A method for reducing the effects of motion contamination in arterial spin labeling magnetic resonance imaging

Aaron B. Tanenbaum, Abraham Z. Snyder, Matthew R. Brier, Beau M. Ances

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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 languageEnglish
Pages (from-to)1697-1702
Number of pages6
JournalJournal of Cerebral Blood Flow and Metabolism
Volume35
Issue number10
DOIs
StatePublished - Oct 3 2015

Keywords

  • ASL
  • arterial spin labeling
  • cerebral blood flow measurement
  • perfusion-weighted MRI

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