A variational framework for 3D colonic polyp visualization in virtual colonoscopy

Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual col...

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Bibliographic Details
Main Authors: Dongqing Chen, Farag, A.A., Falk, R.L., Dryden, G.W.
Format: Conference Proceeding
Language:English
Subjects:
3D Object Reconstruction
3D Segmentation
Cancer
Colon
Colonic polyps
Colonography
Computed tomography
CT Colonography
Image Pre-processing
Image reconstruction
Image segmentation
Optical computing
Virtual colonoscopy
Visualization
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Summary:Colorectal cancer includes cancer of the colon, rectum, anus and appendix. Since it is largely preventable, it is extremely important to detect and treat the colorectal cancer in the earliest stage. Virtual colonoscopy is an emerging screening technique for colon cancer. One component of virtual colonoscopy, image pre-processing, is important for colonic polyp detection/ diagnosis, feature extraction and classification. This paper introduces a general variational approach based framework for a computer aided diagnosis system for colorectal cancer. It includes techniques for 3D colon segmentation, 3D colon object reconstruction by iso-surface generation, and 3D centerline extraction. The proposed framework has been validated on 22 real CT colonography datasets.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2009.5413951