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

Author

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 A. 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

Subjects
Science
Abstract

Measurement(s) spinal cord Technology Type(s) magnetic resonance imaging Factor Type(s) manufacturer • site Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Canada • Switzerland • Australia • United States of America • United Kingdom • Germany • French Republic • Czech Republic • Italy • Japan • Kingdom of Spain • China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14052269

Published
2021
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2. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Author

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 A. 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

Subjects
Science
Published
2021
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3. Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Author

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

Subjects
Adult, Male, Statistics and Probability, Data descriptor, Science, MEDLINE, Spinal cord diseases, Neuroimaging, Spinal Cord Diseases, Imaging techniques, Library and Information Sciences, GeneralLiterature_MISCELLANEOUS, Education, Databases, Text mining, Image Processing, Computer-Assisted, Humans, Medicine, Author Correction, Reproducibility, business.industry, MT protocol, Reproducibility of Results, Spinal cord, Magnetic Resonance Imaging, Computer Science Applications, medicine.anatomical_structure, Spinal Cord, Female, Statistics, Probability and Uncertainty, business, Cartography, Information Systems
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.

Published
2021

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