Optimization of undersampling parameters for 3D intracranial compressed sensing MR angiography at 7 T.

ABSTRACT:

Purpose

3D time-of-flight MRA can accurately visualize the intracranial vasculature but is limited by long acquisition times. Compressed sensing reconstruction can be used to substantially accelerate acquisitions. The quality of those reconstructions depends on the undersampling patterns used. In this work, we optimize sets of undersampling parameters for various acceleration factors of Cartesian 3D time-of-flight MRA.

Methods

Fully sampled datasets, acquired at 7 Tesla, were retrospectively undersampled using variable-density Poisson disk sampling with various autocalibration region sizes, polynomial orders, and acceleration factors. The accuracy of reconstructions from the different undersampled datasets was assessed using the vessel-masked structural similarity index. Ide

SUBMITTER: de Buck MHS 

PROVIDER: S-EPMC9314035 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature