Name
Abstract | ||
|---|---|---|
We introduce a new hybrid physics-based approach for elastic image registration using approximating splines. As underlying deformation model we employ Gaussian elastic body splines (GEBS), which are an analytic solution of the Navier equation under Gaussian forces and are represented by matrix-valued basis functions. Our approach is formulated as an energy-minimizing functional that incorporates both landmark and intensity information as well as a regularization based on GEBS. We also include landmark localization uncertainties represented by weight matrices. Since the approach is based on a physical deformation model, cross-effects in elastic deformations can be handled. We demonstrate the applicability of our scheme based on MR images of the human brain. It turns out that the new scheme is superior to a pure landmark-based as well as a pure intensity-based scheme. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1117/12.769448 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
registration,hybrid elastic registration,Gaussian elastic body splines,localization uncertainties | Spline (mathematics),Applied mathematics,Mathematical optimization,Matrix (mathematics),Gaussian,Regularization (mathematics),Basis function,Deformation (mechanics),Landmark,Image registration,Mathematics | Conference |
Volume | ISSN | Citations |
6914 | 0277-786X | 5 |
PageRank | References | Authors |
0.45 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Wörz | 1 | 256 | 32.58 |
| Karl Rohr | 2 | 33 | 7.02 |