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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongqing Chen Fahmi, R. Farag, A.A. Falk, R.L. Dryden, G.W. |
| Copyright Year | 2009 |
| Description | Author affiliation: Computer Vision & Image Processing (CVIP) Laboratory, Department of Electrical and Computer Engineering, University of Louisville, KY, 40292, USA (Dongqing Chen; Fahmi, R.; Farag, A.A.) || Department of Medical Imaging, Jewish Hospital & St Mary's Healthcare, Louisville, KY, 40202, USA (Falk, R.L.) || Division of Gastroenterology/Hepatology, Department of Medicine, University of Louisville, KY, 40202, USA (Dryden, G.W.) |
| Abstract | This paper introduces an adaptive level set method for 3D segmentation of colon tissue in CT colonography filled with air and opacified fluid. First, most of the opacified liquid is removed by a threshold value. The closed contours are propagated toward the desired 3D region boundaries through the iterative evolution of the adaptive level sets function. The proposed method has been tested on 22 real CT colonography datasets with various pathologies, and the segmentation accuracy has achieved 98.40%. |
| Starting Page | 490 |
| Ending Page | 493 |
| File Size | 716869 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5193091 |
| 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 | Colonography Colon Virtual colonoscopy Cancer Image segmentation Colonic polyps Level set Deformable models Computed tomography Visualization adaptive level sets Colorectal cancer CT colonography 3D colon segmentation |
| Content Type | Text |
| Resource Type | Article |
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