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Abstract #2360

Effects of model inaccuracies in Model Predictive Filtering MRTI

Henrik Oden 1,2 , Nick Todd 1 , Chris Dillon 3 , Allison Payne 1 , and Dennis L Parker 1

1 Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, Utah, United States, 2 Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah, United States, 3 Department of Bioengineering, University of Utah, Salt Lake City, Utah, United States

The effect of errors in the thermal properties (thermal conductivity and power density) in the previously described model predictive filtering (MPF) algorithm for reconstruction of magnetic resonance temperature change maps is investigated. Simulations and focused ultrasound heatings in ex-vivo pork muscle are performed, using a 3D segmented EPI pulse sequence. Effects of k-space reduction factor (ranging from 4 to 12) and temperature rise rates (ranging from 0.28 to 0.75 C/s) on the temperature measurement accuracy are also investigated. Both simulations and experiments show that the accuracy decreases with increasing R and increasing temperature rise rates.

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