Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Robust Tract Skeleton Extraction of Cingulum Based on Active Contour Model from Diffusion Tensor MR Imaging | |
Li, Wu1,2,3; Hu, Xiaoping2,3 | |
发表期刊 | PLOS ONE |
2013-02-26 | |
卷号 | 8期号:2页码:- |
文章类型 | Article |
摘要 | Cingulum is widely studied in healthy and psychiatric subjects. For cingulum analysis from diffusion tensor MR imaging, tractography and tract of interest method have been adopted for tract-based analysis. Because tractography performs fiber tracking according to local diffusion measures, they can be sensitive to noise and tracking errors can be accumulated along the fiber. For more accurate localization of cingulum, we attempt to define it by skeleton extraction using the tensors' information throughout the tract of cingulum simultaneously, which is quite different from the idea of tractography. In this study, we introduce an approach to extract the skeleton of cingulum using active contour model, which allows us to optimize the location of cingulum in a global sense based on the diffusion measurements along the entire tract and contour regularity. Validation of this method on synthetic and experimental data proved that our approach is able to reduce the influence of noise and partial volume effect, and extract the skeleton of cingulum robustly and reliably. Our proposed method provides an approach to localize cingulum robustly, which is a very important feature for tract-based analysis and can be of important practical utility. |
WOS标题词 | Science & Technology |
关键词[WOS] | WHITE-MATTER ; HUMAN BRAIN ; TRACTOGRAPHY ; TRACKING ; SEGMENTATION ; CONNECTIVITY ; DEFLECTION ; CORTEX |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000315561400007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4010 |
专题 | 中国科学院分子影像重点实验室 |
作者单位 | 1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China 2.Georgia Tech, Dept Biomed Engn, Atlanta, GA USA 3.Emory Univ, Atlanta, GA 30322 USA |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Wu,Hu, Xiaoping. Robust Tract Skeleton Extraction of Cingulum Based on Active Contour Model from Diffusion Tensor MR Imaging[J]. PLOS ONE,2013,8(2):-. |
APA | Li, Wu,&Hu, Xiaoping.(2013).Robust Tract Skeleton Extraction of Cingulum Based on Active Contour Model from Diffusion Tensor MR Imaging.PLOS ONE,8(2),-. |
MLA | Li, Wu,et al."Robust Tract Skeleton Extraction of Cingulum Based on Active Contour Model from Diffusion Tensor MR Imaging".PLOS ONE 8.2(2013):-. |
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