High spatial resolution compressed sensing (HSPARSE) functional MRI.

ABSTRACT:

Purpose

To propose a novel compressed sensing (CS) high spatial resolution functional MRI (fMRI) method and demonstrate the advantages and limitations of using CS for high spatial resolution fMRI.

Methods

A randomly undersampled variable density spiral trajectory enabling an acceleration factor of 5.3 was designed with a balanced steady state free precession sequence to achieve high spatial resolution data acquisition. A modified k-t SPARSE method was then implemented and applied with a strategy to optimize regularization parameters for consistent, high quality CS reconstruction.

Results

The proposed method improves spatial resolution by six-fold with 12 to 47% contrast-to-noise ratio (CNR), 33 to 117% F-value improvement and maintains the same temporal resolution. It

SUBMITTER: Fang Z 

PROVIDER: S-EPMC5253235 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature