Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Characterization of the similarity between diffusion tensors for image registration
Computers in Biology and Medicine
Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Diffusion Tensor Field Registration in the Presence of Uncertainty
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Dual Tensor Atlas Generation Based on a Cohort of Coregistered non-HARDI Datasets
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Incorporating DTI data as a constraint in deformation tensor morphometry between T1 MR Images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Kernel-based manifold learning for statistical analysis of diffusion tensor images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Large deformation diffeomorphic registration using fine and coarse strategies
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
SIAM Journal on Imaging Sciences
Fast diffusion tensor registration with exact reorientation and regularization
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Patient-specific models of cardiac biomechanics
Journal of Computational Physics
Hi-index | 0.00 |
This paper proposes a method to match diffusion tensor magnetic resonance images (DT-MRI) through the large deformation diffeomorphic metric mapping of tensor fields on the image volume, resulting in optimizing for geodesics on the space of diffeomorphisms connecting two diffusion tensor images. A coarse to fine multi-resolution and multikernel- width scheme is detailed, to reduce both ambiguities and computation load. This is illustrated by numerical experiments on DT-MRI brain and images.