A Beginner's Guide to Arterial Spin Labeling (ASL) Image Processing Article Swipe
Patricia Clement
,
Jan Petr
,
Mathijs Dijsselhof
,
Beatriz Padrela
,
Maurice Pasternak
,
Sudipto Dolui
,
Lina Jarutytė
,
Nándor Pintér
,
Luis Hernández-García
,
Andrew Jahn
,
Joost P.A. Kuijer
,
Frederik Barkhof
,
Henk Mutsaerts
,
Vera C. Keil
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fradi.2022.929533
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fradi.2022.929533
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.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3389/fradi.2022.929533
- OA Status
- gold
- Cited By
- 41
- References
- 31
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4282830404Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fradi.2022.929533Digital Object Identifier
- Title
-
A Beginner's Guide to Arterial Spin Labeling (ASL) Image ProcessingWork title
- Type
-
reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-14Full publication date if available
- Authors
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Patricia Clement, Jan Petr, Mathijs Dijsselhof, Beatriz Padrela, Maurice Pasternak, Sudipto Dolui, Lina Jarutytė, Nándor Pintér, Luis Hernández-García, Andrew Jahn, Joost P.A. Kuijer, Frederik Barkhof, Henk Mutsaerts, Vera C. KeilList of authors in order
- Landing page
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https://doi.org/10.3389/fradi.2022.929533Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.3389/fradi.2022.929533Direct OA link when available
- Concepts
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Image processing, Arterial spin labeling, Computer science, Process (computing), Artificial intelligence, Data science, Image (mathematics), Medicine, Magnetic resonance imaging, Radiology, Programming languageTop concepts (fields/topics) attached by OpenAlex
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41Total citation count in OpenAlex
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2025: 20, 2024: 15, 2023: 4, 2022: 2Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2022-06-14 |
| publication_year | 2022 |
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