Meeting Banner
Abstract #0521

Hybrid Referenceless & Multi-Baseline Thermometry For Mrgfus Brain Applications

Viola Rieke1, Beat Werner2, Nathan McDannold3, William Grissom4, Ernst Martin2, Kim Butts Pauly1

1Department of Radiology, Stanford University, Stanford, CA, USA; 2MR-Center, University Children's Hospital Zurich, Zurich, Switzerland; 3Department of Radiology, Brigham & Women's Hospital, Boston, MA, USA; 4Imaging Technologies Laboratory, GE Global Research, Munich, Germany

Even in a non-moving organ such as the brain, temperature errors can be problematic when brain motion occurs. In this study, we investigate if reconstruction methods developed for moving organs can be beneficial for brain applications. We compared the methods in volunteers without heating and a patient undergoing MRgFUS ablation for neuropathic pain management. The results show that the combination of referenceless and multi-baseline thermometry into a hybrid image model accurately measures temperature in the brain with less artifacts and errors due to motion than single baseline subtraction.