Compressed Sensing 3D-GRASE for faster High-Resolution MRI.

ABSTRACT:

Purpose

High-resolution three-dimensional (3D) structural MRI is useful for delineating complex or small structures of the body. However, it requires long acquisition times and high SAR, limiting its clinical use. The purpose of this work is to accelerate the acquisition of high-resolution images by combining compressed sensing and parallel imaging (CSPI) on a 3D-GRASE sequence and to compare it with a (CS)PI 3D-FSE sequence. Several sampling patterns were investigated to assess their influence on image quality.

Methods

The proposed k-space sampling patterns are based on two undersampled k-space grids, variable density (VD) Poisson-disc, and VD pseudo-random Gaussian, and five different trajectories described in the literature. Bloch simulations are performed to obtain the t

SUBMITTER: Cristobal-Huerta A 

PROVIDER: S-EPMC6619236 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature