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

Autor: Clement, P, Castellaro, M, Okell, TW, Thomas, DL, Vandemaele, P, Elgayar, S, Oliver-Taylor, A, Kirk, T, Woods, JG, Vos, SB, Kuijer, JPA, Achten, E, van Osch, MJP, maintainers, BIDS, Detre, JA, Lu, H, Alsop, DC, Chappell, MA, Hernandez-Garcia, L, Petr, J, Mutsaerts, HJMM
Přispěvatelé: Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Statistics and Probability
Technology and Engineering
4-Acetamido-4'-isothiocyanatostilbene-2
2'-disulfonic Acid
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.
HCI)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Neuroimaging
Library and Information Sciences
Education
bepress|Life Sciences|Neuroscience and Neurobiology
Medicine and Health Sciences
Humans
DICOM
bepress|Life Sciences|Neuroscience and Neurobiology|Other Neuroscience and Neurobiology
ComputingMilieux_PERSONALCOMPUTING
Brain
Reproducibility of Results
QUANTIFICATION
Magnetic Resonance Imaging
Computer Science Applications
PsyArXiv|Neuroscience
PsyArXiv|Neuroscience|Other Neuroscience and Neurobiology
CEREBRAL-BLOOD-FLOW
ComputingMilieux_COMPUTERSANDSOCIETY
Spin Labels
Statistics
Probability and Uncertainty
Information Systems
MRI
Zdroj: SCIENTIFIC DATA
Scientific data, 9(1). Nature Publishing Group
Scientific Data, 9(1). NATURE PORTFOLIO
BIDS maintainers 2022, ' ASL-BIDS, the brain imaging data structure extension for arterial spin labeling ', Scientific data, vol. 9, no. 1, pp. 543 . https://doi.org/10.1038/s41597-022-01615-9
PsyArXiv: https://psyarxiv.com/e87y3/
Scientific Data 9(2022), 543
ISSN: 2052-4463
DOI: 10.1038/s41597-022-01615-9
Popis: 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.
Databáze: OpenAIRE
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