Multi-Fascicle Model Reconstruction from Acquisitions of DWI at a Single B-Value with a Population-Informed Prior

Maxime Taquet¹, ², Benoit Scherrer¹, Benoit Macq², Simon K. Warfield¹

DTI are unable to distinguish fascicles crossing in one voxel, making them impractical to study the white matter microstructure and the brain connectivity. Multi-tensor models are a valuable option in these contexts. However, their reconstruction requires acquisitions of DWI at multiple b-values, unlike all datasets acquired with a single-shell HARDI sequence. This results in a waste of money, effort and imaging time. In this study, we propose a method to circumvent the multiple b-values requirement, allowing the community to use their existing datasets to reconstruct multi-fascicle models and conduct further analyses of the white matter at no additional cost.