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Abstract #1578

Reduction of Motion Artifacts in MRgFUS in the Brain Using Hybrid Thermometry

Ron Instrella1, Kim Butts Pauly2, Will Grissom3, Viola Rieke4

1Electrical Engineering, Stanford University, Stanford, CA, United States; 2Radiology, Stanford University, United States; 3Biomedical Engineering, Vanderbilt University, United States; 4Radiology and Biomedical Imaging, University of California San Francisco, United States

Advancements in MR-guided temperature imaging have accelerated the use of focused ultrasound in clinical brain treatments; however, the currently used proton resonance frequency (PRF) baseline subtraction method is susceptible to motion. The hybrid algorithm uses both multibaseline and referenceless thermometry to produce improved temperature measurements in moving organs. In this study, we show that a pre-procedural baseline library of 13 images is sufficient for reducing motion artifacts using hybrid temperature reconstruction in the brain, in an attempt to achieve more reliable temperature measurements and minimize scan time.