Clement, Patricia;
Petr, Jan;
Dijsselhof, Mathijs BJ;
Padrela, Beatriz;
Pasternak, Maurice;
Dolui, Sudipto;
Jarutyte, Lina;
... Keil, Vera C; + view all
(2022)
A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing.
Frontiers in Radiology
, 2
, Article 929533. 10.3389/fradi.2022.929533.
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Abstract
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.
Type: | Article |
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Title: | A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing |
Location: | Switzerland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/fradi.2022.929533 |
Publisher version: | https://doi.org/10.3389/fradi.2022.929533 |
Language: | English |
Additional information: | © 2022 Clement, Petr, Dijsselhof, Padrela, Pasternak, Dolui, Jarutyte, Pinter, Hernandez-Garcia, Jahn, Kuijer, Barkhof, Mutsaerts and Keil. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | MRI, arterial spin labeling, cerebral blood flow, graphical user interface, image processing, perfusion, processing pipeline |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10174942 |
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