Paper
13 March 2006 Automatic procedure to distinguish colonic polyps located on fold vs. not on fold
Marek Franaszek, Ronald M. Summers M.D., Perry J. Pickhardt M.D., J. Richard Choi M.D.
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marek Franaszek, Ronald M. Summers M.D., Perry J. Pickhardt M.D., and J. Richard Choi M.D. "Automatic procedure to distinguish colonic polyps located on fold vs. not on fold", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614319 (13 March 2006); https://doi.org/10.1117/12.653076
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Signal attenuation

Computer aided design

Computer aided diagnosis and therapy

Optical inspection

Colon

Image segmentation

CAD systems

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