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Final Presentation Slides

Final Presentation Slides - Virtual Colonography Group 8...

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Virtual Colonography Group 8: Baaba Andam, Siddhartha Ghosh, Albert Ho May 7, 2007
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Problem Statement Input A set of CT scans showing the colon Output Identification of polyps and their location Detected Polyp
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Associated Issues Some polyps resemble colonic folds and walls, leading to false positive detections (53% of detected polyps in NCI database are sessile) The convoluted structure of the colon makes viewing its folds, walls and polyps difficult The presence of residual colonic fluid and stool remnants in the colon obscures the viewing of polyps Normal colon Peduncular polyp Sessile polyp
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Modification of Algorithm Proposed: 1. Segment search space 2. Compute geometrical features (shape index and curvedness) for each voxel in the CT data 3. Segment polyp candidates on the basis of requisite volumetric data 4. Cluster close polyps 5. Compare results with ground truth
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Modification of Algorithm (cont.) Modified: 1. Segment search space 2. Approximate mask surface with polygons 3. Compute shape index and curvedness for polygons 4. Identify support region for each polygon 5. Generate candidate list filtered by shape index and support rank 6.
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