Name
Title | ||
|---|---|---|
Segmentation of myocardial regions in echocardiography using the statistics of the radio-frequency signal |
Abstract | ||
|---|---|---|
We present an original Radial Basis Functions-based multiphase level set approach for the segmentation of cardiac structures in echocardiography. The method relies on two main contributions. We first describe a distribution allowing for the modeling of the radiofrequency signal for both blood and myocardial regions. We then formulate the problem of segmenting several cardiac regions in echocardiography using a Maximum Likelihood framework based on the proposed distribution. We minimize the resulting functional using a RBF-based multiphase level set model. Results obtained on both simulation and data acquired in vivo demonstrate the ability of our method to segment myocardial regions in echocardiography imaging. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72907-5_44 | FIMH |
Keywords | Field | DocType |
myocardial region,main contribution,rbf-based multiphase level set,cardiac region,segment myocardial region,echocardiography imaging,maximum likelihood framework,radio-frequency signal,proposed distribution,multiphase level set approach,cardiac structure,radio frequency,level set,radial basis function,maximum likelihood,radiofrequency | Mathematical optimization,Radio frequency signal,Radial basis function,Pattern recognition,Segmentation,Level set,Maximum likelihood,Artificial intelligence,Mathematics | Conference |
Volume | ISSN | Citations |
4466 | 0302-9743 | 4 |
PageRank | References | Authors |
0.46 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Bernard | 1 | 690 | 63.59 |
| Basma Touil | 2 | 4 | 0.46 |
| Arnaud Gelas | 3 | 21 | 3.06 |
| Rémy Prost | 4 | 521 | 41.14 |
| Denis Friboulet | 5 | 403 | 32.65 |