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Abstract #4404

A Reliable Real Time Liver Motion Tracking for Application in Magnetic Resonance Guided High Intensity Focused Ultrasound Therapy

Dattesh D. Shanbhag1, Rekha Tranquebar1, James C. Ross2

1Imaging Technologies, GE Global Research, Bangalore, Karnataka, India; 2Department of Radiology, Surgical Planning Laboratory, Boston, MA, USA

Bias error analysis for liver feature tracking using an automated thin-plate spline algorithm is presented. The mean errors observed with automated algorithm were 1.8 mm and 2.9 mm with a maximum bias of 3.5 mm and 5mm, along the S-I and R-L respectively. The analysis shows that automated tracking could reliably replace the tedious manual tracking of features during the MRgFUS therapy procedure.