Name
Abstract | ||
|---|---|---|
A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom. |
Year | Venue | Field |
|---|---|---|
2014 | Lecture Notes in Computer Science | Coronary artery disease,Rotational angiography,Coordinate system,Pattern recognition,Landmark point,Computer science,Imaging phantom,Rigid transformation,Algorithm,Artificial intelligence,Bilinear interpolation,Energy minimization |
DocType | Volume | Issue |
Conference | 8674 | Pt 2 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.39 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serkan Çimen | 1 | 20 | 3.26 |
| Corné Hoogendoorn | 2 | 2 | 0.39 |
| Paul D Morris | 3 | 2 | 0.39 |
| Julian Gunn | 4 | 2 | 0.39 |
| Alejandro F. Frangi | 5 | 4333 | 309.21 |