Parametrization and smooth approximation of surface triangulations
Computer Aided Geometric Design
Loop removal from colon central path through skeleton scale-space tracking
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Teniae coli extraction in human colon for computed tomographic colonography images
MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
Extraction of landmarks and features from virtual colon models
MICCAI'10 Proceedings of the Second international conference on Virtual Colonoscopy and Abdominal Imaging: computational challenges and clinical opportunities
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The teniæ coli, three longitudinal bands of muscle on the colon surface, are important anatomical structures for several virtual colonoscopy applications: colon registration, virtual dissection, navigation and polyp matching. The current detection method involves manually tracing one of the teniæ on the colon surface, a long and error-prone process. In this paper, we present a semi-automated detection method, which only requires the user to reconnect a few long segments of teniæ. This method is based on local parameterizations of the colon surface, and on the application of classical image processing algorithms on the graph created by the triangular mesh of the surface. The results, computed on four test cases, are promising.