Abstract #3720

Model-Predictive Controller using MR Thermometry for Dynamic Optimization of Heating/Cooling Pulses for HIFU Therapies

Joshua de Bever^1,2, Allison Payne¹, Nick Todd¹, Robert Roemer³

¹Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States; ²School of Computing, University of Utah; ³Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, United States

A novel model-predictive controller that leverages Magnetic Resonance Temperature Imaging to guide High Intensity Focused Ultrasound (HIFU) cancer therapies has been implemented and tested in vivo. The controller reduces treatment time by optimizing individual pulse heating and cooling times while guaranteeing treatment safety. The clinician retains full supervisory control while leveraging a computer's ability to rapidly monitor and adjust many parameters simultaneously.