Abstract
Arterial spin labeling (ASL) is a noninvasive method to measure cerebral blood flow (CBF). Arterial spin labeling is susceptible to artifact generated by head motion; this artifact is propagated through the subtraction procedure required to calculate CBF. We introduce a novel strategy for mitigating this artifact based on weighting tag/control volumes according to a noise estimate. We evaluated this strategy (DVARS weighting) in application to both pulsed ASL (PASL) and pseudo-continuous ASL (pCASL) in a cohort of normal adults (N=57). Application of DVARS weighting significantly improved test-retest repeatability as assessed by the intra-class correlation coefficient. Before the application of DVARS weighting, mean gray matter intra-class correlation (ICC) between subsequent ASL runs was 0.48 and 0.51 in PASL and pCASL, respectively. With weighting, ICC was significantly improved to 0.63 and 0.58.
Original language | English |
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Pages (from-to) | 1697-1702 |
Number of pages | 6 |
Journal | Journal of Cerebral Blood Flow and Metabolism |
Volume | 35 |
Issue number | 10 |
DOIs | |
State | Published - Oct 3 2015 |
Keywords
- ASL
- arterial spin labeling
- cerebral blood flow measurement
- perfusion-weighted MRI