A Complete System for Polyps Flagging in Virtual Colonoscopy

Abstract

Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp flagging based on a simple segmentation technique that enhances polyps, a multi-scale candidate polyp delineation and new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area. The proposed algorithm is tested with ground truth data, including flat and small polyps which are hard to detect even with optical colonoscopy, obtaining very promising results. For polyps greater than 6mm in size we achieve 100% sensitivity with just 0:8 false positives per study, and for polyps greater than 3mm in size we achieve 100% sensitivity with 2:2 false positives per study. Abstract-Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp flagging based on a simple segmentation technique that enhances polyps, a multi-scale candidate polyp delineation, and new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area. The proposed algorithm is tested with ground truth data, including flat and small polyps which are hard to detect even with optical colonoscopy, obtaining very promising results. For polyps greater than 6mm in size we achieve 100% sensitivity with just 0.8 false positives per study, and for polyps greater than 3mm in size we achieve 100% sensitivity with 2.2 false positives per study.

Automated image‐based colon cleansing for laxative‐free CT colonography computer‐aided polyp detection

“…In the case of colonography, CAD systems have shown high sensitivity and specificity for the detection of colonic polyps. 3, [12][13][14][15][16][17][18][19][20][21][22]35 It has been shown that the use of second-read CAD significantly improves polyp detection. 22 While CAD systems for colonography get increasing popularity and endorsement from the radiological community, they have not been designed to cope with the presence of stool, although labeling the stool with high contrast agents replaces the use of laxatives and reduces patient discomfort.…”