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Proceedings Paper

A new color coding scheme for easy polyp visualization in CT-based virtual colonoscopy
Author(s): Dongqing Chen; M. Sabry Hassouna; Aly A. Farag; Robert Falk
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Paper Abstract

In this paper, we first introduce three different geometric features including shape index, curvedness and sphericity ratio, for colonic polyp detection. A new color coding scheme is designed to highlight the detected polyps, and help radiologists to distinguish them from other tissues more easily. The key idea is to place the detected polyp candidates at the same locations in a newly created polygonal dataset with exactly the same topological and geometrical properties as the triangulated mesh surface of real colon dataset, and assign different colors to the two separated datasets to highlight the polyps. Finally, we validate the proposed polyp detection framework and color coding scheme by computer simulated and real colon datasets. For sixteen synthetic polyps with different shapes and different sizes, the sensitivity is 100%, and false positive is 0.

Paper Details

Date Published: 31 March 2007
PDF: 12 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65142I (31 March 2007); doi: 10.1117/12.708958
Show Author Affiliations
Dongqing Chen, Univ. of Louisville (United States)
M. Sabry Hassouna, Vital Images, Inc. (United States)
Aly A. Farag, Univ. of Louisville (United States)
Robert Falk, Jewish Hospital (United States)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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