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 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; Nikolaus Weiskopf; Richard G. Wise; Patrik O. Wyss; Junqian Xu

doi:10.1038/s41597-021-00941-8

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 EippertKarla 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, Nikolaus Weiskopf, Richard G. Wise, Patrik O. Wyss, Junqian Xu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

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.

Original language	English (US)
Article number	219
Journal	Scientific Data
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41597-021-00941-8
State	Published - Dec 2021

Funding

We thank Gerald Moran and Bart Schraa (Siemens Healthcare), Suchandrima Banerjee and Naoyuki Takei (GE Healthcare) for sharing proprietary information and helping with setting up manufacturer-specific protocols, Nicholas Guenther and Alexandru Jora for setting up the git-annex server and procedure for hosting the public database, Charley Gros for helping with the analysis script, Paul Bautin for helping with manual corrections, Noémie Roberge for helping with the interactive plots, Carollyn Hurst, André Cyr, Arnaud Boré and Pierre Bellec (Functional Neuroimaging Unit), Charles Tremblay (Polytechnique Montreal), Antonys Melek and Habib Benali (PERFORM center, Concordia University), Ives Levesque (McGill University), Carol Lien (University of Minnesota) for helping with data acquisitions, Compute Ontario (https://computeontario.ca/) and Compute Canada (www.computecanada.ca) for providing the supercomputer infrastructure and all the volunteers who participated in the Spinal Cord MRI Public Database. This work was funded by the Canada Research Chair in Quantitative Magnetic Resonance Imaging [950-230815], the Canadian Institute of Health Research [CIHR FDN-143263], the Canada Foundation for Innovation [32454, 34824], the Fonds de Recherche du Québec - Santé [28826], the Fonds de Recherche du Québec - Nature et Technologies [2015-PR-182754], the Natural Sciences and Engineering Research Council of Canada [435897-2013], the Canada First Research Excellence Fund (IVADO and TransMedTech), the Quebec BioImaging Network [5886], Spinal Research (UK), Wings for Life (Austria, #169111) and Craig H. Neilsen Foundation (USA) for the INSPIRED project, the National Institutes of Health (NIH) through grants R00EB016689 and R01EB027779 (R.L.B.), the Instituto Investigación Carlos III (Spain, PI18/00823), the Czech Health Research Council grant n. NV18-04-00159, the Ministry of Health, Czech Republic - conceptual development of research organization (FNBr, 65269705), the National Imaging Facility and Queensland NMR Network (UQ), and SpinalCure Australia (M.J.R.), the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement n° 616905; Max Planck Society and European Research Council (ERC StG 758974); European Union’s Horizon 2020 research and innovation programme under the grant agreement No 681094, and the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0137; BMBF (01EW1711A & B) in the framework of ERA-NET NEURON, the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634541, the Engineering and Physical Sciences Research Council (R006032/1, M020533/1) and Rosetrees Trust (UK), UK Multiple Sclerosis Society (892/08, 77/2017), NIHR Biomedical Research Centres, UCLH, the Italian Ministry of Health Young Researcher Grant 2013 (GR-2013-02358177), the FISR Project “Tecnopolo di nanotecnologia e fotonica per la medicina di precisione”(funded by MIUR/CNR, CUP B83B17000010001), TECNOMED project (funded by Regione Puglia, CUP B84I18000540002), Million Dollar Bike Ride from the University of Pennsylvania (MDBR-17-123-MPS), investigator-initiated PREdICT study at the Vall d’Hebron Institute of Oncology (Barcelona) funded by AstraZeneca and CRIS Cancer Foundation, the Wellcome Trust (UK) (203139/Z/16/Z), Systems, Technologies and Applications for Radiofrequency and Communications (STARaCOM) and Swiss National Science Foundation (PCEFP3_181362/1). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

Access to Document

10.1038/s41597-021-00941-8

Cite this

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), Article 219. https://doi.org/10.1038/s41597-021-00941-8

