Cooperation between Local and Global Approaches to Register Brain Images
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonrigid registration of brain MRI using NURBS
Pattern Recognition Letters
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Brain image registration using cortically constrained harmonic mappings
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Pairwise registration of images with missing correspondences due to resection
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Computer Methods and Programs in Biomedicine
A novel 3d correspondence-less method for MRI and paxinos-watson atlas of rat brain registration
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
SUPIR: surface uncertainty-penalized, non-rigid image registration for pelvic CT imaging
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
International Journal of Computer Vision
Hi-index | 0.00 |
Voxel-based non-rigid registration algorithms have been successfully applied to a wide range of image types. However, in some cases the registration of quite different images, e.g. pre- and post-resection images, can fail because of a lack of voxel intensity correspondences. One solution is to introduce feature information into the voxel-based registration algorithms in order to incorporate higher level information about the expected deformation.We illustrate using one voxel-based registration algorithm that the incorporation of features yields considerable improvement of the registration results in such cases.