TABLE 3

MSE Between Noisy and CNN-Filtered Simulated Bone Scan Images with Noiseless Image as Reference

Total counts in millions
Image type10.90.80.70.60.50.40.30.20.1
MeanSDMeanSDMeanSDMeanSDMeanSDMeanSDMeanSDMeanSDMeanSDMeanSD
Original3.730.104.150.114.670.135.340.156.240.177.500.199.420.2512.730.3119.150.5038.432.34
B-CNN0.250.020.270.030.300.030.330.030.380.030.440.030.550.030.780.061.330.143.710.45
M-CNN0.270.020.290.020.320.020.360.030.410.030.480.030.590.030.820.061.380.143.860.38
C-CNN0.350.020.400.020.460.020.540.010.660.020.830.031.110.031.650.062.960.148.040.63
Gaus31.040.031.150.031.290.041.480.041.730.052.080.052.620.073.580.095.540.1612.090.71
Gaus50.420.030.450.030.500.030.560.030.650.030.760.030.950.031.310.042.110.135.280.36
Gaus70.380.060.400.060.430.060.460.060.510.060.570.060.670.060.880.061.390.123.650.30
Gaus90.530.130.540.120.560.120.580.130.610.130.650.130.710.120.860.121.230.123.040.30
Gaus110.790.220.800.210.810.210.830.220.850.220.870.220.920.211.030.211.330.182.870.34
Gaus131.140.331.150.321.160.321.170.331.180.331.200.331.230.321.330.321.570.272.920.42
Med90.780.040.860.040.960.041.100.041.280.041.550.051.970.062.730.084.450.1510.640.57
Med250.590.090.630.090.680.090.760.090.850.091.000.101.220.101.660.112.710.116.750.29
Med490.890.220.920.220.970.221.030.231.110.231.240.241.420.251.790.262.690.196.390.36
Med811.500.451.540.461.590.451.650.461.730.461.850.472.030.472.410.503.310.417.100.56
  • B-CNN = bone CNN; M-CNN = mix CNN; C-CNN = cylinder CNN; Gaus = Gaussian filter; Med = median filter.

  • Values represent mean MSE of 40 simulated bone scans.