Extraction of landmarks and features from virtual colon models

Authors:
Krishna Chaitanya Gurijala;Arie Kaufman;Wei Zeng;Xianfeng Gu
Affiliations:
Computer Science Department, Stony Brook University, Stony Brook, NY;Computer Science Department, Stony Brook University, Stony Brook, NY;Computer Science Department, Stony Brook University, Stony Brook, NY;Computer Science Department, Stony Brook University, 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

The colon is a very complicated structure with a large number of distortions and bends. Landmarks and features serve as tools to guide colon flattening and to assist in the study of the colon surface segment by segment. Identification of feature points and landmarks is also useful for the registration of colon surfaces. In this paper, we present methods for identifying the locations of the taeniae coli and the four major flexures which form the prominent anatomic landmarks on the colon surface. The colon surface is cut open along these landmarks, and the segments obtained can be used for study of the surface of the colon. We define new feature points on the flattened colon surfaces and use well-established graph-based algorithms for their detection. We demonstrate the results showing the extracted landmarks and the detected features.