TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography

Philippe Poulin; Guillaume Theaud; Francois Rheault; Etienne St-Onge; Arnaud Bore; Emmanuelle Renauld; Louis de Beaumont; Samuel Guay; Pierre-Marc Jodoin; Maxime Descoteaux

doi:10.1038/s41597-022-01833-1

Scientific Data (Nov 2022)

TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography

Philippe Poulin,
Guillaume Theaud,
Francois Rheault,
Etienne St-Onge,
Arnaud Bore,
Emmanuelle Renauld,
Louis de Beaumont,
Samuel Guay,
Pierre-Marc Jodoin,
Maxime Descoteaux

Affiliations

Philippe Poulin: University of Sherbrooke, Computer Science Department
Guillaume Theaud: University of Sherbrooke, Computer Science Department
Francois Rheault: University of Sherbrooke, Computer Science Department
Etienne St-Onge: University of Sherbrooke, Computer Science Department
Arnaud Bore: University of Sherbrooke, Computer Science Department
Emmanuelle Renauld: University of Sherbrooke, Computer Science Department
Louis de Beaumont: Montreal Sacred-Heart Hospital Research Centre
Samuel Guay: Montreal Sacred-Heart Hospital Research Centre
Pierre-Marc Jodoin: University of Sherbrooke, Computer Science Department
Maxime Descoteaux: University of Sherbrooke, Computer Science Department

DOI: https://doi.org/10.1038/s41597-022-01833-1
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 17

Abstract

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Measurement(s) Diffusion Weighted Imaging • Magnetic Resonance Imaging of the Brain without Contrast • Diffusion Tensor Imaging Technology Type(s) 3 T MRI scanner Factor Type(s) Age • Gender Sample Characteristic - Organism Homo sapiens

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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