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
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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