Name
Abstract | ||
|---|---|---|
Intravascular ultrasound (IVUS) is a medical imaging technique that not only provides three-dimensional information about
the blood vessel lumen and wall, but also directly depicts atherosclerotic plaque structure and morphology. Automatic processing
of large data sets of IVUS data represents an important challenge due to ultrasound speckle and technology artifacts. A new
semi-automatic IVUS segmentation model, the fast-marching method, based on grayscale statistics of the images, is compared
to active contour segmentation. With fast-marching segmentation, the lumen, intima plus plaque structure, and media contours
are computed in parallel. Preliminary results of this new IVUS segmentation model agree very well with vessel wall contours.
Moreover, fast-marching segmentation is less sensitive to initialization with average distance between segmentation performed
with different initializations <0.85 % and Haussdorf distance <2.6 %.
|
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39903-2_53 | MICCAI (2) |
Keywords | Field | DocType |
fast marching,fast marching method,image segmentation,three dimensional,ultrasound,active contour | Active contour model,Computer vision,Intravascular ultrasound,Speckle pattern,Medical imaging,Fast marching method,Segmentation,Computer science,Image segmentation,Artificial intelligence,Grayscale | Conference |
Citations | PageRank | References |
12 | 1.39 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marie-Hélène Roy Cardinal | 1 | 92 | 7.38 |
| jean meunier | 2 | 12 | 1.39 |
| Gilles Soulez | 3 | 157 | 18.24 |
| roch l maurice | 4 | 12 | 1.39 |
| eric therasse | 5 | 12 | 1.39 |
| guy cloutier | 6 | 12 | 1.39 |