Article (Scientific journals)
qMRI-BIDS: an extension to the brain imaging data structure for quantitative magnetic resonance imaging data
Karakuzu, Agah; Appelhoff, Stefan; Auer, Tibor et al.
2022In Scientific Data, 9 (517), p. 9
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Keywords :
Library and Information Sciences; Computer Science Applications; Information Systems; Neuroimaging; magnetic resonance imaging; MRI; quantitative MRI
Abstract :
[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
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
Salo, Taylor 
Stikov, Nikola
Whitaker, Kirstie 
Gilles De Hollander, ✉
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Language :
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
Publisher :
Springer Science and Business Media LLC
Volume :
Issue :
Pages :
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Canada First Research Excellence Fund
International Society for Magnetic Resonance in Medicine
Canadian Open Neuroscience Platform
RCUK | Biotechnology and Biological Sciences Research Council
Wellcome Trust [GB]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Rubicon grant by Dutch Research Council
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