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

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

375 Downloads (Pure)

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
Article number	219
Number of pages	17
Journal	Scientific Data
Volume	8
Issue number	1
Early online date	16 Aug 2021
DOIs	https://doi.org/10.1038/s41597-021-00941-8
Publication status	Published - 1 Dec 2021

Keywords

Health sciences
Imaging techniques
Neurology
Physical sciences
Spinal cord diseases
Techniques and instrumentation
neurological disorders

Access to Document

10.1038/s41597-021-00941-8Licence: Creative Commons: Attribution (CC BY)

CohenAdadJ2021OpenFinal published version, 8.43 MBLicence: Creative Commons: Attribution (CC BY)

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{817f5369499646058645178476823ec8,

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.",

keywords = "Health sciences, Imaging techniques, Neurology, Physical sciences, Spinal cord diseases, Techniques and instrumentation, neurological disorders",

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 Pierre-gilles Henry 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 Joo-won Kim 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 Ii}, {Kenneth A.} and Nikolaus Weiskopf and Wise, {Richard G.} and Wyss, {Patrik O.} and Junqian Xu",

year = "2021",

month = dec,

day = "1",

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

language = "English",

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, P, Horák, T, Hori, M, Joers, J, Kamiya, K, Karbasforoushan, H, Keřkovský, M, Khatibi, A, Kim, J, 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 Ii, 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 Ii, Kenneth A.

AU - Weiskopf, Nikolaus

AU - Wise, Richard G.

AU - Wyss, Patrik O.

AU - Xu, Junqian

PY - 2021/12/1

Y1 - 2021/12/1

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.

KW - Health sciences

KW - Imaging techniques

KW - Neurology

KW - Physical sciences

KW - Spinal cord diseases

KW - Techniques and instrumentation

KW - neurological disorders

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

U2 - 10.1038/s41597-021-00941-8

DO - 10.1038/s41597-021-00941-8

M3 - Article

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

Keywords

Access to Document

Fingerprint

Cite this