Quantification issues in arterial spin labeling perfusion magnetic resonance imaging

• Published in: Topics in magnetic resonance imaging Vol. 21; no. 2; pp. 65 - 73
• Main Authors: Wu, Wen-Chau, St Lawrence, Keith S, Licht, Daniel J, Wang, Danny J J
• Format: Journal Article
• Language: English
• Published: United States 01-04-2010
• Subjects: Arteries - pathology; Cerebrovascular Circulation; Humans; Magnetic Resonance Angiography - statistics & numerical data; Reproducibility of Results; Spin Labels
• ISSN: 0899-3459; 1536-1004
• DOI: 10.1097/RMR.0b013e31821e570a

Arterial spin labeling (ASL) perfusion magnetic resonance imaging has gained wide acceptance for its value in clinical and neuroscience applications during recent years. Its capability for noninvasive and absolute perfusion quantification is a key characteristic that makes ASL attractive for many clinical applications. In the present review, we discuss the main parameters or factors that affect the reliability and accuracy of ASL perfusion measurements. Our secondary goal was to outline potential solutions that may improve the reliability and accuracy of ASL in clinical settings. It was found that, through theoretical analyses, flow quantification is most sensitive to tagging efficiency and estimation of the equilibrium magnetization of blood signal (M(0b)). Variations of blood T1 have a greater effect on perfusion quantification than variations of tissue T1. Arterial transit time becomes an influential factor when it is longer than the postlabeling delay time. The T2's of blood and tissue impose minimal effects on perfusion calculation at field strengths equal to or lower than 3.0 T. Subsequently, we proposed various approaches for in vivo estimation or calibration of the above parameters, such as the use of phase-contrast magnetic resonance imaging for calibration of the labeling efficiency as well as the use of inversion recovery TrueFISP (true fast imaging with steady-state precession) sequence for blood T1 mapping. We also list representative clinical cases in which implicit assumptions for ASL perfusion quantification may be violated, such as the venous outflow effect in children with sickle cell disease. Finally, an optimal imaging protocol including in vivo measurements of several critical parameters was recommended for clinical ASL studies.