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Proceedings Paper

Automatic procedure to distinguish colonic polyps located on fold vs. not on fold
Author(s): Marek Franaszek; Ronald M. Summers; Perry J. Pickhardt; J. Richard Choi
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Paper Abstract

Performance of Computed Tomographic Colonography (CTC) Computer Aided Detection (CTC CAD) depends sensitively on a set of features chosen to characterize a polyp candidate. Most of the features are derived from some shape related characteristics which are calculated at the points located within the boundaries of a polyp candidate. This approach ignores information from the part of the colonic wall stretching beyond the limits of a polyp candidate. We found that almost 90% of small and medium size polyps missed by our CAD program were located on haustral folds. This suggests that two different classifiers (for detections on a fold and not on a fold) could be used which are better tuned to the local characteristics. Therefore, we developed an automated method to verify independently if a given polyp candidate is located on a fold. This is done by checking the intensity profile along normals originating from the points on the colonic wall which are close to but outside of a patch marking a polyp candidate.

Paper Details

Date Published: 13 March 2006
PDF: 10 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614319 (13 March 2006); doi: 10.1117/12.653076
Show Author Affiliations
Marek Franaszek, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)
Perry J. Pickhardt, National Naval Medical Ctr. (United States)
J. Richard Choi, Walter Reed Army Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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