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
Source PublicationPRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
2006
Volume4099Issue:2006Pages:1242-1247
SubtypeArticle
AbstractIn 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.
KeywordGain Field Correction Segmenting Magnetic Resonance Images C-means
WOS HeadingsScience & Technology ; Technology
WOS KeywordMRI DATA ; SEGMENTATION
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000240091500169
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9293
Collection09年以前成果
Corresponding AuthorTian, Jie
Affiliation1.Beijing Inst Technol, Dept Comp Sci & Engn, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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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