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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun Zhu Ping Yan Papademetris, X. Sinusas, A.J. Duncan, J.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Biomed. Eng., Yale Univ., New Haven, CT (Yun Zhu; Ping Yan; Papademetris, X.; Sinusas, A.J.; Duncan, J.S.) |
| Abstract | Segmentation and motion estimation from cardiac images are usually considered separately, yet they can obviously benefit from each other. In this paper, we propose a joint segmentation and motion estimation algorithm for the purposes of myocardial deformation analysis and strain estimation. We use segmentation as a guide for selecting feature points with significant shape characteristics, and invoke a Generalized Robust Point Matching (GRPM) strategy with Boundary Element Method (BEM)-based regularization model to estimate the dense displacement field and strain map from 3-D cardiac sequences. Quantitative analysis of the results is performed in comparison with the displacements found using implanted markers, taken to be gold standards. |
| Starting Page | 1437 |
| Ending Page | 1440 |
| File Size | 177142 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424420025 |
| DOI | 10.1109/ISBI.2008.4541277 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image analysis Motion estimation Capacitive sensors Myocardium Image motion analysis Algorithm design and analysis Shape Robustness Boundary element methods Boundary Element Method Cardiac Motion Analysis Cardiac Image Segmentation Robust Point Matching |
| Content Type | Text |
| Resource Type | Article |
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