Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
564831 | Signal Processing | 2007 | 6 Pages |
Abstract
In the field of non-rigid medical image registration, many regularizers based on first- or second-order derivatives have been studied. In this paper, a new regularization term based on fractional order derivatives is proposed for the registration of multimodal (e.g., medical) images. It can be seen as a generalization of the diffusion and curvature smoothing terms, but with this approach it is possible to obtain better registration results in terms of both similarity of the images and smoothness of the transformation. This registration scheme is tested on two realistic medical imaging scenarios, comparing the obtained results with the optimally registered diffusion and curvature cases.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jorge Larrey-Ruiz, Juan Morales-Sánchez, Rafael Verdú-Monedero,