Title | ||
---|---|---|
A robust optimization strategy for intensity-based 2D/3D registration of knee implant models to single-plane fluoroscopy |
Abstract | ||
---|---|---|
During intensity-based 2D/3D registration of 3D CAD models of knee implant components to a calibrated single-plane fluoroscopy image, a similarity measure between the fluoroscopy and a rendering of the model onto the image plane is maximized w.r.t. the 3D pose parameters of the model. This work focuses on a robust strategy for finding this maximum by extending the standard Powell optimization algorithm with problem-specific knowledge. A combination of feature-based and intensity-based methods is proposed. At each iteration of the optimization process, feature information is used to compute an additional search direction along which the image-based similarity measure is maximized. Hence, the advantages of intensity-based registration (accuracy) and feature-based registration (robustness) are combined. The proposed method is compared with the standard Powell optimization strategy, using an image-based similarity measure only, on simulated fluoroscopy images. It is shown that the proposed method generally has higher accuracy, more robustness and a better convergence behavior. Although introduced for the registration of 3D CAD models of knee implant components to single-plane fluoroscopy images, the optimization strategy is easily extendible and applicable to other 2D/3D registration applications. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1117/12.708538 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
2D/3D registration,powell optimization,knee implants | CAD,Convergence (routing),Computer vision,Similarity measure,Robust optimization,Image plane,Robustness (computer science),Fluoroscopy,Artificial intelligence,Engineering,Rendering (computer graphics) | Conference |
Volume | ISSN | Citations |
6512 | 0277-786X | 2 |
PageRank | References | Authors |
0.43 | 4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
jeroen hermans | 1 | 4 | 0.87 |
P. Claes | 2 | 54 | 5.42 |
Johan Bellemans | 3 | 5 | 1.34 |
Dirk Vandermeulen | 4 | 2419 | 356.13 |
Paul Suetens | 5 | 2811 | 431.53 |