Image-guided regularization level set evolution for MR image segmentation and bias field correction
文献类型：期刊论文
| 作者 | Wang, Lingfeng ; Pan, Chunhong
|
| 刊名 | MAGNETIC RESONANCE IMAGING
 |
| 出版日期 | 2014 |
| 卷号 | 32期号:1页码:71-83 |
| 关键词 | MR image segmentation Bias field correction Level set Image-guided regularization |
| 英文摘要 | Magnetic resonance (MR) image segmentation is a crucial step in surgical and treatment planning. In this paper, we propose a level-set-based segmentation method for MR images with intensity inhomogeneous problem. To tackle the initialization sensitivity problem, we propose a new image-guided regularization to restrict the level set function. The maximum a posteriori inference is adopted to unify segmentation and bias field correction within a single framework. Under this framework, both the contour prior and the bias field prior are fully used. As a result, the image intensity inhomogeneity can be well solved. Extensive experiments are provided to evaluate the proposed method, showing significant improvements in both segmentation and bias field correction accuracies as compared with other state-of-the-art approaches. (C) 2014 Elsevier Inc. All rights reserved. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Radiology, Nuclear Medicine & Medical Imaging |
| 研究领域[WOS] | Radiology, Nuclear Medicine & Medical Imaging |
| 关键词[WOS] | ACTIVE CONTOURS ; INTENSITY INHOMOGENEITY ; BRAIN ; MODEL ; REPRESENTATION ; FRAMEWORK |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000329333700008 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3715]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Lingfeng,Pan, Chunhong. Image-guided regularization level set evolution for MR image segmentation and bias field correction[J]. MAGNETIC RESONANCE IMAGING,2014,32(1):71-83. |
| APA | Wang, Lingfeng,&Pan, Chunhong.(2014).Image-guided regularization level set evolution for MR image segmentation and bias field correction.MAGNETIC RESONANCE IMAGING,32(1),71-83. |
| MLA | Wang, Lingfeng,et al."Image-guided regularization level set evolution for MR image segmentation and bias field correction".MAGNETIC RESONANCE IMAGING 32.1(2014):71-83. |
入库方式： OAI收割
来源：自动化研究所
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