| Literature DB >> 36002444 |
Agah Karakuzu1,2, Stefan Appelhoff3, Tibor Auer4, Mathieu Boudreau5,6, Franklin Feingold7, Ali R Khan8, Alberto Lazari9, Chris Markiewicz7, Martijn Mulder10, Christophe Phillips11, Taylor Salo12, Nikola Stikov5,6,13, Kirstie Whitaker14, Gilles de Hollander15,16.
Abstract
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.Entities:
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Year: 2022 PMID： 36002444 PMCID： PMC9402561 DOI： 10.1038/s41597-022-01571-4
Source DB: PubMed Journal: Sci Data ISSN： 2052-4463 Impact factor: 8.501