Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
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Published:2021-08-16
Issue:1
Volume:8
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Cohen-Adad JulienORCID, Alonso-Ortiz Eva, Abramovic Mihael, Arneitz Carina, Atcheson NicoleORCID, Barlow Laura, Barry Robert L., Barth MarkusORCID, Battiston Marco, Büchel ChristianORCID, Budde Matthew, Callot VirginieORCID, Combes Anna J. E., De Leener Benjamin, Descoteaux Maxime, de Sousa Paulo LoureiroORCID, Dostál MarekORCID, Doyon Julien, Dvorak AdamORCID, Eippert Falk, Epperson Karla R., Epperson Kevin S., Freund PatrickORCID, Finsterbusch Jürgen, Foias Alexandru, Fratini Michela, Fukunaga Issei, Gandini Wheeler-Kingshott Claudia A. M., Germani Giancarlo, Gilbert Guillaume, Giove FedericoORCID, Gros CharleyORCID, Grussu Francesco, Hagiwara Akifumi, Henry Pierre-Gilles, Horák Tomáš, Hori MasaakiORCID, Joers JamesORCID, Kamiya Kouhei, Karbasforoushan HalehORCID, Keřkovský Miloš, Khatibi AliORCID, Kim Joo-Won, Kinany Nawal, Kitzler Hagen H.ORCID, Kolind Shannon, Kong YazhuoORCID, Kudlička PetrORCID, Kuntke Paul, Kurniawan Nyoman D.ORCID, Kusmia Slawomir, Labounek RenéORCID, Laganà Maria MarcellaORCID, Laule Cornelia, Law Christine S.ORCID, Lenglet ChristopheORCID, Leutritz TobiasORCID, Liu Yaou, Llufriu Sara, Mackey Sean, Martinez-Heras EloyORCID, Mattera Loan, Nestrasil IgorORCID, O’Grady Kristin P.ORCID, Papinutto Nico, Papp Daniel, Pareto Deborah, Parrish Todd B., Pichiecchio Anna, Prados FerranORCID, Rovira Àlex, Ruitenberg Marc J.ORCID, Samson Rebecca S., Savini GiovanniORCID, Seif Maryam, Seifert Alan C., Smith Alex K., Smith Seth A., Smith Zachary A., Solana Elisabeth, Suzuki Y., Tackley GeorgeORCID, Tinnermann Alexandra, Valošek JanORCID, Van De Ville DimitriORCID, Yiannakas Marios C., Weber II Kenneth A.ORCID, Weiskopf NikolausORCID, Wise Richard G., Wyss Patrik O., Xu Junqian
Abstract
AbstractIn a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This protocol was used to acquire a single subject dataset across 19 centers and a multi-subject dataset across 42 centers (for a total of 260 participants), spanning the three main MRI manufacturers: GE, Philips and Siemens. Both datasets are publicly available via git-annex. Data were analysed using the Spinal Cord Toolbox to produce normative values as well as inter/intra-site and inter/intra-manufacturer statistics. Reproducibility for the spine generic protocol was high across sites and manufacturers, with an average inter-site coefficient of variation of less than 5% for all the metrics. Full documentation and results can be found at https://spine-generic.rtfd.io/. The datasets and analysis pipeline will help pave the way towards accessible and reproducible quantitative MRI in the spinal cord.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference37 articles.
1. Cercignani, M., Dowell, N. G. & Tofts, P. S. Quantitative MRI of the Brain: Principles of Physical Measurement, Second edition. (CRC Press, 2018). 2. Cohen-Adad, J. & Wheeler-Kingshott, C. Quantitative MRI of the Spinal Cord. (2014). 3. Wheeler-Kingshott, C. A. et al. The current state-of-the-art of spinal cord imaging: applications. Neuroimage 84, 1082–1093 (2014). 4. Stroman, P. W. et al. The current state-of-the-art of spinal cord imaging: methods. Neuroimage 84, 1070–1081 (2014). 5. Cohen-Adad, J. et al. Generic acquisition protocol for quantitative MRI of the spinal cord. Nature Protocols https://doi.org/10.1038/s41596-021-00588-0 (2021).
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