Abstract #4832

The qMRLab workflow: From acquisition to publication

Agah Karakuzu^1,2, Mathieu Boudreau^1,2, Tanguy Duval¹, Ilana Leppert ³, Tommy Boshkovski¹, Julien Cohen-Adad^1,4, and Nikola Stikov^1,2

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 (https://qmrlab.org) 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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