1. Interactive Rendering and Image Segmentation (IRIS) David Gregg Eric Larsen Arun Neelamkavil Sanjay Sthapit William Wynn

2. What is image segmentation? The process of outlining the shape of structures visible in an image. A volumetric data set can be thought of as a set of parallel 2D images One performs “3-D image segmentation” by segmenting in all of these parallel images. The resulting outlines can be stacked to approximate the 3D-shape of the structure.

3. What does IRIS provide? An easy to use image segmentation tool Interactive performance Portable and extendible Traditional slice-based segmentation Produces a 3D rendering of the segmentation Allows “sub-segmentation” on the 3D rendering

5. Challenges & Technical Problems Building a product from scratch Ensuring that IRIS is Portable and Extendible Deciding what software to use, learning about it and adapting our design to accommodate the software

6. 3D interaction - Painting in 3D - Client wasn’t sure what he wanted Accuracy of - 2-D rasterization - 3-D ray generation and intersection with a Voxel based representation of the segmented data

7. Overlaying transparent segmentation data Multiple window management Event Handling Managing state variables Consistency of window displays

8. Demo ………..

9. Our Successes We have met all of the contract’s primary requirements: Allowing segmentation in all 4 windows Same code compiles and runs on PCs, SGIs and Suns

10. Linked cursors which enable the user to see visually how the different windows are interrelated Labeling in a window is reflected in the other windows 3-D point selection - intuitive and accurate selection of points (based on the user’s view of the segmentation data)

11. To Do Immediate: line selection in the 3D window tying up loose ends - removing any hard coded parameters full system test cleaning up documentation

12. Future Projects: allowing for varied file formats - DICOM/GIPL painting geodesic curves and surfaces

13. Acknowledgements Stephen Aylward Joe Capowski Kenny Hoff Graham Gash