Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours

doi:10.1016/j.neucom.2014.02.063

科研成果详情

题名	Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours
作者	Liu，Xin 1; Cheung，Yiu ming 2,3; Peng，Shu Juan 1; Peng，Qinmu 2
发表日期	2014-11-20
发表期刊	Neurocomputing
ISSN/eISSN	0925-2312
卷号	144 页码:47-57
摘要	Tracking the mitral valve leaflet in Echocardiography is of crucial importance to the better understanding of various cardiac diseases and is very helpful to assist the surgical intervention for mitral valve repair. In this paper, we present an automatic mitral leaflet motion tracking approach, which consists of two phases: constrained outlier pursuit for mitral leaflet detection and its shape refinement. In the former phase, we first learn a low-rank subspace which can gradually change over time to model the background sequence, and simultaneously detect sparse outliers through such low-rank representation. Then, we extract the supported states of the myocardial tissues to constrain the outlier pursuit for mitral leaflet detection, featuring on reliably removing the irrelevant outliers. In the latter phase, we further present a region-scalable active contour to refine the shapes of the detected mitral leaflet for final tracking. The proposed approach does not require any user-specified interactive information or pre-collected training data for learning. The robustness of its performance has been demonstrated against the fast mitral leaflet motions, shape deformation and unstable myocardial tissue appearance. Experimental results have shown that the proposed approach performs favorably on four challenging sequences in comparison with the state-of-the-art methods. © 2014 Elsevier B.V.
关键词	Constrained outlier pursuit Low-rank representation Mitral valve leaflet Region-scalable active contour Surgical intervention
DOI	10.1016/j.neucom.2014.02.063
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84906058864
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6487
专题	北师香港浸会大学
通讯作者	Liu，Xin
作者单位	1.College of Computer Science and Technology, Huaqiao University,Xiamen 361021,China 2.Department of Computer Science and Institute of Computational and Theoretical Studies, Hong Kong Baptist University,Hong Kong 3.United International College, Beijing Normal University-Hong Kong Baptist University,China
推荐引用方式 GB/T 7714	Liu，Xin,Cheung，Yiu ming,Peng，Shu Juanet al. Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours[J]. Neurocomputing, 2014, 144: 47-57.
APA	Liu，Xin, Cheung，Yiu ming, Peng，Shu Juan, & Peng，Qinmu. (2014). Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours. Neurocomputing, 144, 47-57.
MLA	Liu，Xin,et al."Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours". Neurocomputing 144(2014): 47-57.