Regional Reliability of Quantitative Signal Targeting with Alternating Radiofrequency (STAR) Labeling of Arterial Regions (QUASAR)

Yasuko Tatewaki, Shuichi Higano, Yasuyuki Taki, Benjamin Thyreau, Takaki Murata, Shunji Mugikura, Daisuke Ito, Kei Takase, Syouki Takahashi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

BACKGROUND AND PURPOSE: Quantitative signal targeting with alternating radiofrequency labeling of arterial regions (QUASAR) is a recent spin labeling technique that could improve the reliability of brain perfusion measurements. Although it is considered reliable for measuring gray matter as a whole, it has never been evaluated regionally. Here we assessed this regional reliability. METHODS: Using a 3-Tesla Philips Achieva whole-body system, we scanned four times 10 healthy volunteers, in two sessions 2 weeks apart, to obtain QUASAR images. We computed perfusion images and ran a voxel-based analysis within all brain structures. We also calculated mean regional cerebral blood flow (rCBF) within regions of interest configured for each arterial territory distribution. RESULTS: The mean CBF over whole gray matter was 37.74 with intraclass correlation coefficient (ICC) of .70. In white matter, it was 13.94 with an ICC of .30. Voxel-wise ICC and coefficient-of-variation maps showed relatively lower reliability in watershed areas and white matter especially in deeper white matter. The absolute mean rCBF values were consistent with the ones reported from PET, as was the relatively low variability in different feeding arteries. CONCLUSIONS: Thus, QUASAR reliability for regional perfusion is high within gray matter, but uncertain within white matter.

Original languageEnglish
Pages (from-to)554-561
Number of pages8
JournalJournal of Neuroimaging
Volume24
Issue number6
DOIs
Publication statusPublished - 2014 Nov 1

Keywords

  • ASL
  • QUASAR
  • Regional cerebral blood flow
  • Regional reliability

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

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