ASL-BIDS, the brain imaging data structure extension for arterial spin labeling

BIDS maintainers, Patricia Clement, Marco Castellaro, Thomas W Okell, David L Thomas, Pieter Vandemaele, Sara Elgayar, Aaron Oliver-Taylor, Thomas Kirk, Joseph G Woods, Sjoerd B Vos, Joost P A Kuijer, Eric Achten, Matthias J P van Osch, John A Detre, Hanzhang Lu, David C Alsop, Michael A Chappell, Luis Hernandez-Garcia, Jan PetrHenk J M M Mutsaerts

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number543
Pages (from-to)543
Number of pages1
JournalScientific Data
Volume9
Issue number1
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

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