Gain field correction fast fuzzy c-means algorithm for segmenting magnetic resonance images
文献类型：期刊论文
| 作者 | Song, Jingjing; Zhao, Qingjie; Wang, Yuanquan; Tian, Jie ; Yang, Q; Webb, G
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| 刊名 | PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
 |
| 出版日期 | 2006 |
| 卷号 | 4099期号:2006页码:1242-1247 |
| 关键词 | Gain Field Correction Segmenting Magnetic Resonance Images c-Means |
| 通讯作者 | Tian, Jie |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | MRI DATA ; SEGMENTATION |
| 收录类别 | SCI ; ISTP |
| 语种 | 英语 |
| WOS记录号 | WOS:000240091500169 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9293]  |
| 专题 | 自动化研究所_09年以前成果 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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