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Abstract #2339

Prior Baseline Thermometry for Improved Thermal Dose Prediction in MRgFUS of Soft Tissue Tumors

Rachelle R Bitton 1 , Taylor Webb 2 , Pejman Ghanouni 1 , and Kim Butts Pauly 1

1 Radiology, Stanford University, Stanford, CA, United States, 2 Electrical Engineering, Stanford University, Stanford, CA, United States

MRgFUS treatment efficacy is quantified during treatment using PRF thermometry calculated dose, and immediately after treatment by measuring the non-perfused volume (NPV) of contrast-enhanced (CE) images. However, conventional PRF thermometry dose volume often under-predict treatment, when compared with NPV. The purpose of this work was to investigate how much of the under-prediction was due to errors in baseline temperature assumption of PRF thermometry. We propose the use of a prior baseline method to better predict MRgFUS treatment volume. The method searches previously acquired baselines images to determine a match based on magnitude and phase similarity criteria. Using prior baselines, we calculated thermal dose volumes that were more similar to post treatment CE non-perfused volume than the immediate baseline method.

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