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Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

Agah Karakuzu, Labonny Biswas, Julien Cohen-Adad and Nikola Stikov

Article (2022)

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Department: Department of Electrical Engineering
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
Funders: Canadian Foundation For Innovation, Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada,, Canadian Open Neuroscience Platform, Fonds de Recherche du Québec - Nature et Technologies, Fonds de Recherche du Québec - Santé, Réseau en Bio-Imagerie du Quebec, TransMedTech Institute
Grant number: 2016-06774, RGPIN-2019-07244, RGPIN-2022-05308, 2015-PR-182754, 28826, FRSQ-35250, FRSQ-36759, 5886, 8436-0501
PolyPublie URL: https://publications.polymtl.ca/50801/
Journal Title: Magnetic Resonance in Medicine (vol. 88, no. 3)
Publisher: John Wiley and Sons Inc
DOI: 10.1002/mrm.29292
Official URL: https://doi.org/10.1002/mrm.29292
Date Deposited: 18 Apr 2023 14:58
Last Modified: 26 Jan 2024 14:50
Cite in APA 7: Karakuzu, A., Biswas, L., Cohen-Adad, J., & Stikov, N. (2022). Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI. Magnetic Resonance in Medicine, 88(3), 1212-1228. https://doi.org/10.1002/mrm.29292

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