Impact of radial and angular sampling on multiple shells acquisition in diffusion MRI

Sylvain Merlet (1) , Emmanuel Caruyer (1) , Rachid Deriche (1)

1 ATHENA - Computational Imaging of the Central Nervous System

We evaluate the impact of radial and angular sampling on multiple shells (MS) acquisition in diffusion MRI. The validation of our results is based on a new and efficient method to accurately reconstruct the Ensemble Average Propagator (EAP) in term of the Spherical Polar Fourier (SPF) basis from very few diffusion weighted magnetic resonance images (DW-MRI). This approach nicely exploits the duality between SPF and a closely related basis in which one can respectively represent the EAP and the diffusion signal using the same coefficients. We efficiently combine this relation to the recent acquisition and reconstruction technique called Compressed Sensing (CS). Based on results of multi-tensors models reconstruction, we show how to construct a robust acquisition scheme for both neural fibre orientation detection and attenuation signal/EAP reconstruction.

Mots clés: Diffusion MRI; Compressed sensing; Ensemble Average Propagator recovery; Propagator; Orientation Distribution Function; Spherical Polar Fourier; Multiple Shells Sampling

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

Sylvain Merlet, Emmanuel Caruyer, Rachid Deriche. Impact of radial and angular sampling on multiple shells acquisition in diffusion MRI. MICCAI 2011, Sep 2011, Toronto, Canada. pp.113-121. ⟨hal-00614387⟩