Performance Comparison of Compressed Sensing Algorithms for Accelerating T_1ρ Mapping of Human Brain.

ABSTRACT:

Background

3D-T_1ρ mapping is useful to quantify various neurologic disorders, but data are currently time-consuming to acquire.

Purpose

To compare the performance of five compressed sensing (CS) algorithms-spatiotemporal finite differences (STFD), exponential dictionary (EXP), 3D-wavelet transform (WAV), low-rank (LOW) and low-rank plus sparse model with spatial finite differences (L + S SFD)-for 3D-T_1ρ mapping of the human brain with acceleration factors (AFs) of 2, 5, and 10.

Study type

Retrospective.

Subjects

Eight healthy volunteers underwent T_1ρ imaging of the whole brain.

Field strength/sequence

The sequence was fully sampled 3D Cartesian ultrafast gradient echo sequence with a customized T_1ρ preparation

SUBMITTER: Menon RG 

PROVIDER: S-EPMC8204726 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature