Velocity‐selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation
Year: 2022
Type: review
Abstract: This review article provides an overview of the current status of velocity-selective arterial spin labeling (VSASL) perfusion MRI and is part of a wider effort arising from the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group. Since publication of the 2015 consensus paper on arterial spin labeling (ASL) for cerebral perfusion imaging, important advancements have been made in the field. The ASL community has, therefore, decided to provide an extended perspective on various aspects of technical development and application. Because VSASL has the potential to become a principal ASL method because of its unique advantages over traditional approaches, an in-depth discussion was warranted. VSASL labels blood based on its velocity and creates a magnetic bolus immediately proximal to the microvasculature within the imaging volume. VSASL is, therefore, insensitive to transit delay effects, in contrast to spatially selective pulsed and (pseudo-) continuous ASL approaches. Recent technical developments have improved the robustness and the labeling efficiency of VSASL, making it a potentially more favorable ASL approach in a wide range of applications where transit delay effects are of concern. In this review article, we (1) describe the concepts and theoretical basis of VSASL; (2) describe different variants of VSASL and their implementation; (3) provide recommended parameters and practices for clinical adoption; (4) describe challenges in developing and implementing VSASL; and (5) describe its current applications. As VSASL continues to undergo rapid development, the focus of this review is to summarize the fundamental concepts of VSASL, describe existing VSASL techniques and applications, and provide recommendations to help the clinical community adopt VSASL.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.29371
Authors: Qin Qin, David C. Alsop, Divya S. Bolar, Luis Hernandez‐Garcia, James Meakin, Dapeng Liu, Krishna S. Nayak, Sophie Schmid, Matthias J. P. van Osch, Eric C. Wong, Joseph G. Woods, Greg Zaharchuk, Moss Y. Zhao, Zungho Zun, Jia Guo, the ISMRMPerfusion Study Group
Institutions: Johns Hopkins University, Johns Hopkins Medicine, Beth Israel Deaconess Medical Center, Harvard University, University of California San Diego, University of Michigan, Michigan Medicine, Radboud University Medical Center, University of Southern California, Leiden University Medical Center, Stanford Medicine, Stanford University, Weill Cornell Medicine, University of California, Riverside
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
Funders: American Heart Association, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G1109816353, Cerebrovascular Reserve Imaging with Simultaneous PET/MRI Using Arterial Spin Labeling and Deep Learning, Assessment of placental perfusion and oxygenation using novel MRI approaches, Quantitative MR Imaging of Vascular Factors in Parkinsons Disease, Non-Contrast-Enhanced Velocity-Selective MR Angiography at 3T for Cerebrovascular Diseases, Velocity-Selective Arterial Spin Labeling based Perfusion Mapping for Cerebrovascular Diseases, G5520316217, Intellectual and Developmental Disabilities Research Center, Novel Myocardial Perfusion Stress Test using Arterial Spin Labeling, Ultra-fast cerebral blood flow imaging for quantifying brain dynamics, G8245670873, Clinical Translation of a Non-invasive Brain Stress Test to Predict Stroke, Clinical and Translational Science Award, Clinical and Translational Science Center, MRI Resource for Physiologic, Metabolic and Anatomic Biomarkers
OpenAlex ID: W4285077422