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  • 标题:qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data
  • 本地全文:下载
  • 作者:agah Karakuzu ; Stefan appelhof ; Tibor auer
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-9
  • DOI:10.1038/s41597-022-01571-4
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 ofers a common ground for developers to exchange novel imaging data and tools, reducing the entrance barrier for qMRI in the feld of neuroimaging .
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