CASIA OpenIR  > 09年以前成果
Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images
Zhu, CZ; Jiang, TZ
Source PublicationNEUROIMAGE
AbstractA 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.
KeywordFuzzy Clustering Cluster Analysis Information Fusion Image Segmentation Magnetic Resonance Imaging Intensity Inhomogeneities
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000182056700013
Citation statistics
Cited Times:58[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA
Recommended Citation
GB/T 7714
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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