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

doi:10.1038/s41597-022-01571-4

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

Spinoza Centre for Neuroimaging

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

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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.

Original language	English
Pages (from-to)	517
Journal	Scientific data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01571-4
Publication status	Published - 24 Aug 2022

Keywords

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

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Karakuzu, A., Appelhoff, S., Auer, T., Boudreau, M., Feingold, F., Khan, A. R., Lazari, A., Markiewicz, C., Mulder, M., Phillips, C., Salo, T., Stikov, N., Whitaker, K., & de Hollander, G. (2022). qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data. Scientific data, 9(1), 517. https://doi.org/10.1038/s41597-022-01571-4

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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.",

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author = "Agah Karakuzu and Stefan Appelhoff and Tibor Auer and Mathieu Boudreau and Franklin Feingold and Khan, {Ali R} and Alberto Lazari and Chris Markiewicz and Martijn Mulder and Christophe Phillips and Taylor Salo and Nikola Stikov and Kirstie Whitaker and {de Hollander}, Gilles",

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Karakuzu, A, Appelhoff, S, Auer, T, Boudreau, M, Feingold, F, Khan, AR, Lazari, A, Markiewicz, C, Mulder, M, Phillips, C, Salo, T, Stikov, N, Whitaker, K & de Hollander, G 2022, 'qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data', Scientific data, vol. 9, no. 1, pp. 517. https://doi.org/10.1038/s41597-022-01571-4

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T2 - An extension to the brain imaging data structure for quantitative magnetic resonance imaging data

AU - Karakuzu, Agah

AU - Appelhoff, Stefan

AU - Auer, Tibor

AU - Boudreau, Mathieu

AU - Feingold, Franklin

AU - Khan, Ali R

AU - Lazari, Alberto

AU - Markiewicz, Chris

AU - Mulder, Martijn

AU - Phillips, Christophe

AU - Salo, Taylor

AU - Stikov, Nikola

AU - Whitaker, Kirstie

AU - de Hollander, Gilles

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N2 - 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.

AB - 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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VL - 9

SP - 517

JO - Scientific data

JF - Scientific data

IS - 1

ER -

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

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Keywords

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