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Abstract #4832

The qMRLab workflow: From acquisition to publication

Agah Karakuzu1,2, Mathieu Boudreau1,2, Tanguy Duval1, Ilana Leppert 3, Tommy Boshkovski1, Julien Cohen-Adad1,4, and Nikola Stikov1,2

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Montreal, QC, Canada, 3Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 4Unité de Neuroimagerie Fonctionnelle (UNF), Centre de recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada

qMRLab is open-source software that provides a wide selection of quantitative MRI (qMRI) methods for data fitting, simulation and protocol optimization. Currently, most qMRI methods are developed in-house and are difficult to port across sites. Our vision for qMRLab is to build standardized workflows for these methods, beginning at the scanner console and extending all the way to journal publication. We developed a web portal ( that includes interactive tutorials and Jupyter Notebooks running on BinderHub, tailored for qMRI methods. The last piece of this workflow puzzle is the integration of qMRLab on MR systems, by deploying it as a plugin on a custom MRI application development platform (e.g. RTHawk).

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