Name
Abstract | ||
|---|---|---|
•We investigate fast detection of the left ventricle (LV) endo- and epicardium surfaces in cardiac MRI via convex relaxation and distribution matching.•Our algorithm requires only a single subject for training and a very simple user input, which amounts to a single point per target regions includng cavity or myocardium.•Our parallelized implementation on a graphics processing unit (GPU) demonstrates that the proposed algorithm requires about seconds for a typical cardiac MRI volume, a speed-up of about 5 times in comparison to a standard implementation.•We further demonstrate experimentally that (1) the performance of the algorithm is not significantly affected by the choice of the training subject; and (2) the shape description we use does not change significantly from one subject to another 1. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.media.2013.05.002 | Medical Image Analysis |
Keywords | Field | DocType |
Convex-relaxation optimization,3D segmentation,Cardiac MRI,Fixed-point optimization,Graphics processing unit | Pattern recognition,Segmentation,Pose,Regular polygon,Augmented Lagrangian method,Artificial intelligence,Invariant (mathematics),Prior probability,Graphics processing unit,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
17 | 8 | 1361-8415 |
Citations | PageRank | References |
18 | 0.98 | 37 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cyrus Nambakhsh | 1 | 98 | 5.10 |
| Jing Yuan | 2 | 182 | 12.30 |
| Kumaradevan Punithakumar | 3 | 216 | 24.40 |
| Aashish Goela | 4 | 99 | 7.97 |
| Martin Rajchl | 5 | 421 | 34.67 |
| Terry M. Peters | 6 | 1335 | 181.71 |
| Ismail Ben Ayed | 7 | 678 | 52.28 |