Multi-Spherical MRI: Breaking the Boundaries of Diffusion Time

Rutger H.J. Fick (1) , Alexandra Petiet (2) , Mathieu Santin (2) , Anne-Charlotte Philippe (2) , Stéphane Lehéricy (2) , Rachid Deriche (1) , Demian Wassermann (1)

1 ATHENA - Computational Imaging of the Central Nervous System
2 CENIR - Plateforme de neuroimagerie CENIR = Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris]

Effective representation of the diffusion signal’s dependence on diffusion time is a sought-after, yet still unsolved challenge in diffusion MRI (dMRI). We propose a functional basis approach that is specifically designed to represent the dMRI signal in this four-dimensional space – varying over gradient strength, direction and diffusion time – that we call the multi-spherical space. In particular, we provide regularization tools imposing signal sparsity and signal smoothness to drastically reduce the number of measurements we need to probe the properties of this multi-spherical space.

Domaines: Imagerie médicale; Traitement du signal et de l'image [eess.SP]; Imagerie

Rutger H.J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, et al.. Multi-Spherical MRI: Breaking the Boundaries of Diffusion Time. ISMRM Workshop on: Breaking the Barriers of Diffusion MRI, Sep 2016, Lisbonne, Portugal. . ⟨hal-01360440⟩