Active shape models—their training and application
Computer Vision and Image Understanding
Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Hierarchical Matching of Cortical Features for Deformable Brain Image Registration
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Using Local Geometry to Build 3D Sulcal Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Registration of Cortical Anatomical Structures via Robust 3D Point Matching
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
A New Approach to 3D Sulcal Ribbon Finding from MR Images
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Recognition of Cortical Sulci Using a Congregation of Neural Networks
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Cortical Constraints for Non-Linear Cortical Registration
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Non-linear Cerebral Registration with Sulcal Constraints
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Non-linear Local Registration of Functional Data
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
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
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
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In this paper, we investigate the introduction of cortical constraints for non rigid inter-subject brain registration. We extract sulcal patterns with the active ribbon method, presented in [10]. An energy based registration method [7] makes it possible to incorporate the matching of cortical sulci, and express in a unified framework the local sparse similarity and the global "iconic" similarity. We show the objective benefits of cortical constraints on a database of 18 subjects, with global and local measures of the quality of the registration.