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.