Name
Title | ||
|---|---|---|
Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities |
Abstract | ||
|---|---|---|
We introduce a new approach for spline-based elastic registration using both point landmarks and intensity information. With this approach, both types of information and a regularization based on the Navier equation are directly integrated in a single energy minimizing functional. For this functional, we have derived an analytic solution, which is based on matrix-valued non-radial basis functions. Our approach can cope with monomodal and multimodal images. For the latter case, we have integrated a computationally efficient analytic similarity measure. We have successfully applied our approach to synthetic images, phantom images, and MR images of the human brain. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.911414 | Proceedings of SPIE |
Keywords | Field | DocType |
Hybrid elastic registration,Landmarks and intensities,Mutual information,Analytic solution | Spline (mathematics),Computer vision,Similarity measure,Matrix (mathematics),Direct integration of a beam,Imaging phantom,Regularization (mathematics),Mutual information,Basis function,Artificial intelligence,Physics | Conference |
Volume | ISSN | Citations |
8314 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Wörz | 1 | 256 | 32.58 |
| Andreas Biesdorf | 2 | 21 | 4.05 |
| K. Rohr | 3 | 138 | 14.52 |