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Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images
Zhu, CZ; Jiang, TZ
发表期刊NEUROIMAGE
2003-03-01
卷号18期号:3页码:685-696
文章类型Article
摘要A local image model is proposed to eliminate the adverse impact of both artificial and inherent intensity inhomogeneities in magnetic resonance imaging on intensity-based image segmentation methods. The estimation and correction procedures for intensity inhomogeneities are no longer indispensable because the highly convoluted spatial distribution of different tissues in the brain is taken into consideration. On the basis of the local image model, multicontext fuzzy clustering (MCFC) is proposed for classifying 2D and 3D MR data into tissues of white matter, gray matter, and cerebral spinal fluid automatically. In MCFC, multiple clustering contexts are generated for each pixel, and fuzzy clustering is independently performed in each context to calculate the degree of membership of a pixel to each tissue class. To maintain the statistical reliability and spatial continuity of membership distributions, a fusion strategy is adopted to integrate the clustering outcomes from different contexts. The fusion result is taken as the final membership value of the pixel. Experimental results on both real MR images and simulated volumetric MR data show that MCFC outperforms the classic fuzzy c-means (FCM) as well as other segmentation methods that deal with intensity inhomogeneities. (C) 2003 Elsevier Science (USA). All rights reserved.
关键词Fuzzy Clustering Cluster Analysis Information Fusion Image Segmentation Magnetic Resonance Imaging Intensity Inhomogeneities
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]INTENSITY NONUNIFORMITY ; MR-IMAGES ; BIAS FIELD ; SEGMENTATION ; CLASSIFICATION ; INHOMOGENEITIES ; ALGORITHM
收录类别SCI
语种英语
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000182056700013
引用统计
被引频次:55[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/173211/9931
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA
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Zhu, CZ,Jiang, TZ. Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images[J]. NEUROIMAGE,2003,18(3):685-696.
APA Zhu, CZ,&Jiang, TZ.(2003).Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images.NEUROIMAGE,18(3),685-696.
MLA Zhu, CZ,et al."Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images".NEUROIMAGE 18.3(2003):685-696.
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