Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
Characterization of Neuropathological Shape Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cooperation between Local and Global Approaches to Register Brain Images
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
A Feature Space for Derivatives of Deformations
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
3D Multi-Modality Medical Image Registration Using Feature Space Clustering
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Cortical Constraints for Non-Linear Cortical Registration
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Statistical Modeling of Pairs of Sulci in the Context of Neuroimaging Probabilistic Atlas
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
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Within the scope of three-dimensional brain imaging we propose an inter-individual fusion scheme to register functional activations relatively to anatomical cortical structures, the sulci. This approach is local and non-linear. It relies on a statistical sulci shape model accounting for the inter-individual variability of a population of subjects, and providing deformation modes relatively to a reference shape (a mean sulcus). The deformation field obtained between a given sulcus and the reference sulcus is extended to a neighborhood of the given sulcus by using the thin-plate spline interpolation. It is then applied to the functional activations associated with this sulcus. This approach is compared with other classical matching methods.