A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing.

Autor:	Clement P; Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium., Petr J; Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands., Dijsselhof MBJ; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands., Padrela B; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands., Pasternak M; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, OT, Canada., Dolui S; Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States., Jarutyte L; School of Psychological Science, University of Bristol, England, United Kingdom., Pinter N; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Dent Neurologic Institute, Buffalo, Amherst, NY, United States.; Department of Neurosurgery, University at Buffalo, Buffalo, NY, United States., Hernandez-Garcia L; fMRI Laboratory, Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States., Jahn A; fMRI Laboratory, Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States., Kuijer JPA; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands., Barkhof F; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands.; Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, United Kingdom., Mutsaerts HJMM; Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium.; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands.; Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London, United Kingdom., Keil VC; Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands.; Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, Netherlands.
Jazyk:	angličtina
Zdroj:	Frontiers in radiology [Front Radiol] 2022 Jun 14; Vol. 2, pp. 929533. Date of Electronic Publication: 2022 Jun 14 (Print Publication: 2022).
DOI:	10.3389/fradi.2022.929533
Abstrakt:	Arterial spin labeling (ASL) is a non-invasive and cost-effective MRI technique for brain perfusion measurements. While it has developed into a robust technique for scientific and clinical use, its image processing can still be daunting. The 2019 Ann Arbor ISMRM ASL working group established that education is one of the main areas that can accelerate the use of ASL in research and clinical practice. Specifically, the post-acquisition processing of ASL images and their preparation for region-of-interest or voxel-wise statistical analyses is a topic that has not yet received much educational attention. This educational review is aimed at those with an interest in ASL image processing and analysis. We provide summaries of all typical ASL processing steps on both single-subject and group levels. The readers are assumed to have a basic understanding of cerebral perfusion (patho) physiology; a basic level of programming or image analysis is not required. Starting with an introduction of the physiology and MRI technique behind ASL, and how they interact with the image processing, we present an overview of processing pipelines and explain the specific ASL processing steps. Example video and image illustrations of ASL studies of different cases, as well as model calculations, help the reader develop an understanding of which processing steps to check for their own analyses. Some of the educational content can be extrapolated to the processing of other MRI data. We anticipate that this educational review will help accelerate the application of ASL MRI for clinical brain research. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Clement, Petr, Dijsselhof, Padrela, Pasternak, Dolui, Jarutyte, Pinter, Hernandez-Garcia, Jahn, Kuijer, Barkhof, Mutsaerts and Keil.)
Databáze:	MEDLINE
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