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Proceedings Paper

3D colonic polyp segmentation using dynamic deformable surfaces
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Paper Abstract

An improved 3D method for colonic polyp segmentation was developed based on previous 2D method. The method is based on combination of 3D knowledge-guided intensity adjustment, fuzzy clustering, and dynamic deformable surfaces. After intensity adjustment and fuzzy clustering, a deformable surface is employed to locate the polyp boundaries. The surface is also dynamically maintained to preserve the resolution and topology. The deformable surface is operated on a sub-volume of the data set and driven by image forces, balloon forces and internal spline forces. Compared to previous 2D method, the improved method produces much smoother polyp boundaries, and 3D features can be derived from the segmentation, such as 3D aspect ratio, curvatures, and polyp wall thickness etc. The computer segmentations were validated with manual segmentations. Preliminary results showed that the average volume overlap percentage among 25 polyp detections was 80.6%.

Paper Details

Date Published: 30 April 2004
PDF: 10 pages
Proc. SPIE 5369, Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, (30 April 2004); doi: 10.1117/12.536691
Show Author Affiliations
Jianhua Yao, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 5369:
Medical Imaging 2004: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

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