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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): 58-62

Research on Cerebral Aneurysm Image Recognition Method Using Bayesian Classification

Jian Wu, Guangming Zhang, Yanyan Cao, and Zhiming Cui

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With the rapid development of computer technology and the successful Application of medical imaging, computer aided diagnosis technology develops increasingly. On the basis of the research and analysis of cerebral aneurysm and DSA imaging mechanism, this paper proposed a cerebral aneurysm recognition method using Bayesian classification. After cerebral vessel image is pre-processed, geometrical shape characteristics extracted from suspected lesion area are used to construct feature vector, then the classification training is done to realize cerebral aneurysm recognition. The experimental result shows that it is an effective cerebral aneurysm recognition method, whose recognition rate is high, and can provide the useful aided diagnosis information of cerebral aneurysm to the doctors.

Index Terms

bayesian, pattern classification, cerebral aneurysm, aided diagnosis

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