Image Processing, Perception and Display

Group Members• Eyal Margalit (UNMC)

• Tim Baxter (UNMC)

• Balasubraniam Sajja (UNMC)

• Khalid Sayood (UNL)

• Carl Nelson (UNL/UNMC)

• Cho Wing Solomon To (UNL)

• Ashok Samal (UNL)

Core Ideas

• Image Encoder for Mapping Retinal Electrical Stimulation

• Advanced Integrated Visual and Perceptual Display for Medical Applications

• Management of Massive Medical Image Databases

A new retinal prosthesis

indium bumps connect the chip to the electrodes

Microcable replaced with a wireless chip

retina

silicon multiplexer chip provides patterned electric

current pulses epoxy

encapsulation

Curved microwire glass electrode array

Image Encoder for Mapping Retinal Electrical Stimulation• Restore vision patients blind from retinitis pigmentosa and

age related macular degeneration

• Provide electrical stimulations to activate the viable cells in the diseased retina

• Challenges

– Find the parts of the brain that interpret the information

– Find a mapping from optical pattern (image) to electrical pattern by encoding what the brain sees

– Adjustable by patients

– MEG Imaging could be useful

– Information compression

Image Encoder for Mapping Retinal Electrical Stimulation• People

– Eyal Margalit (UNMC)

– Sanjay Singh (UNMC)

– Wallace Thorson (UNMC)

– Bala Sajja (UNMC)

– Ashok Samal (UNL)

– Khalid Sayood (UNL)

• External Resources

– Naval Research Lab

– College of Computing

• Centers– MEG Center

Advanced Integrated Visual and Perceptual Display for Medical Applications• Provide innovative and functional interface for

medical applications• Include new modalities

– Laparoscopic images, MRI data, stress/strain fields, pH, auditory, etc.

• Multi sensor fusion• Provide analysis

– Preops, real-time interpretations– Pattern analysis and anomalies

• Overlay analysis with the images, augmented reality, etc.

Advanced Integrated Visual and Perceptual Display for Medical Applications• People

– Carl Nelson (UNL/UNMC)– Nick Stergiou (UNO)– Joseph Siu (UNMC)– Shane Farritor (UNL)– Linxia Gu (UNL)– Hani Haider (UNMC)– Ashok Samal (UNL)

• External Partners– Expertise and facilities in VR– Center for Medicare and Medicaid Services

• Center for Advanced Surgical Technologies (CAST)

Management of Massive Medical Image Databases• Electronic Medical Records Act• Interoperability• Efficient use of transmission and storage resources

for medical data• Provide tools for measurement (CAD models)

from images– Interrelated images– Operationalize (measurements)– Image database management

Management of Massive Medical Image Databases• People

– Khalid Sayood (UNL)

– Mike Hoffman (UNL)

– Sina Balkir (UNL)

– Rod Markin (UNMC)

– Joe Sisson (UNMC)

– Bala Sajja (UNMC)

– Ashok Samal (UNL)

• External Partners

– Jerry Gibson (UCSB)