We investigated the required detail of human body models for Fdtd simulations of a multi-transmit eight-channel body array used for abdominal imaging at UHF. The effect of reducing the number of tissue types on local 10 g averaged SAR (SAR10g,av), B1+ and coil scattering matrices (S-matrices) was investigated on subject-based manually segmented models. Models that differentiate between the lungs, fat, muscle and skin tissue were found to be sufficient to recreate results produced in fully segmented models. This finding was used to implement segmentations of 3 T mDIXON images of subjects to generate subject-specific models for Fdtd simulations efficiently.
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