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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