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Abstract #3206

Can Multi-Parametric Mapping Sequences Be Used for Accurate Quantitative Susceptibility Mapping?

Russell Murdoch1, Jamie Kawadler2, David Carmichael2,3, Fenella Kirkham2, and Karin Shmueli1
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 3Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom

We compared the results of Quantitative Susceptibility Mapping (QSM) in each of the Proton Density (PD-), Magnetization Transfer (MT-) and T1-weighted Multi-Echo Gradient-Echo (ME-GRE) sequences in Multi-Parametric Mapping (MPM) with QSM from a conventional ME-GRE sequence. In deep grey matter (GM) regions, we found significant susceptibility (χ) correlations between each sequence pair. Correlation coefficients were lower in white matter (WM), particularly in T1-w and MT-w sequences. Averaging χ over MPM sequences increased correlations in WM and reduced noise in GM and WM. Whole-brain χ difference maps showed the largest χ differences in and around large veins and air spaces.

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