@article{21f13da3cc8d4fbfa6cf686d12d7e94a,

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

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.",

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

note = "Funding Information: We thank Gerald Moran and Bart Schraa (Siemens Healthcare), Suchandrima Banerjee and Naoyuki Takei (GE Healthcare) for sharing proprietary information and helping with setting up manufacturer-specific protocols, Nicholas Guenther and Alexandru Jora for setting up the git-annex server and procedure for hosting the public database, Charley Gros for helping with the analysis script, Paul Bautin for helping with manual corrections, No{\'e}mie Roberge for helping with the interactive plots, Carollyn Hurst, Andr{\'e} Cyr, Arnaud Bor{\'e} and Pierre Bellec (Functional Neuroimaging Unit), Charles Tremblay (Polytechnique Montreal), Antonys Melek and Habib Benali (PERFORM center, Concordia University), Ives Levesque (McGill University), Carol Lien (University of Minnesota) for helping with data acquisitions, Compute Ontario (https://computeontario.ca/) and Compute Canada (www.computecanada.ca) for providing the supercomputer infrastructure and all the volunteers who participated in the Spinal Cord MRI Public Database. This work was funded by the Canada Research Chair in Quantitative Magnetic Resonance Imaging [950-230815], the Canadian Institute of Health Research [CIHR FDN-143263], the Canada Foundation for Innovation [32454, 34824], the Fonds de Recherche du Qu{\'e}bec - Sant{\'e} [28826], the Fonds de Recherche du Qu{\'e}bec - Nature et Technologies [2015-PR-182754], the Natural Sciences and Engineering Research Council of Canada [435897-2013], the Canada First Research Excellence Fund (IVADO and TransMedTech), the Quebec BioImaging Network [5886], Spinal Research (UK), Wings for Life (Austria, #169111) and Craig H. Neilsen Foundation (USA) for the INSPIRED project, the National Institutes of Health (NIH) through grants R00EB016689 and R01EB027779 (R.L.B.), the Instituto Investigaci{\'o}n Carlos III (Spain, PI18/00823), the Czech Health Research Council grant n. NV18-04-00159, the Ministry of Health, Czech Republic - conceptual development of research organization (FNBr, 65269705), the National Imaging Facility and Queensland NMR Network (UQ), and SpinalCure Australia (M.J.R.), the European Research Council under the European Union{\textquoteright}s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement n° 616905; Max Planck Society and European Research Council (ERC StG 758974); European Union{\textquoteright}s Horizon 2020 research and innovation programme under the grant agreement No 681094, and the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0137; BMBF (01EW1711A & B) in the framework of ERA-NET NEURON, the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No. 634541, the Engineering and Physical Sciences Research Council (R006032/1, M020533/1) and Rosetrees Trust (UK), UK Multiple Sclerosis Society (892/08, 77/2017), NIHR Biomedical Research Centres, UCLH, the Italian Ministry of Health Young Researcher Grant 2013 (GR-2013-02358177), the FISR Project “Tecnopolo di nanotecnologia e fotonica per la medicina di precisione”(funded by MIUR/CNR, CUP B83B17000010001), TECNOMED project (funded by Regione Puglia, CUP B84I18000540002), Million Dollar Bike Ride from the University of Pennsylvania (MDBR-17-123-MPS), investigator-initiated PREdICT study at the Vall d{\textquoteright}Hebron Institute of Oncology (Barcelona) funded by AstraZeneca and CRIS Cancer Foundation, the Wellcome Trust (UK) (203139/Z/16/Z), Systems, Technologies and Applications for Radiofrequency and Communications (STARaCOM) and Swiss National Science Foundation (PCEFP3_181362/1). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = dec,

