Haustral fold segmentation of CT colonography using ridge line detection

Authors:
Hongbin Zhu;Lihong Li;Yi Fan;Zhengrong Liang
Affiliations:
Department of Radiology, State University of New York, Stony Brook, NY;Dept. of Engineering Science & Physics, City Univ. of New York at College of Staten Island, Staten Island, NY;Department of Radiology, State University of New York, Stony Brook, NY;Department of Radiology, State University of New York, Stony Brook, NY
Venue:
MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
Year:
2010

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Abstract

In computed tomographic colonography, colonic/haustral folds often serve as important anatomic landmarks for various tasks, such as virtual endoscopic navigation, tenia coli extraction, prone/supine registration, and polyp matching. In this paper, we present an automatic fold segmentation method based on the negative ridge line detection method. Because haustral folds meet the normal colon wall at negative ridge lines, automatic fold segmentation can be achieved by taking the negative ridge lines as fold boundaries. Preliminary results on patient data are very promising.