Spatial HARDI: Improved visualization of complex white matter architecture with Bayesian spatial regularization

► A new method to utilize spatial information to constrain the reconstruction of ODFs from raw diffusion MRI data. ► Improves angular resolution and noise tolerance. ► Spatial constraints in terms of a prior distributions, incorporated in a Bayesian formulation. ► A Novel iterative algorithm based on LSQR. ► Results indicate significant gains in angular resolution, crossing fibers and reconstruction SNR. ► Possible impact: improved evaluation of white matter microstructural integrity in regions of crossing fibers and higher spatial/angular resolution.