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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