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	Comparisons of fiber clustering algorithms for DTI images
	Zhang, Jia ; Dai, Fei ; Yu, Jun ; Yuan, Zhenming ; Yu J(俞俊)
	2012
关键词	Fibers Health care Tensors
英文摘要	Conference Name:2012 International Conference on Computerized Healthcare, ICCH 2012. Conference Address: Hong Kong, China. Time:December 17, 2012 - December 18, 2012.; Tractography is a promising technique to image brain white matter fiber tracts in diffusion tensor magnetic resonance imaging (DTI). However, the origin huge amounts of cluttered fibers are hard to be identified as different fiber structures with anatomical significance. A lot of fibers clustering methods have been proposed to automatically classify fibers, and in this paper, we focus on how to get an effective similarity measurement and efficient clustering algorithm for the fiber clustering. We introduce a framework for fiber clustering and results validation, and then evaluate the optimal combination method. Various combinations of the similarity measure and the clustering algorithm are implemented in the framework integrated with our visualization platform. Comparative experiments show that the best clustering performance and its corresponding similarity measurement and clustering algorithm. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICCH.2012.6724488
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86840]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Zhang, Jia,Dai, Fei,Yu, Jun,et al. Comparisons of fiber clustering algorithms for DTI images. 2012-01-01.

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