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qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data

Authors :
Agah Karakuzu
Stefan Appelhoff
Tibor Auer
Mathieu Boudreau
Franklin Feingold
Ali R. Khan
Alberto Lazari
Chris Markiewicz
Martijn Mulder
Christophe Phillips
Taylor Salo
Nikola Stikov
Kirstie Whitaker
Gilles de Hollander
Source :
Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract The Brain Imaging Data Structure (BIDS) established community consensus on the organization of data and metadata for several neuroimaging modalities. Traditionally, BIDS had a strong focus on functional magnetic resonance imaging (MRI) datasets and lacked guidance on how to store multimodal structural MRI datasets. Here, we present and describe the BIDS Extension Proposal 001 (BEP001), which adds a range of quantitative MRI (qMRI) applications to the BIDS. In general, the aim of qMRI is to characterize brain microstructure by quantifying the physical MR parameters of the tissue via computational, biophysical models. By proposing this new standard, we envision standardization of qMRI through multicenter dissemination of interoperable datasets. This way, BIDS can act as a catalyst of convergence between qMRI methods development and application-driven neuroimaging studies that can help develop quantitative biomarkers for neural tissue characterization. In conclusion, this BIDS extension offers a common ground for developers to exchange novel imaging data and tools, reducing the entrance barrier for qMRI in the field of neuroimaging.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.f384ee16cf04efa9bd9f9af834616d0
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-022-01571-4