project plan modeling rat bloodstream using fluorescence imaging data

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Project plan Modeling rat bloodstream using fluorescence imaging data

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Page 1: Project plan Modeling rat bloodstream using fluorescence imaging data

Project plan

Modeling rat bloodstream using fluorescence imaging data

Page 2: Project plan Modeling rat bloodstream using fluorescence imaging data

Alander et al. (2012)

Page 3: Project plan Modeling rat bloodstream using fluorescence imaging data

The Research Project

• Rats with artificial coronary thrombosis• Chest blood vessel to heart muscle• Replace bypass for people with bad coronary

vessels?

Page 4: Project plan Modeling rat bloodstream using fluorescence imaging data

Team

Students: Juho & KirillInstructor: prof. Jarmo Alander

Page 5: Project plan Modeling rat bloodstream using fluorescence imaging data

Structure of the work

Weeks 3–5: Familiarization to the theory and methods and project planning. Weeks 6–7: Investigation on the data and selecting the methods. Weeks 8–14: Iterative modeling and testing. (week 9: midterm report)Weeks 15–19: Finishing up the modeling, preparing for the demo and documentation. Week 20: Demo. Week 21: Finishing up the documentation.

Page 6: Project plan Modeling rat bloodstream using fluorescence imaging data

Risks

• Workload• Data• Communication

Page 7: Project plan Modeling rat bloodstream using fluorescence imaging data

References• Jarmo T. Alander, Ilkka Kaartinen, Aki Laakso, Tommi Pätilä, Thomas Spillmann, Valery V. Tuchin, Maarit

Venermo, and Petri Välisuo. 2012. A review of indocyanine green fluorescent imaging in surgery. Journal of Biomedical Imaging 2012, Article 7 (January 2012), 1 pages. DOI=10.1155/2012/940585 http://dx.doi.org/10.1155/2012/940585 URL: http://dl.acm.org/citation.cfm?id=2336497&bnc=1

• Cyrus B. Amoozegar, Tracy Wang, Matthew B. Bouchard, Addason F. H. McCaslin, William S. Blaner, Richard M. Levenson and Elizabeth M. C. Hillman, "Dynamic contrast-enhanced optical imaging of in vivo organ function", Journal of Biomedical Optics, 17(9)96003, 2012. URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434471/pdf/JBO-017-096003.pdf

• Elizabeth M. C. Hillman, Cyrus B. Amoozegar, Tracy Wang, Addason F. H. McCaslin, Matthew B. Bouchard, James Mansfield and Richard M. Levenson, "In vivo optical imaging and dynamic contrast methods for biomedical research", Philosophical Transactions of the Royal Society A, Mathematical, Physical & Engineering Sciences, 369(1955)4620-4643, 2011. DOI 10.1098/rsta.2011.0264 URL: http://rsta.royalsocietypublishing.org/content/369/1955/4620

• Taeyun Ku and Chulhee Choi, "Noninvasive optical measurement of cerebral blood flow in mice using molecular dynamics analysis of indocyanine green", PLoS One, 7(10)e48383, 2012. URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485229/

• Relevant Wikipedia articles– http://en.wikipedia.org/wiki/System_identification– http://en.wikipedia.org/wiki/Indocyanine_green– http://en.wikipedia.org/wiki/Fluorescence_image-guided_surgery