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qMRI-BIDS: an extension to the brain imaging data structure for quantitative magnetic resonance imaging data
Karakuzu, Agah; Appelhoff, Stefan; Auer, Tibor et al.
2021
 

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Keywords :
MRI; quantitative MRI; data structure
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 which makes multicenter dissemination of interoperable data possible. As a result, 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. Finally, our BIDS extension offers a common ground for developers to exchange novel imaging data and tools, reducing the practical barriers to standardization that is currently lacking 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 R.
Lazari, Alberto
Markiewicz, Chris
Mulder, Martijn
Phillips, Christophe  ;  Université de Liège - ULiège > GIGA CRC In vivo Im. - Neuroimaging, data acquisi. & proces.
Salo, Taylor
Stikov, Nikola
Whitaker, Kirstie
de Hollander, Gilles
More authors (4 more) Less
Language :
English
Title :
qMRI-BIDS: an extension to the brain imaging data structure for quantitative magnetic resonance imaging data
Publication date :
26 October 2021
Available on ORBi :
since 27 October 2021

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