1. Knowledge Systems Lab JN 12/19/2015 Med-LIFE: A System for Medical Imagery Exploration Joshua New Erion Hasanbelliu

2. Knowledge Systems Lab JN 12/19/2015 Introduction What is Med-LIFE? What is image fusion? How do I teach the computer? How can I view the results?

3. Knowledge Systems Lab JN 12/19/2015 What is Med-LIFE? Med-LIFE is an application currently under development to use computer processing techniques to reduce medical personnel workload GUI designed with Qt Image Processing with C (and VTK library)

4. Knowledge Systems Lab JN 12/19/2015 What is Med-LIFE? Consists of three processes (LIFE): –Learning of image attributes by the computer using SFAM –Image Fusion of many image modalities into one color image –Exploration of learning and fusion results

5. Knowledge Systems Lab JN 12/19/2015 What is Image Fusion? Allows the combination of multiple image modalities into one colored image with no information loss Reduces workload by eliminating the number of images a radiologist must analyze Images used from “The Whole Brain Atlas” –http://www.med.harvard.edu/AANLIB/home.html

6. Knowledge Systems Lab JN 12/19/2015 What is image fusion? Technique similar to primate vision

7. Knowledge Systems Lab JN 12/19/2015 Image Fusion Example GADPDSPECTT2 Color Fuse Result

8. Image Fusion Example

9. Knowledge Systems Lab JN 12/19/2015 How do I teach the computer? SFAM – Simplified Fuzzy ARTMAP SFAM is a computer-based system capable of online, incremental learning Two “vectors” are sent to this system for learning: –Input feature vector tells what data is available from which to learn –Supervisory signal tells whether that vector is an example or counterexample

10. Knowledge Systems Lab JN 12/19/2015 How do I teach the computer? Left-click to define examples (green) Right-click to define counterexamples (red) Main WindowZoom Window

11. Knowledge Systems Lab JN 12/19/2015 How do I teach the computer? Supervisory signal from red/green marks Feature vector from slice pixel values for original, single, and double opponent images

12. Knowledge Systems Lab JN 12/19/2015 Learning Results Main Window ResultsZoom Window Results

13. Knowledge Systems Lab JN 12/19/2015 Learning Results T2 Main Window Results

14. Knowledge Systems Lab JN 12/19/2015 How can I view results? Display a plethora of information Skull generated for patient from PD modality for contextual slice navigation Explore tab provides several functions: –Original images –Fusion results imbedded within 3D, patient- generated skull –Learning results

15. Knowledge Systems Lab JN 12/19/2015 Demo Presentation Erion will now demo the Med-LIFE system

16. Knowledge Systems Lab JN 12/19/2015 Conclusion Med-LIFE offers reduced workload to physicians who scan multiple images –Image processing and fusion reduces the number of images to be analyzed –Learning system allows the computer to perform prescreening or background analysis –Exploration allows immersion within the data for surgery planning