Name
Abstract | ||
|---|---|---|
In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (+/- 0.1326) mm. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23626-6_51 | MICCAI (3) |
Keywords | Field | DocType |
robust computation,mean distance error,media-adventitia border,automatic detection,holistic approach,quality measure,intravascular ultrasound | Computer vision,Intravascular ultrasound,Computer science,External elastic lamina,Artificial intelligence,Adventitia,Computation | Conference |
Volume | Issue | ISSN |
14 | Pt 3 | 0302-9743 |
Citations | PageRank | References |
3 | 0.45 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ciompi Francesco | 1 | 837 | 39.53 |
| Oriol Pujol | 2 | 963 | 60.82 |
| C. Gatta | 3 | 521 | 37.03 |
| Xavier Carillo | 4 | 68 | 6.92 |
| Josepa Mauri | 5 | 123 | 12.15 |
| Petia Radeva | 6 | 1684 | 153.53 |