Journal article
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling
- Abstract:
- Arterial spin labeling (ASL) is a non-invasive MRI technique that allows for quantitative measurement of cerebral perfusion. Incomplete or inaccurate reporting of acquisition parameters complicates quantification, analysis, and sharing of ASL data, particularly for studies across multiple sites, platforms, and ASL methods. There is a strong need for standardization of ASL data storage, including acquisition metadata. Recently, ASL-BIDS, the BIDS extension for ASL, was developed and released in BIDS 1.5.0. This manuscript provides an overview of the development and design choices of this first ASL-BIDS extension, which is mainly aimed at clinical ASL applications. Discussed are the structure of the ASL data, focussing on storage order of the ASL time series and implementation of calibration approaches, unit scaling, ASL-related BIDS fields, and storage of the labeling plane information. Additionally, an overview of ASL-BIDS compatible conversion and ASL analysis software and ASL example datasets in BIDS format is provided. We anticipate that large-scale adoption of ASL-BIDS will improve the reproducibility of ASL research.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1038/s41597-022-01615-9
Authors
- Publisher:
- Springer Nature
- Journal:
- Scientific Data More from this journal
- Volume:
- 9
- Issue:
- 1
- Article number:
- 543
- Place of publication:
- England
- Publication date:
- 2022-09-06
- Acceptance date:
- 2022-08-05
- DOI:
- EISSN:
-
2052-4463
- ISSN:
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2052-4463
- Pmid:
-
36068231
- Language:
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English
- Keywords:
- Pubs id:
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1277816
- Local pid:
-
pubs:1277816
- Deposit date:
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2022-09-16
- ARK identifier:
Terms of use
- Copyright holder:
- Clement et al
- Copyright date:
- 2022
- Rights statement:
- © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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