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Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Julien Cohen-Adad, Eva Alonso Ortiz, Mihael Abramovic, Carina Arneitz, Nicole Atcheson, Laura Barlow, Robert L. Barry, Markus Barth, Marco Battiston, Christian Büchel, Matthew Budde, Virginie Callot, Anna J. E. Combes, Benjamin De Leener, Maxime Descoteaux, Paulo Loureiro de Sousa, Marek Dostál, Julien Doyon, Adam Dvorak, Falk Eippert, Karla R. Epperson, Kevin S. Epperson, Patrick Freund, Jürgen Finsterbusch, Alexandru Foias, Michela Fratini, Issei Fukunaga, Claudia Angela M. Gandini Wheeler-Kingshott, Giancarlo Germani, Guillaume Gilbert, Federico Giove, Charley Gros, Francesco Grussu, Akifumi Hagiwara, Pierre-Gilles Henry, Tomáš Horák, Masaaki Hori, James Joers, Kouhei Kamiya, Haleh Karbasforoushan, Miloš Keřkovský, Ali Khatibi, Joo-Won Kim, Nawal Kinany, Hagen H. Kitzler, Shannon Kolind, Yazhuo Kong, Petr Kudlička, Paul Kuntke, Nyoman D. Kurniawan, Slawomir Kusmia, René Labounek, Maria Marcella Laganà, Cornelia Laule, Christine S. Law, Christophe Lenglet, Tobias Leutritz, Yaou Liu, Sara Llufriu, Sean Mackey, Eloy Martinez-Heras, Loan Mattera, Igor Nestrasil, Kristin P. O’Grady, Nico Papinutto, Daniel Papp, Deborah Pareto, Todd B. Parrish, Anna Pichiecchio, Ferran Prados, Àlex Rovira, Marc J. Ruitenberg, Rebecca S. Samson, Giovanni Savini, Maryam Seif, Alan C. Seifert, Alex K. Smith, Seth A. Smith, Zachary A. Smith, Elisabeth Solana, Y. Suzuki, George Tackley, Alexandra Tinnermann, Jan Valošek, Dimitri Van De Ville, Marios C. Yiannakas, Kenneth A. Weber II, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss and Junqian Xu

Article (2021)

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Abstract

In 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.

Uncontrolled Keywords

Databases; Imaging techniques; Spinal cord diseases

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
1900 Biomedical engineering > 1901 Biomedical technology
2700 Information technology > 2706 Software engineering
Department: Department of Electrical Engineering
Department of Computer Engineering and Software Engineering
Institut de génie biomédical
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
Funders: CRSNG/NSERC, Canada Research Chair in Quantitative Magnetic Resonance Imaging, Canadian Institute of Health Research, Canada Foundation for Innovation, Fonds de Recherche du Québec - Santé, Fonds de Recherche du Québec - Nature et Technologies, Canada First Research Excellence Fund (IVADO and TransMedTech), Quebec BioImaging Network, Spinal Research (UK), Wings for Life (Austria), Craig H. Neilsen Foundation (USA) for the INSPIRED project, National Institutes of Health (NIH), the Instituto Investigación Carlos III (Spain), Czech Health Research Council, Ministry of Health, Czech Republic - conceptual development of research organization, National Imaging Facility and Queensland NMR Network, SpinalCure Australia, European Union’s Seventh Framework Programme - European Research Council (FP7/2007–2013), Max Planck Society, European Research Council, European Union’s Horizon 2020 research and innovation programme, Swiss State Secretariat for Education, Research and Innovation (SERI), ERA-NET NEURON - BMBF, Engineering and Physical Sciences Research Council, Rosetrees Trust (UK), UK Multiple Sclerosis Society, NIHR Biomedical Research Centres, UCLH, Italian Ministry of Health Young Researcher Grant 2013, FISR Project “Tecnopolo di nanotecnologia e fotonica per la medicina di precisione”(funded by MIUR/CNR), TECNOMED project (funded by Regione Puglia), Million Dollar Bike Ride from the University of Pennsylvania, investigator-initiated PREdICT study at the Vall d’Hebron Institute of Oncology (Barcelona) funded by AstraZeneca and CRIS Cancer Foundation, the Wellcome Trust (UK), Systems, Technologies and Applications for Radiofrequency and Communications (STARaCOM), Swiss National Science Foundation
Grant number: 435897-2013, 950-230815, CIHR FDN-143263, 32454, 34824, 28826, 2015-PR-182754, 5886, 169111, R00EB016689, R01EB027779, PI18/00823, NV18-04-00159, 65269705, 616905, ERC StG 758974, 681094, 15.0137, 01EW1711A & B, 634541, R006032/1, M020533/1, 892/08, 77/2017, GR-2013-02358177, CUP B83B17000010001, CUP B84I18000540002, MDBR-17-123-MPS, 203139/Z/16/Z, PCEFP3_181362/1
PolyPublie URL: https://publications.polymtl.ca/9286/
Journal Title: Scientific Data (vol. 8, no. 1)
Publisher: Springer Nature
DOI: 10.1038/s41597-021-00941-8
Official URL: https://doi.org/10.1038/s41597-021-00941-8
Date Deposited: 05 Dec 2022 17:14
Last Modified: 28 Feb 2024 11:20
Cite in APA 7: Cohen-Adad, J., Alonso Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M., Callot, V., Combes, A. J. E., De Leener, B., Descoteaux, M., de Sousa, P. L., Dostál, M., Doyon, J., Dvorak, A., ... Xu, J. (2021). Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers. Scientific Data, 8(1), 219 (17 pages). https://doi.org/10.1038/s41597-021-00941-8

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