Abstract #2111

Model predictive filtering MR thermometry utilizing ultrasound beam modeling SAR predictions

Henrik Odéen¹, Scott Almquist², Joshua de Bever¹, and Dennis L Parker¹

¹Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, UT, United States, ²School of Computing, University of Utah, Salt Lake City, UT, United States

Thermal model based reconstruction of subsampled MR temperature data for focused ultrasound applications rely on acoustic and thermal parameters that are often analytically determined from a pre-treatment sonication. In this work we combine a thermal model based reconstruction method with ultrasound beam simulations to determine the specific absorption rate in order to avoid potentially damaging the tissue during a pre-treatment sonication. Proof-of-concept experiments are performed in a homogenous gelatin phantom and a gelatin phantom embedded with a plastic skull. The temperature estimations using US modeling show the same accuracy as those using a pre-treatment sonication.

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