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Abstract #3322

Quantitative Data Driven Voxel-Wise Simulator (QVS): Application to 3D MP-RAGE Optimization for Harmonization of Multi-Centre Brain MRI Studies

Irtiza A Gilani1, John S Thornton1,2, Martina F Callaghan3, Marzena Wylezinska-Arridge1,2, Stephen J Wastling1,2, Tarek A Yousry1,2, and David L Thomas1,4

1Department of Brain Repair and Rehabilitation,Institute of Neurology, University College London, London, United Kingdom, 2Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Trust, London, United Kingdom, 3Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom, 4Leonard Wolfson Experimental Neurology Centre, UCL Queen Square Institute of Neurology, London, United Kingdom

Typical MRI simulators are either based on the signal equations or on the solution to the Bloch equations for each voxel, with appropriate image encoding incorporated. In this work, a novel modular approach to simulate MR sequences, termed quantitative voxel-wise simulator (QVS), is proposed. This simulator employs quantitative parametric maps as inputs, models the evolved MR signal as a multi-dimensional filter output and reconstructs the image by using a voxel-by-voxel modulated k-space approach. As a proof-of-concept, 3D MP-RAGE sequence is simulated and the simulated images are compared with in-vivo data. QVS is designed for multi-centre brain MRI harmonization.

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