doi = "10.1038/s41597-021-00941-8",

language = "English (US)",

volume = "8",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

}

Cohen-Adad, J, Alonso-Ortiz, E, Abramovic, M, Arneitz, C, Atcheson, N, Barlow, L, Barry, RL, Barth, M, Battiston, M, Büchel, C, Budde, M, Callot, V, Combes, AJE, De Leener, B, Descoteaux, M, de Sousa, PL, Dostál, M, Doyon, J, Dvorak, A, Eippert, F, Epperson, KR, Epperson, KS, Freund, P, Finsterbusch, J, Foias, A, Fratini, M, Fukunaga, I, Gandini Wheeler-Kingshott, CAM, Germani, G, Gilbert, G, Giove, F, Gros, C, Grussu, F, Hagiwara, A, Henry, PG, Horák, T, Hori, M, Joers, J, Kamiya, K, Karbasforoushan, H, Keřkovský, M, Khatibi, A, Kim, JW, Kinany, N, Kitzler, HH, Kolind, S, Kong, Y, Kudlička, P, Kuntke, P, Kurniawan, ND, Kusmia, S, Labounek, R, Laganà, MM, Laule, C, Law, CS, Lenglet, C, Leutritz, T, Liu, Y, Llufriu, S, Mackey, S, Martinez-Heras, E, Mattera, L, Nestrasil, I, O’Grady, KP, Papinutto, N, Papp, D, Pareto, D, Parrish, TB, Pichiecchio, A, Prados, F, Rovira, À, Ruitenberg, MJ, Samson, RS, Savini, G, Seif, M, Seifert, AC, Smith, AK, Smith, SA, Smith, ZA, Solana, E, Suzuki, Y, Tackley, G, Tinnermann, A, Valošek, J, Van De Ville, D, Yiannakas, MC, Weber, KA, Weiskopf, N, Wise, RG, Wyss, PO & Xu, J 2021, 'Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers', Scientific Data, vol. 8, no. 1, 219. https://doi.org/10.1038/s41597-021-00941-8

TY - JOUR

T1 - Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

AU - Cohen-Adad, Julien

AU - Alonso-Ortiz, Eva

AU - Abramovic, Mihael

AU - Arneitz, Carina

AU - Atcheson, Nicole

AU - Barlow, Laura

AU - Barry, Robert L.

AU - Barth, Markus

AU - Battiston, Marco

AU - Büchel, Christian

AU - Budde, Matthew

AU - Callot, Virginie

AU - Combes, Anna J.E.

AU - De Leener, Benjamin

AU - Descoteaux, Maxime

AU - de Sousa, Paulo Loureiro

AU - Dostál, Marek

AU - Doyon, Julien

AU - Dvorak, Adam

AU - Eippert, Falk

AU - Epperson, Karla R.

AU - Epperson, Kevin S.

AU - Freund, Patrick

AU - Finsterbusch, Jürgen

AU - Foias, Alexandru

AU - Fratini, Michela

AU - Fukunaga, Issei

AU - Gandini Wheeler-Kingshott, Claudia A.M.

AU - Germani, Giancarlo

AU - Gilbert, Guillaume

AU - Giove, Federico

AU - Gros, Charley

AU - Grussu, Francesco

AU - Hagiwara, Akifumi

AU - Henry, Pierre Gilles

AU - Horák, Tomáš

AU - Hori, Masaaki

AU - Joers, James

AU - Kamiya, Kouhei

AU - Karbasforoushan, Haleh

AU - Keřkovský, Miloš

AU - Khatibi, Ali

AU - Kim, Joo Won

AU - Kinany, Nawal

AU - Kitzler, Hagen H.

AU - Kolind, Shannon

AU - Kong, Yazhuo

AU - Kudlička, Petr

AU - Kuntke, Paul

AU - Kurniawan, Nyoman D.

AU - Kusmia, Slawomir

AU - Labounek, René

AU - Laganà, Maria Marcella

AU - Laule, Cornelia

AU - Law, Christine S.

AU - Lenglet, Christophe

AU - Leutritz, Tobias

AU - Liu, Yaou

AU - Llufriu, Sara

AU - Mackey, Sean

AU - Martinez-Heras, Eloy

AU - Mattera, Loan

AU - Nestrasil, Igor

AU - O’Grady, Kristin P.

AU - Papinutto, Nico

AU - Papp, Daniel

AU - Pareto, Deborah

AU - Parrish, Todd B.

AU - Pichiecchio, Anna

AU - Prados, Ferran

AU - Rovira, Àlex

AU - Ruitenberg, Marc J.

AU - Samson, Rebecca S.

AU - Savini, Giovanni

AU - Seif, Maryam

AU - Seifert, Alan C.

AU - Smith, Alex K.

AU - Smith, Seth A.

AU - Smith, Zachary A.

AU - Solana, Elisabeth

AU - Suzuki, Y.

