Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Orthonormal Vector Sets Regularization with PDE's and Applications
International Journal of Computer Vision
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Entropy Minimization for Automatic Correction of Intensity Nonuniformity
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Semi-supervised clustering: probabilistic models, algorithms and experiments
Semi-supervised clustering: probabilistic models, algorithms and experiments
International Journal of Computer Vision
Registration of Cortical Connectivity Matrices
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Fiber tracking in q-ball fields using regularized particle trajectories
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Coordinate-based versus structural approaches to brain image analysis
Artificial Intelligence in Medicine
Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding
MICCAI '08 Proceedings of the 11th 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
Inter-subject connectivity-based parcellation of a patch of cerebral cortex
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
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This paper exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical mantle using MR diffusion imaging. The parcellation is performed in two steps. First, the cortical mantle is split at a macroscopic level into 36 large gyri using a sulcus recognition system. Then, for each voxel of the cortex, a connection profile is computed using a probabilistic tractography framework. The tractography is performed from q-ball fields using regularized particle trajectories. Fiber ODF are inferred from the q-balls using a sharpening process focusing the weight around the q-ball local maxima. A sophisticated mask of propagation computed from a T1-weighted image perfectly aligned with the diffusion data prevents the particles from crossing the cortical folds. During propagation, the particles father child particles in order to improve the sampling of the long fascicles. For each voxel, intersection of the particle trajectories with the gyri lead to a connectivity profile made up of only 36 connection strengths. These profiles are clustered on a gyrus by gyrus basis using a K-means approach including spatial regularization. The reproducibility of the results is studied for three subjects using spatial normalization.