Skip to main content
. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Acad Radiol. 2015 Mar 14;22(6):722–733. doi: 10.1016/j.acra.2015.01.007

Table 1.

Summary of Results of Nonrigid Registration between Preprocedural MRI and Intraprocedural CT Images using B-Spline and GPU-accelerated Registration Techniques

Mean ± SD Range p-value
DSC (%) GPU 88.30 ± 3.74 80.49 – 93.11 0.41
B-Spline 89.32 ± 4.90 79.70 – 94.46

95% HD (mm) GPU 13.14 ± 5.19 6.43 – 24.54 0.15
B-Spline 11.44 ± 6.32 5.43 – 23.04

Time - Rigid Reg. (s) GPU 8.58 ± 6.31 4.36 – 29.28 < 0.002
B-Spline 20.53 ± 7.01 14.56 – 40.08

Time - Nonrigid Reg. (s) GPU 76.90 ± 10.75 61.5 – 91.43 < 0.00002
B-Spline 42.48 ± 11.39 19.38 – 68.57

Time - Resampling (s) GPU 2.07 ± 0.47 1 – 3 < 0.0000000001
B-Spline 27.72 ± 5.02 19.87 – 40.71

Time – Total
Computation (s)
GPU 87.55 ± 14.26 69.10 – 118.25 0.71
B-Spline 90.72 ± 21.81 58.42 – 149.36

Voxel Throughput
(voxels/s)
GPU 195024.67 ± 141785.32 104192.50 – 614978.60 < 0.0004
B-Spline 18050.36 ± 6324.58 12001.98 – 32628.07

Time – Manual ROI
Contouring
GPU N/A N/A N/A
B-spline 466 ± 104 300–701

Time –Total Processing GPU 87. 55 ± 14.26 69.10 – 118.25 <0.000000002
B-spline 557.08 ± 116.47 375.83 – 850.36