Computer-aided detection of polyps in CT colonography based on geometric features

Hiroyuki Yoshida; Yoshitaka Masutani; Peter MacEneaney; Abraham H. Dachman

doi:10.1117/12.428182

21 May 2001 Computer-aided detection of polyps in CT colonography based on geometric features

Hiroyuki Yoshida, Yoshitaka Masutani, Peter MacEneaney, Abraham H. Dachman

Proceedings Volume 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images; (2001) https://doi.org/10.1117/12.428182
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

CT colonography is a promising technique with a long-term goal to provide mass screening for colorectal carcinoma. Colorectal screening by CT colonography requires that the examination be cost-effective. The correct interpretation time is excessive for a screening test. Therefore, a computerized detection method capable of indicating regions of suspicion is attractive as a diagnostic aid for radiologists. We have developed a new CAD scheme for automated detection of polyps based on CT colonographic data sets. Our method characterizes polyps by geometric features of volumetric data including the volumetric shape index and curvedness. Polyps were detected by fuzzy clustering in a feature space generated by the feature values and spatial coordinates, followed by a rule-based test in the feature space. In an analysis of 41 patients, 9 of whom had at least one biopsy-proved polyp, our CAD scheme detected 100% of polyps with 2.5 false positives per patient. Our preliminary result indicates that the CAD scheme is potentially useful for highlighting areas of suspicion in the colon and, therefore, facilitates widespread screening by reducing the reading time substantially.

Citation Download Citation

Hiroyuki Yoshida, Yoshitaka Masutani, Peter MacEneaney, and Abraham H. Dachman "Computer-aided detection of polyps in CT colonography based on geometric features", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428182

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