Research Article

MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation

Table 1

Comparison of the average values of quality evaluation parameters (Gaussian noise case).

ā€‰ImageTVCMRI RecPF CSAFCSASB-TVProposed

SNR (dB)Brain 14.19 14.7515.20 15.7816.31 17.49
Chest 16.99 17.38 17.13 17.6318.03 18.89
Artery 18.70 19.98 22.15 23.6124.17 25.75
Cardiac 16.97 17.65 17.95 18.7718.98 19.47

RE ( )Brain 16.96 16.5407.9707.37 06.9005.98
Chest 11.58 11.21 10.84 10.3308.89 07.96
Artery 12.61 11.84 05.7704.9004.5704.10
Cardiac 14.03 13.3911.1009.7808.29 07.72

SSIMBrain 0.9567 0.97420.9906 0.99350.9940 0.9947
Chest 0.9829 0.9839 0.9848 0.98610.9887 0.9914
Artery 0.9825 0.9835 0.98480.99190.9924 0.9940
Cardiac 0.9614 0.96420.9748 0.97990.9835 0.9889

FSIMBrain 0.8712 0.87730.9489 0.96540.9719 0.9765
Chest 0.8990 0.9012 0.9063 0.91480.9237 0.9374
Artery 0.9010 0.9168 0.95160.9668 0.97050.9742
Cardiac0.9313 0.9366 0.9454 0.9551 0.95870.9629

CPU time (s)Brain 2.142.05 1.961.881.781.62
Chest 2.212.16 1.951.861.731.62
Artery 2.262.15 1.861.831.721.64
Cardiac 2.132.10 1.841.821.801.67