Diffusion MRI is a well established imaging modality
providing a powerful way to non-invasively probe the
structure of the white matter. Despite the potential of
the technique, the intrinsic long scan times of these
sequences have hampered their use in clinical practice.
For this reason, a wide variety of methods have been
proposed to shorten acquisition times. [...] We here
review a recent work where we propose to further exploit
the versatility of compressed sensing and convex
optimization with the aim to characterize the fiber
orientation distribution sparsity more optimally. We
re-formulate the spherical deconvolution problem as a
constrained l0 minimization.