Name
Abstract | ||
|---|---|---|
We have developed an algorithm for the rigid-body registration of a 3D CT to a set of C-arm images by matching them to computed cone-beam projections of the CT (DRRs). We precomputed rescaled versions (pyramid) of the CT volume and of the C-arm images. We perform the registration of the CT to the C-arm images starting from their coarsest resolution until we reach some finer resolution that offers a good compromise between time and accuracy. To achieve precision, we use a cubic-spline data model to compute the data pyramids, the DRRs, and the gradient and the Hessian of the cost function. We validate our algorithm on a 3D CT and on C-arm images of a cadaver spine using fiducial markers. When registering the CT to two C-arm images, our algorithm operates safely if the angle between the two image planes is larger than 10degrees. It achieves an accuracy of approximately 2.0 +/- 1.0 mm. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1117/12.480241 | Proceedings of SPIE |
Keywords | Field | DocType |
3D/2D image registration,intensity-based registration,DRR,B-splines,multiresolution | Computer vision,Data modeling,Fiducial marker,Hessian matrix,Pyramid,Artificial intelligence,Data model,Mathematics,Image registration | Conference |
Volume | ISSN | Citations |
5032 | 0277-786X | 6 |
PageRank | References | Authors |
0.63 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Slavica Jonić | 1 | 28 | 4.96 |
| Philippe Thevenaz | 2 | 35 | 3.26 |
| M Unser | 3 | 4335 | 499.89 |