Name
Title | ||
|---|---|---|
Edge Based Segmentation of Left and Right Ventricles Using Two Distance Regularized Level Sets. |
Abstract | ||
|---|---|---|
In this paper, we present a new approach for segmentation of left and right ventricles from cardiac MR images. A two-level-set formulation is proposed which is the extension of distance regularized level set evolution (DRLSE) model in [1], with the 0-level set and k-level set representing the endocardium and epicardium, respectively. The extraction of endocardium and epicardium is obtained as a result of the interactive curve evolution of the 0 and k level sets derived from the proposed variational level set formulation. The initialization of the proposed two-level-set DRLSE model is generated by performing the original DRLSE from roughly located endocardium. Experimental results have demonstrated the effectiveness of the proposed two-level-set DRLSE model. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-27863-6_19 | ADVANCES IN VISUAL COMPUTING, PT II (ISVC 2015) |
Field | DocType | Volume |
Pattern recognition,Segmentation,Computer science,Level set,Left and right,Artificial intelligence,Initialization,Curve evolution,Endocardium | Conference | 9475 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Liu | 1 | 2 | 0.72 |
| Yue Zhao | 2 | 186 | 33.54 |
| Shuxu Guo | 3 | 2 | 0.72 |
| Shaoxiang Zhang | 4 | 44 | 7.30 |
| Chunming Li | 5 | 2683 | 98.49 |