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Abstract #0181

Virtual Tissue Electrical Properties: A New Concept for Fast, Robust Local SAR Estimation Based on B1 Measurement

Xiaotong Zhang 1 , Pierre-Francois Van de Moortele 2 , Jiaen Liu 1 , Sebastian Schmitter 2 , and Bin He 1,3

1 Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 2 Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3 Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, United States

It has been shown that Electrical Properties (EPs) of biological tissues can be derived from MR-based B1 measurement. A strong appeal for these Electrical Property Tomography (EPT) methods is to predict in real-time on a per-subject basis local SAR induced by RF pulsing. To reduce error propagation along the reconstruction, we eliminate the need for computing EPs by introducing the concept of virtual tissue EPs (VEPs), tailored to provide max local SAR estimation based on measured B1 maps, with a safety margin. We evaluate the concept on electromagnetic models (EM) and in-vivo data of head imaging at 7T.

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