Fast submillimeter diffusion MRI using gSlider-SMS and SNR-enhancing joint reconstruction.

ABSTRACT:

Purpose

We evaluate a new approach for achieving diffusion MRI data with high spatial resolution, large volume coverage, and fast acquisition speed.

Theory and methods

A recent method called gSlider-SMS enables whole-brain submillimeter diffusion MRI with high signal-to-noise ratio (SNR) efficiency. However, despite the efficient acquisition, the resulting images can still suffer from low SNR due to the small size of the imaging voxels. This work proposes to mitigate the SNR problem by combining gSlider-SMS with a regularized SNR-enhancing reconstruction approach.

Results

Illustrative results show that, from gSlider-SMS data acquired over a span of only 25 minutes on a 3T scanner, the proposed method is able to produce 71 MRI images (64 diffusion encoding orientations

SUBMITTER: Haldar JP 

PROVIDER: S-EPMC7968733 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature