Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
Alignment by maximization of mutual information
Alignment by maximization of mutual information
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Shape analysis of human brain with cognitive disorders
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Advances on medical imaging and computing
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Deformable registration for generating dissection image of an intestine from annular image sequence
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
| Hi-index | 0.10 |
In this paper, a nonrigid registration method is presented for accommodating local shape variation when matching monomodal images or multimodal images. Affine transformation is adopted in global registration while local deformation is described by a free-form deformation based on a linear singular blending (LSB) B-spline, which can enhance the shape-control capability of the B-spline. This capability is derived from the blending parameters defined at the B-spline control points. The local deformation of images can be controlled by changing positions of the control points or altering values of blending parameters. Two voxel-based similarity measures, the SSD for monomodal images and mutual information for multimodal images are used. Experiments on simulated and real data have been performed to evaluate the accuracy of our method. We have also compared the results of the proposed approach to those obtained by affine and B-spline registration techniques. The results indicate that the proposed method is much better to describe the deformation than the affine algorithm and B-spline techniques.