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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; Boudreau, Mathieu; Feingold, Franklin; Khan, Ali R; Lazari, Alberto; Markiewicz, Chris; Mulder, Martijn; Phillips, Christophe; Salo, Taylor; Stikov, Nikola; Whitaker, Kirstie; de Hollander, Gilles.
Afiliação
  • Karakuzu A; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada. agahkarakuzu@gmail.com.
  • Appelhoff S; Montreal Heart Institute, Montreal, QC, Canada. agahkarakuzu@gmail.com.
  • Auer T; Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
  • Boudreau M; NeuroModulation Lab, School of Psychology, University of Surrey, Guildford, UK.
  • Feingold F; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada.
  • Khan AR; Montreal Heart Institute, Montreal, QC, Canada.
  • Lazari A; Stanford University, Stanford, CA, USA.
  • Markiewicz C; Department of Medical Biophysics, Robarts Research Institute, University of Western Ontario, London, Canada.
  • Mulder M; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Phillips C; Stanford University, Stanford, CA, USA.
  • Salo T; Department of Experimental Psychology, Utrecht University, Utrecht, the Netherlands.
  • Stikov N; GIGA Cyclotron Research Centre in vivo imaging, GIGA Institute, University of Liège, Liège, Belgium.
  • Whitaker K; Florida International University, Miami, FL, USA.
  • de Hollander G; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montréal, QC, Canada.
Sci Data ; 9(1): 517, 2022 08 24.
Article em En | MEDLINE | ID: mdl-36002444
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá