Abstract #3205

Quantitative Magnetization Transfer Imaging Made Easy with qMTLab: Software for Data Simulation, Analysis and Visualisation

Jean-François Cabana¹, Ye Gu², Mathieu Boudreau³, Ives R. Levesque³, Yaaseen Atchia⁴, John G. Sled⁴, Sridar Narayanan³, Douglas L. Arnold³, Bruce G. Pike⁵, Julien Cohen-Adad⁶, Tanguy Duval⁶, Manh-Tung Vuong⁶, and Nikola Stikov⁶

¹Medical Physics, University of Montreal, Montreal, QC, Canada, ²NeuroRX, Montreal, QC, Canada, ³McGill University, Montreal, QC, Canada, ⁴University of Toronto, Toronto, ON, Canada, ⁵University of Calgary, Calgary, AB, Canada, ⁶Ecole Polytechnique, Montreal, QC, Canada

We have developed a free, open source software (qMTLab) that unifies the most widely used quantitative magnetization transfer imaging (qMTI) methods in a simple and easy to use graphical interface. qMTLab allows to easily simulate qMTI data, compare the performance of the methods under various experimental conditions, define new acquisition protocols, fit acquired data, and visualize the fitted parameter maps. In this presentation, we will offer a brief introduction on the theory behind qMTI, present the current acquisition and analytical methods, and present the functionality of the qMTLab software and its utility in basic and clinical research.

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