Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors

TL;DR

This paper introduces a method for rapid fiber orientation estimation in diffusion MRI by using kq-space under-sampling and anatomical priors, enabling high-resolution imaging with shorter acquisition times.

Contribution

It presents a novel approach combining kq-space under-sampling with anatomical priors to accurately recover fiber orientations in diffusion MRI.

Findings

Accurate FOD mapping from severe kq-space under-sampling.

Potential for high spatio-angular resolution dMRI in clinical settings.

Validated with simulations and real data.

Abstract

High spatio-angular resolution diffusion MRI (dMRI) has been shown to provide accurate identification of complex neuronal fiber configurations, albeit, at the cost of long acquisition times. We propose a method to recover intra-voxel fiber configurations at high spatio-angular resolution relying on a 3D kq-space under-sampling scheme to enable accelerated acquisitions. Simulations and real data analysis suggest that accurate FOD mapping can be achieved from severe kq-space under-sampling regimes potentially enabling high spatio-angular resolution dMRI in the clinical setting.