Project Proposal Slides

Project Proposal Slides - Virtual Colonography Group 8...

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Virtual Colonography Group 8: Baaba Andam, Siddhartha Ghosh, Albert Ho April 9, 2007
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Problem Statement Our project is the analysis of CT scans of the colon to accurately detect polyps Input Image Output Image Detected Polyp
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Problem Statement Output Image Detected Polyp Detected Polyp
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Clinical Significance Colon cancer: Second leading cause of cancer deaths in the United States. (60,000 deaths/year) Early detection and removal of colonic polyps reduce the risk of colon cancer. Colonoscopy is the endoscopic examination of the colon. Colonography involves obtaining computed tomography (CT) scans of the colon and analyzing the images for polyps through: visual inspection or automated computer algorithms (virtual colonography) Source: National Cancer Institute
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Issues in Virtual Colonography Some polyps resemble folds on the colon wall. This may lead to false positive detections.(20.8% of detected polyps in NCI database are sessile) Convoluted structure of the colon makes the viewing of its wall, and therefore the polyps present on it, difficult. Presence of food particles and residual colonic fluid in the colon obscures the viewing of polyps. Normal colon Peduncular polyp Sessile polyp
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Relevant previous works Authors Problem addressed Solution H. Yoshida and J. Nappi Distinction of polyps from colonic folds and wall Computation of curvedness and shape index values G. Wang, E. G.
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