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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lin Yang Georgescifi, B. Yefeng Zheng Foran, D.J. Comaniciu, D. |
| Copyright Year | 2008 |
| Description | Author affiliation: ECE Dept, Rutgers Univ., Piscataway, NJ (Lin Yang) |
| Abstract | Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and accurate learning based 3D tracking algorithm is presented. A novel one-step forward prediction is proposed to generate the motion prior using motion manifold learning. Collaborative trackers are introduced to achieve both temporal consistence anproc biomedical optical ima image segmentation cellular biophys fluores biology comd tracking robustness. The algorithm is completely automatic and computationally efficient. The mean point-to-mesh error of our algorithm is 1.28 mm. It requires less than 1.5 seconds to process a 3D volume (160 x 148 x 208 voxels). |
| Starting Page | 221 |
| Ending Page | 224 |
| File Size | 651057 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424420025 |
| DOI | 10.1109/ISBI.2008.4540972 |
| 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 | Echocardiography Ultrasonic imaging Robustness Tracking Computed tomography Magnetic resonance imaging Motion analysis Collaboration Heart Visualization Left Ventricles Ultrasound |
| Content Type | Text |
| Resource Type | Article |
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