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Abstract #0479

A personalised SAR model for subject-specific RF safety

Hongbae Jeong1, Jesper Andersson1, Aaron Hess2, and Peter Jezzard1

1Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, United Kingdom, 2Department of Cardiovascular Medicine, Department of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom

In this study, we introduce a method to personalise SAR modelling by non-linear registration of a high-resolution reference voxel model into a target (subject-specific) head morphometry. We evaluate this by using two well characterised electromagnetic models, Duke and MIDA, by comparing MIDA-warped-into-Duke (MIKE), Duke and MIDA. Maps of 10g SAR across a range of B1+ shims were evaluated, showing improved agreement between the MIKE and Duke models, versus the native MIDA and Duke models. By employing personalised SAR models an increased confidence in EM simulation can be achieved.

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