Name
Abstract | ||
|---|---|---|
In this paper we present a new algorithm to track an organ in a sequence of medical images in order to achieve a 3D reconstruction. The automatic method that we propose allows the tracking of the external contour of the anatomical organ in all the sequence from one contour initialized by the user on the first image. The required operations for our tracking method are the region-based active contours segmentation. The objects localization with dynamic prediction of displacements is based on the level-set functions and the definition of the region of interest for the robust local estimation of the image model. An application of this method is the 3D reconstruction of abdominal aorta. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1142/S0219467806002252 | INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS |
Keywords | Field | DocType |
Sequence of medical images, active contours propagation, automatic segmentation, dynamic prediction of displacement | Active contour model,Computer vision,Pattern recognition,Segmentation,Dynamic prediction,Artificial intelligence,Region of interest,Mathematics,3D reconstruction | Journal |
Volume | Issue | ISSN |
6 | 2 | 0219-4678 |
Citations | PageRank | References |
2 | 0.38 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khalifa Djemal | 1 | 42 | 8.97 |
| William Puech | 2 | 535 | 76.74 |
| Bruno Rossetto | 3 | 11 | 4.18 |