Multicontext fuzzy clustering for separation of brain tissues in magnetic resonance images
文献类型：期刊论文
| 作者 | Zhu, CZ; Jiang, TZ
|
| 刊名 | NEUROIMAGE
 |
| 出版日期 | 2003-03-01 |
| 卷号 | 18期号:3页码:685-696 |
| 关键词 | fuzzy clustering cluster analysis information fusion image segmentation magnetic resonance imaging intensity inhomogeneities |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
| 研究领域[WOS] | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
| 关键词[WOS] | INTENSITY NONUNIFORMITY ; MR-IMAGES ; BIAS FIELD ; SEGMENTATION ; CLASSIFICATION ; INHOMOGENEITIES ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000182056700013 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9931]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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