AU - Tackley, George

AU - Tinnermann, Alexandra

AU - Valošek, Jan

AU - Van De Ville, Dimitri

AU - Yiannakas, Marios C.

AU - Weber, Kenneth A.

AU - Weiskopf, Nikolaus

AU - Wise, Richard G.

AU - Wyss, Patrik O.

AU - Xu, Junqian

N1 - Funding Information: We thank Gerald Moran and Bart Schraa (Siemens Healthcare), Suchandrima Banerjee and Naoyuki Takei (GE Healthcare) for sharing proprietary information and helping with setting up manufacturer-specific protocols, Nicholas Guenther and Alexandru Jora for setting up the git-annex server and procedure for hosting the public database, Charley Gros for helping with the analysis script, Paul Bautin for helping with manual corrections, Noémie Roberge for helping with the interactive plots, Carollyn Hurst, André Cyr, Arnaud Boré and Pierre Bellec (Functional Neuroimaging Unit), Charles Tremblay (Polytechnique Montreal), Antonys Melek and Habib Benali (PERFORM center, Concordia University), Ives Levesque (McGill University), Carol Lien (University of Minnesota) for helping with data acquisitions, Compute Ontario (https://computeontario.ca/) and Compute Canada (www.computecanada.ca) for providing the supercomputer infrastructure and all the volunteers who participated in the Spinal Cord MRI Public Database. This work was funded by the Canada Research Chair in Quantitative Magnetic Resonance Imaging [950-230815], the Canadian Institute of Health Research [CIHR FDN-143263], the Canada Foundation for Innovation [32454, 34824], the Fonds de Recherche du Québec - Santé [28826], the Fonds de Recherche du Québec - Nature et Technologies [2015-PR-182754], the Natural Sciences and Engineering Research Council of Canada [435897-2013], the Canada First Research Excellence Fund (IVADO and TransMedTech), the Quebec BioImaging Network [5886], Spinal Research (UK), Wings for Life (Austria, #169111) and Craig H. Neilsen Foundation (USA) for the INSPIRED project, the National Institutes of Health (NIH) through grants R00EB016689 and R01EB027779 (R.L.B.), the Instituto Investigación Carlos III (Spain, PI18/00823), the Czech Health Research Council grant n. NV18-04-00159, the Ministry of Health, Czech Republic - conceptual development of research organization (FNBr, 65269705), the National Imaging Facility and Queensland NMR Network (UQ), and SpinalCure Australia (M.J.R.), the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement n° 616905; Max Planck Society and European Research Council (ERC StG 758974); European Union’s Horizon 2020 research and innovation programme under the grant agreement No 681094, and the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0137; BMBF (01EW1711A & B) in the framework of ERA-NET NEURON, the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634541, the Engineering and Physical Sciences Research Council (R006032/1, M020533/1) and Rosetrees Trust (UK), UK Multiple Sclerosis Society (892/08, 77/2017), NIHR Biomedical Research Centres, UCLH, the Italian Ministry of Health Young Researcher Grant 2013 (GR-2013-02358177), the FISR Project “Tecnopolo di nanotecnologia e fotonica per la medicina di precisione”(funded by MIUR/CNR, CUP B83B17000010001), TECNOMED project (funded by Regione Puglia, CUP B84I18000540002), Million Dollar Bike Ride from the University of Pennsylvania (MDBR-17-123-MPS), investigator-initiated PREdICT study at the Vall d’Hebron Institute of Oncology (Barcelona) funded by AstraZeneca and CRIS Cancer Foundation, the Wellcome Trust (UK) (203139/Z/16/Z), Systems, Technologies and Applications for Radiofrequency and Communications (STARaCOM) and Swiss National Science Foundation (PCEFP3_181362/1). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Publisher Copyright: © 2021, The Author(s).

PY - 2021/12

Y1 - 2021/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85112695767&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85112695767&partnerID=8YFLogxK

U2 - 10.1038/s41597-021-00941-8

DO - 10.1038/s41597-021-00941-8

M3 - Article

C2 - 34400655

AN - SCOPUS:85112695767

SN - 2052-4463

VL - 8

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 219

ER -

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

Abstract

Funding

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

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

Cite this

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

Abstract

Funding

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Datasets

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

Cite this