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Abstract #2871

Motion-Dependent Low-Order Predictive Linear Model for Patient Safety Assessment at 7T with Technically Feasible Coil Models

Amer Ajanovic1,2, Yannick Brackenier1,2, Raphael Tomi-Tricot1,2, Joseph V Hajnal1,2,3, and Shaihan Malik1,2
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, LONDON, United Kingdom, 2London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 3Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Synopsis

Establishing a comprehensive model that addresses patient safety at UHF MRI with respect to motion is a non-trivial task because of the underlying computationally expensive frameworks. Using MARIE we computed a large number of pose simulations of 3 feasible coil models (birdcage, 4-channel and 8-channel pTx) in proximity to Duke body model to allow the parameter space to be well explored. It is found that a low order linear model can capture most of the variation in cpB1+. We also observe low variations in cpSAR for 2 realistic coil models across the conditions examined, with 8-channel coil being most robust.

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