in and move-out.

Unauthorized Solicitation PolicyUnauthorized solicitation in the Exhibition Hall is prohibited. Any non-exhibiting manufacturer or supplier observed to be distributing information or soliciting business in the aisles, or in another company’s booth, will be asked to leave immediately.

Unsecured Items PolicyPersonal belongings should not be left unattended in meeting rooms or public areas. Unattended items are subject to removal by security. SPIE is not responsible for items left unattended.

Wireless Internet Service Policy At SPIE events where wireless is included with your registration, SPIE pro-vides wireless access for attendees during the conference and exhibition but cannot guarantee full coverage in all locations, all of the time. Please be respectful of your time and usage so that all attendees are able to access the internet.

Excessive usage (e.g., streaming video, gaming, multiple devices) reduces bandwidth and increases cost for all attendees. No routers may be at-tached to the network. Properly secure your computer before accessing the public wireless network. Failure to do so may allow unauthorized ac-cess to your laptop as well as potentially introduce viruses to your com-puter and/or presentation. SPIE is not responsible for computer viruses or other computer damage.

Mobile Phones and Related Devices PolicyMobile phones, tablets, laptops, pagers, and any similar electronic devic-es should be silenced during conference sessions. Please exit the confer-ence room before answering or beginning a phone conversation.

SmokingFor the health and consideration of all attendees, smoking, including e-cigarettes, is not permitted at any event elements, such as but not limited to: plenaries, conferences, workshops, courses, poster sessions, hosted meal functions, receptions, and in the exhibit hall. Most facilities also prohibit smoking and e-cigarettes in all or specific areas. Attendees should obey any signs preventing or authorizing smoking in specified lo-cations.

Hold HarmlessAttendee agrees to release and hold harmless SPIE from any and all claims, demands, and causes of action arising out of or relating to your participation in the event you are registering to participate in and use of any associated facilities or hotels.

Event CancellationIf for some unforeseen reason SPIE should have to cancel the event, regis-tration fees processed will be refunded to registrants. Registrants will be responsible for cancellation of travel arrangements or housing reserva-tions and the applicable fees.

SPIE International HeadquartersPO Box 10

Bellingham, WA 98227-0010 USA

Tel: +1 360 676 3290

Fax: +1 360 647 1445

[email protected] • www.SPIE.org

SPIE Europe Offices2 Alexandra Gate

Ffordd Pengam, Cardiff, CF24 2SA UK

Tel: +44 29 2089 4747

Fax: +44 29 2089 4750

[email protected] • www.SPIE.org

SPIE Event Policies


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