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Chapter and Conference Paper
MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects
This paper proposes a method to infer a high level model of the white matter organization from a population of subjects using MR diffusion imaging. This method takes as input for each subject a set of trajecto...
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Chapter and Conference Paper
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Most of the approaches dedicated to fiber tracking from diffusion-weighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orientation within each imaging voxel. New e...
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Chapter and Conference Paper
A Spin Glass Based Framework to Untangle Fiber Crossing in MR Diffusion Based Tracking
We propose a general approach to the reconstruction of brain white matter geometry from diffusion-weighted data. This approach is based on an inverse problem framework. The optimal geometry corresponds to the ...
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Chapter and Conference Paper
Regularization of MR diffusion tensor maps for tracking brain white matter bundles
We propose a new way for tracking brain white matter fiber bundles in diffusion tensor maps. Diffusion maps provide information about mobility of water protons in different directions. Assuming that diffusion ...