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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 159-162

Skeleton Extraction of Cerebrovascular Image Based on Topological Nodes

Jian Wu, Guangming Zhang, Jie Xia, and Zhiming Cui

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Skeleton extraction is a very challenging subject, and has an important application value. Because of the ambiguity and complexity of cerebrovascular image, the skeleton gained by conventional skeleton algorithms is discontinuous. This paper proposes a cerebrovascular image skeleton extraction algorithm based on topological nodes. This algorithm first determines the important topological nodes from the starting point of the skeleton, then calls the extraction algorithm for a single skeleton from every topological node until the arrival of the source point. This algorithm avoids the locating and classifying of the skeleton connection points which guide the skeleton extraction. Because all its parameters are gotten by the analysis and reasoning, no artificial interference is needed.

Index Terms

skeleton extraction, cerebrovascular image, topological nodes, Level Set model

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