Abstract #3660

Database Construction for Local SAR Prediction: Preliminary Assessment of the Intra and Inter Subject SAR Variability in Pelvic Region

Ettore Flavio Meliadò¹, Alexander J.E Raaijmakers¹, Matthew C. Restivo¹, Matteo Maspero¹, Peter R. Luijten¹, and Cornelis A.T. van den Berg¹

¹Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands

A reliable technique to assess the 10g averaged Specific Absorption Rate is necessary for parallel transmit ultra-high field body MRI. We believe that the best solution is to build a database with many different models. We have created nine dedicated body models and performed FDTD simulations on them to evaluate the inter-subject variability for prostate imaging at 7T using fractionated dipole antennas. Maximum SAR_10g ranges from 1.64 to 2.48W/kg with 8x1W input power. No relationship was found between BMI and maximum SAR_10g. Intra-subject variability (caused by slight antenna positioning variability, +/-2cm) was also investigated showing up to 67.8% SAR variability.

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