Investigating white matter perfusion using optimal sampling strategy arterial spin labeling at 7 Tesla.

ABSTRACT:

Purpose

Cerebral blood flow (CBF) is an informative physiological marker for tissue health. Arterial spin labeling (ASL) is a noninvasive MRI method of measuring this parameter, but it has proven difficult to measure white matter (WM) CBF due to low intrinsic contrast-to-noise ratio compared with gray matter (GM). Here we combine ultra-high field and optimal sampling strategy (OSS) ASL to investigate WM CBF in reasonable scan times.

Methods

A FAIR-based ASL sequence at 7T was combined with a real-time-feedback OSS technique, to iteratively improve post-label image acquisition times (TIs) on a tissue- and subject-specific basis to obtain WM CBF quantification.

Results

It was found 77% of WM voxels gave a reasonable CBF fit. Averaged WM CBF for these voxels was found to

SUBMITTER: Gardener AG 

PROVIDER: S-EPMC4657501 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature