1. Image Processing, Perception and Display

2. 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)

3. Core Ideas Image Encoder for Mapping Retinal Electrical Stimulation Advanced Integrated Visual and Perceptual Display for Medical Applications Management of Massive Medical Image Databases

5. A new retinal prosthesis

6. 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

7. 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

8. 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.

9. 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)

10. 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

11. 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)