Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method
文献类型：期刊论文
| 作者 | Liu, Lixiong1; Zhang, Qi1; Wu, Min2; Li, Wu3,4 ; Shang, Fei
|
| 刊名 | MAGNETIC RESONANCE IMAGING
 |
| 出版日期 | 2013-05-01 |
| 卷号 | 31期号:4页码:567-574 |
| 关键词 | Image segmentation Magnetic resonance Intensity inhomogeneity Level set |
| 英文摘要 | It is a big challenge to segment magnetic resonance (MR) images with intensity inhomogeneity. The widely used segmentation algorithms are region based, which mostly rely on the intensity homogeneity, and could bring inaccurate results. In this paper, we propose a novel region-based active contour model in a variational level set formulation. Based on the fact that intensities in a relatively small local region are separable, a local intensity clustering criterion function is defined. Then, the local function is integrated around the neighborhood center to formulate a global intensity criterion function, which defines the energy term to drive the evolution of the active contour locally. Simultaneously, an intensity fitting term that drives the motion of the active contour globally is added to the energy. In order to segment the image fast and accurately, we utilize a coefficient to make the segmentation adaptive. Finally, the energy is incorporated into a level set formulation with a level set regularization term, and the energy minimization is conducted by a level set evolution process. Experiments on synthetic and real MR images show the effectiveness of our method. (C) 2013 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] | GRADIENT VECTOR FLOW ; ACTIVE CONTOUR MODELS ; EXTERNAL FORCE ; EVOLUTION ; BALLOONS ; MUMFORD ; FIELD |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000317887800012 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4084]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing Lab Intelligent Informat Technol, Beijing 100081, Peoples R China 2.Nanjing Mil Command, Nanjing Gen Hosp, Dept Med Engn, Nanjing 210002, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Beijing Inst Technol, Sch Life Sci, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Lixiong,Zhang, Qi,Wu, Min,et al. Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method[J]. MAGNETIC RESONANCE IMAGING,2013,31(4):567-574. |
| APA | Liu, Lixiong,Zhang, Qi,Wu, Min,Li, Wu,&Shang, Fei.(2013).Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method.MAGNETIC RESONANCE IMAGING,31(4),567-574. |
| MLA | Liu, Lixiong,et al."Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method".MAGNETIC RESONANCE IMAGING 31.4(2013):567-574. |
入库方式： OAI收割
来源：自动化研究所
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