Abstract
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.
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References
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Lamy, J., Summers, R.M. (2007). Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76858-6_20
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DOI: https://doi.org/10.1007/978-3-540-76858-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76857-9
Online ISBN: 978-3-540-76858-6
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