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

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

Research output: Contribution to journal/periodicalArticleScientificpeer-review

1 Citation (Scopus)
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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.

Original languageEnglish
Pages (from-to)517
JournalScientific data
Issue number1
Publication statusPublished - 24 Aug 2022


  • 4-Acetamido-4'-isothiocyanatostilbene-2,2'-disulfonic Acid/analogs & derivatives
  • Biomarkers
  • Brain/diagnostic imaging
  • Magnetic Resonance Imaging/methods
  • Neuroimaging/methods


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