Name
Abstract | ||
|---|---|---|
We describe a technique for 4D-reconstruction of coronary arteries from a sequence of monoplane X-ray angiograms. An initial 3D model of coronary centerlines is reconstructed from two appropriate views. A 3D-2D registration framework is formulated in which the model deforms in space to best fit the given angiograms. The 3D motion model is hierarchical and includes rigid, affine and B-spline transformations. The registration is guided by a sum of energy terms which measures the goodness of the 3D-2D mapping and constrains the deformation of the model. The method is tested on three sequences of patient data, each containing 248 frames. The registration time for one frame varies between one and four minutes. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11556121_89 | CAIP |
Keywords | Field | DocType |
registration framework,motion model,model deforms,coronary centerline,b-spline transformation,monoplane x-ray angiograms,monoplane angiograms,registration time,energy term,appropriate view,coronary artery | B-spline,Affine transformation,Computer vision,Coronary arteries,Computer science,Pattern analysis,Image processing,Monoplane,Artificial intelligence,Image registration,Angiography | Conference |
Volume | ISSN | ISBN |
3691 | 0302-9743 | 3-540-28969-0 |
Citations | PageRank | References |
6 | 0.48 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Bouattour | 1 | 6 | 0.48 |
| R. Arndt | 2 | 6 | 0.48 |
| D. Paulus | 3 | 64 | 6.46 |