Name
Title | ||
|---|---|---|
Myocardium segmentation from DE MRI with guided random walks and sparse shape representation. |
Abstract | ||
|---|---|---|
The authors propose a novel approach for the segmentation of myocardium from DE MRI by using the sparse representation-based shape model and guided random walks. The sparse representation method effectively models the prior shape with a small number of shape templates, and the proposed method has the potential to achieve clinically relevant results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1817-4 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Delayed enhancement MRI,Myocardium segmentation,Guided random walks,Prior shape modeling,Sparse representation | Computer vision,Segmentation,Random walk,Visualization,Sparse approximation,Artificial intelligence,Medicine,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
13 | 10 | 1861-6410 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Liu | 1 | 0 | 0.68 |
| Xiahai Zhuang | 2 | 411 | 38.76 |
| Hongzhi Xie | 3 | 1 | 1.74 |
| Shuyang Zhang | 4 | 13 | 1.97 |
| Lixu Gu | 5 | 230 | 35.28 |