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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
