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Proceedings Paper

Progressive region-based colon extraction for computer-aided detection and quantitative imaging in cathartic and non-cathartic CT colonography
Author(s): Janne J. Näppi; Yasuji Ryu; Hiroyuki Yoshida
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Paper Abstract

Automated colon extraction is an important first step for applications of computer-aided detection (CADe) and quantitative imaging in computed tomographic colonography (CTC). However, previously developed colon extraction algorithms have various limitations. We developed a new fully automated progressive region-based (PRB) method to extract the complete region of colon from CTC images while minimizing the presence of extra-colonic components. The method can be used to provide the target region for CADe as well as to provide quantitative imaging information about the colon. In the method, extra-colonic components are excluded from the abdominal region by use of anatomy-based extraction methods, visible lumen regions of the colon and small bowel are decomposed into material-based subregions, a colon pathway is tracked from the anus to cecum by use of algorithms of progressively increasing complexity using anatomy-based landmarks, segmental features, and region-based tracking algorithms, and the extracted lumen region is perfected into a complete lumen by use of a discrete level-set algorithm. The method was tested with 15 challenging cathartic and non-cathartic fecaltagging CTC cases. Preliminary results indicate that the PRB method can outperform our previously developed centerline-based tracking method in colon extraction.

Paper Details

Date Published: 20 March 2014
PDF: 8 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352X (20 March 2014); doi: 10.1117/12.2043890
Show Author Affiliations
Janne J. Näppi, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Yasuji Ryu, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Hiroyuki Yoshida, Massachusetts General Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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