A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features
We develop an parametric dictionary learning algorithm to recover the dMRI signal with a reduced number of measurements. We propose a computational framework to model continuous dMRI signals and analytically recover the EAP, the ODF. This approach indicates a much better accuracy in terms of reconstruction error compared to state-of-the-art approaches.
diffusion mri dictionary learning sparse reconstruction orientation distribution function ensemble average propagator