| Title | Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours |
| Creator | |
| Date Issued | 2014-11-20 |
| Source Publication | Neurocomputing
 |
| ISSN | 0925-2312 |
| Volume | 144Pages:47-57 |
| Abstract | 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. |
| Keyword | Constrained outlier pursuit Low-rank representation Mitral valve leaflet Region-scalable active contour Surgical intervention |
| DOI | 10.1016/j.neucom.2014.02.063 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-84906058864 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6487 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Liu，Xin |
| Affiliation | 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 |
| Recommended Citation 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. |
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