Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
The NURBS book
Preventing Self-Intersection under Free-Form Deformation
IEEE Transactions on Visualization and Computer Graphics
Non-rigid Registration with Use of Hardware-Based 3D Bézier Functions
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Using Points and Surfaces to Improve Voxel-Based Non-rigid Registration
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
A locally constrained radial basis function for registration and warping of images
Pattern Recognition Letters
Shape analysis of human brain with cognitive disorders
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Computer Methods and Programs in Biomedicine
Local joint entropy based non-rigid multimodality image registration
Pattern Recognition Letters
Hi-index | 0.10 |
The focus of medical image registration has shifted to nonrigid registration. It is also a core component in computational neuroanatomy. In this paper, we propose an efficient registration framework which has feature of multiresolution and multigrid. In contrast to the existing registration algorithms. Free-Form Deformations based NURBS (Nonuniform Rational B Spline) are used to acquire nonrigid transformation. This can provide a competitive alternative to Free-Form Deformations based B spline on flexibility and accuracy. To our knowledge, it is the first report of the use of this mathematical tool for medical image registration. Subdivision of NURBS is extended to 3D and is used in hierarchical optimization to speed up the registration and avoid local minima. The performance of this method is numerically evaluated on simulated images and real images. Compared with the registration method using uniform Free-Form Deformations based B spline, our method can successfully register images with improved performance.