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Abstract #3942

Model Predictive Filtering and Green’s Function Heat Kernel for Real-Time Volumetric MRTI of Laser Interstitial Thermotherapy

Joshua Marchant1, Dennis L Parker2, and Henrik Odéen2
1Physics and Astronomy, University of Utah, Salt Lake City, UT, United States, 2Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States


Laser interstitial thermotherapy (LITT) is a clinical treatment modality performed under the guidance of magnetic resonance temperature imaging (MRTI). Current limitations in MRTI prevent real-time volumetric monitoring of the tissue regions being treated. In this work, we investigate the use of the model predictive filtering method (MPF), using a Green’s function heat kernel, to reconstruct large field-of-view MRTI data of phantom heating to validate their use for future real-time volumetric MRTI treatment monitoring.

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