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. Author manuscript; available in PMC: 2019 Apr 16.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2019 Mar 8;10951:1095120. doi: 10.1117/12.2512799

Table 1.

Average displacements between automatically matched feature points and manual landmarks without brain shift compensation and with either spline-based or FEM-based brain shift compensation. Results are reported for two time intervals during surgery: 1) for deformation that occurred between iUS images acquired immediately prior to and immediately after opening the dura (Dural opening) and 2) for deformation that occurred between iUS images acquired immediately prior to opening the dura and after significant tumor resection (Subtotal resection). In all cases, the FEM method provided better results for manual landmarks than the spline-based method. We note that because very small residuals for feature points are expected after applying the thin plate spline (since they were used to train the spline), feature point residuals for the spline-based and FEM method cannot be compared to each other in a meaningful way. They are included here for completeness.

Without compensation After thin-plane spline After FEM
Manual landmarks Automatic features Manual landmarks Automatic features Manual landmarks Automatic features
Case 1
Dural opening 1.96 ± 1.22 1.34 ± 0.66 1.72 ± 0.75 3.5e−3 ± 2.8e−2 1.64 ± 0.86 0.99 ± 0.60
Subtotal resection 3.25 ± 0.99 2.60 ± 1.39 2.10 ± 1.20 6.4e−7 ± 2.3e−7 1.27 ± 0.62 1.33 ± 1.04
Case 2
Dural opening 0.77 ± 0.40 0.81 ± 0.63 0.84 ± 0.50 6.6e−7 ± 2.5e−7 0.82 ± 0.50 0.80 ± 0.64
Subtotal resection 2.33 ± 1.11 2.01 ± 0.16 1.54 ± 1.37 9.7e−7 ± 2.6e−7 1.46 ± 1.06 0.77 ± 0.25