Name
Abstract | ||
|---|---|---|
Deformable Template models are first applied to track the inner wall of coronary arteries in intravascular ultrasound sequences, mainly in the assistance to angioplasty surgery. A circular template is used for initializing an elliptical deformable model to track wall deformation when inflating a balloon placed at the tip of the catheter. We define a new energy function for driving the behavior of the template and we test its robustness both in real and synthetic images. Finally we introduce a framework for learning and recognizing spatio-temporal geometric constraints based on Principal Component Analysis (eigenconstraints). |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-62909-2_101 | EMMCVPR |
Keywords | Field | DocType |
deformable templates,intravascular ultrasound sequences,principal component analysis | Active contour model,Computer vision,Intravascular ultrasound,Computer science,Reference vector,Robustness (computer science),Artificial intelligence,Initialization,Template,Noise tolerance | Conference |
Volume | ISSN | ISBN |
1223 | 0302-9743 | 3-540-62909-2 |
Citations | PageRank | References |
4 | 0.77 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Escolano | 1 | 532 | 46.61 |
| Miguel Cazorla | 2 | 325 | 44.17 |
| Domingo Gallardo | 3 | 25 | 3.92 |
| R. Rizo | 4 | 51 | 14.90 |