Year: 2022
Type: article
Abstract: This review article provides an overview of a range of recent technical developments in advanced arterial spin labeling (ASL) methods that have been developed or adopted by the community since the publication of a previous ASL consensus paper by Alsop et al. It is part of a series of review/recommendation papers from the International Society for Magnetic Resonance in Medicine Perfusion Study Group. Here, we focus on advancements in readouts and trajectories, image reconstruction, noise reduction, partial volume correction, quantification of nonperfusion parameters, fMRI, fingerprinting, vessel selective ASL, angiography, deep learning, and ultrahigh field ASL. We aim to provide a high level of understanding of these new approaches and some guidance for their implementation, with the goal of facilitating the adoption of such advances by research groups and by MRI vendors. Topics outside the scope of this article that are reviewed at length in separate articles include velocity selective ASL, multiple-timepoint ASL, body ASL, and clinical ASL recommendations.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.29381
Authors: Luis Hernandez‐Garcia, Verónica Aramendía‐Vidaurreta, Divya S. Bolar, Weiying Dai, Maria A. Fernández‐Seara, Jia Guo, Ananth J. Madhuranthakam, Henk Mutsaerts, Jan Petr, Qin Qin, Jonas Schollenberger, Yuriko Suzuki, Manuel Taso, David L. Thomas, Matthias J. P. van Osch, Joseph Woods, Moss Y. Zhao, Lirong Yan, Ze Wang, Li Zhao, Thomas W. Okell
Institutions: University of Michigan, Michigan Medicine, Clinica Universidad de Navarra, Universidad de Navarra, University of California San Diego, Binghamton University, University of California, Riverside, The University of Texas Southwestern Medical Center, Amsterdam Neuroscience, Amsterdam University Medical Centers, Helmholtz-Zentrum Dresden-Rossendorf, Johns Hopkins University, University of Oxford, Wellcome Centre for Integrative Neuroimaging, Beth Israel Deaconess Medical Center, Harvard University, UCL Queen Square Institute of Neurology, University College London, Leiden University Medical Center, University of California System, Stanford Medicine, Stanford University, Northwestern University, University of Maryland, Baltimore, Zhejiang University
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, Wellcome Trust, EU Joint Programme – Neurodegenerative Disease Research, Rijksdienst voor Ondernemend Nederland, National Institute for Health and Care Research, European Commission, ZonMw, Hartstichting, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, University College London Hospitals NHS Foundation Trust, Alzheimer Nederland, National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, Eurostars
Awards: G1109816353, Novel Ultrasonic Technique for the Treatment of Hemorrhagic Stroke, G1531308048, Wellcome Centre for Integrative Neuroimaging, G2373700035, G2635519000, Quantitative MR Imaging of Vascular Factors in Parkinsons Disease, G3675778318, G434337789, G4590856093, G5219700674, Highly sensitive brain blood flow measurements using ultra-high field magnetic resonance imaging, G5434931977, Development of Layer Specific FMRI for Clinical Scanners, G6535430462, Ultra-fast cerebral blood flow imaging for quantifying brain dynamics, G7370103325, Wellcome Centre for Integrative Neuroimaging, G7868402493, Clinical Translation of a Non-invasive Brain Stress Test to Predict Stroke, G8418211029, G9000090687, G9000315177, Novel Ultrasonic Technique for the Treatment of Hemorrhagic Stroke
OpenAlex ID: W4292296635