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

[en] 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.

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others
Neurology

Author, co-author :

Karakuzu, Agah

Appelhoff, Stefan

Auer, Tibor

Boudreau, Mathieu

Feingold, Franklin

Khan, Ali

Lazari, Alberto

Markiewicz, Chris

Mulder, Martijn

Phillips, Christophe ; Université de Liège - ULiège > GIGA > GIGA CRC In vivo Imaging - Neuroimaging, data acquisition and processing

More authors (4 more)

Language :

English

Title :

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

Publication date :

24 August 2022

Journal title :

Scientific Data

eISSN :

2052-4463

Publisher :

Springer Science and Business Media LLC

Volume :

Issue :

517

Pages :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://www.nature.com/articles/s41597-022-01571-4.pdf

Funders :

CFREF - Canada First Research Excellence Fund
ISMRM - International Society for Magnetic Resonance in Medicine
CONP - Canadian Open Neuroscience Platform
BBSRC - Biotechnology and Biological Sciences Research Council
Wellcome Trust
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Dutch Research Council

Funding number :

Rubicon grant by Dutch Research Council

Available on ORBi :

since 29 August 2022

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