Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images

CASIA OpenIR > 09年以前成果

	Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images
	Song, Jingjing ; Zhao, Qingjie ; Wang, Yuanquan ; Tian, Jie ; Yang, Q; Webb, G
发表期刊	PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
	2006
卷号	4099 期号:2006 页码:1242-1247
文章类型	Article
摘要	In this paper, we present a new and fast algorithm of fuzzy segmentation for MR image, which is corrupted by the intensity inhomogeneity. The algorithm is formulated by modifying the FFCM algorithm to incorporate a gain field, which compensate for such inhomogeneities. In each iteration, we allow the gain field transforming to a gain field image and filter it using an iterative low-pass filter, and then revert the gain field image to gain field term again for the next iteration. We also use c-means algorithm initializing the centroids to further accelerate our algorithm. Our method reduces lots of executive time and will obtain a high-quality result. The efficiency of the algorithm is demonstrated on different magnetic resonance images.
关键词	Gain Field Correction Segmenting Magnetic Resonance Images C-means
WOS标题词	Science & Technology ; Technology
关键词[WOS]	MRI DATA ; SEGMENTATION
收录类别	SCI ; ISTP
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000240091500169
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9293
专题	09年以前成果
通讯作者	Tian, Jie
作者单位	1.Beijing Inst Technol, Dept Comp Sci & Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Song, Jingjing,Zhao, Qingjie,Wang, Yuanquan,et al. Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images[J]. PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2006,4099(2006):1242-1247.
APA	Song, Jingjing,Zhao, Qingjie,Wang, Yuanquan,Tian, Jie,Yang, Q,&Webb, G.(2006).Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images.PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,4099(2006),1242-1247.
MLA	Song, Jingjing,et al."Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images".PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS 4099.2006(2006):1242-1247.

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