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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | van Ravesteijn, V.F. Zhao, L. Botha, C.P. Post, F.H. Vos, F.M. van Vliet, L.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: Quantitative Imaging Group, Faculty of Applied Sciences, Delft University of Technology, The Netherlands (van Ravesteijn, V.F.; Vos, F.M.; van Vliet, L.J.) || Computer Graphics & CAD/CAM Group, Faculty of EEMCS, Delft University of Technology, The Netherlands (Zhao, L.; Botha, C.P.; Post, F.H.) |
| Abstract | CT colonography is a screening technique for adenomatous colorectal polyps, which are important precursors to colon cancer. Computer aided detection (CAD) systems are developed to assist radiologists. We present a CAD system that substantially reduces false positives while keeping the sensitivity high. Hereto, we combine protrusion measures derived from the solution of a non-linear partial differential equation (PDE) applied to both an explicit mesh and an implicit volumetric representation of the colon wall. The shape of the protruding elements is efficiently described via a technique from data visualization based on curvature streamlines. A low-complex pattern recognition system based on an intuitive feature from the aforementioned representations improves performance to less than 1.6 false positives per scan at 92% sensitivity per polyp. |
| Starting Page | 907 |
| Ending Page | 910 |
| File Size | 699231 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5193200 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Colonic polyps Virtual colonoscopy Colon Colonography Cancer Volume measurement Partial differential equations Shape Data visualization Pattern recognition |
| Content Type | Text |
| Resource Type | Article |
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