4.7 Article

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

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01571-4

Keywords

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Funding

  1. Wellcome Trust [109062/Z/15/Z]
  2. Biotechnology and Biological Sciences Research Council [BB/S008314/1]
  3. F.R.S.-FNRS, Belgium
  4. Rubicon grant from the Dutch Research Council (NWO)
  5. Canada First Research Excellence Fund through the TransMedTech Institute, Canadian Open Neuroscience Platform (CONP)
  6. International Society for Magnetic Resonance in Medicine (ISMRM)
  7. Wellcome Trust [109062/Z/15/Z] Funding Source: Wellcome Trust

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The introduction of BIDS Extension Proposal 001 (BEP001) provides guidance for the storage of multimodal structural MRI datasets, promotes standardization of qMRI, and facilitates convergence between qMRI methods and application-driven neuroimaging studies.
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.

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