Research Article

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

Table 2

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

ā€‰ImageTVCMRI RecPF CSAFCSASB-TVProposed

SNR (dB)Brain 13.31 13.8514.81 15.3116.24 17.08
Chest 15.30 15.50 15.45 15.6916.67 17.18
Artery 18.34 19.55 21.26 22.5423.64 24.28
Cardiac 14.68 14.95 14.98 15.2617.52 18.93

RE ( )Brain 17.1516.7813.0112.39 10.3610.01
Chest 13.19 12.94 11.58 10.9809.38 08.81
Artery 13.24 12.46 06.7605.9505.0404.71
Cardiac 15.06 14.7312.6910.2409.89 08.96

SSIMBrain 0.9511 0.96250.9787 0.98070.9860 0.9870
Chest 0.9747 0.9762 0.9801 0.98160.9828 0.9889
Artery 0.9810 0.9824 0.98320.98890.9904 0.9924
Cardiac 0.9582 0.95920.9697 0.97170.9812 0.9858

FSIMBrain 0.8499 0.85620.8994 0.90820.9290 0.9339
Chest 0.8860 0.8968 0.9031 0.90670.9221 0.9298
Artery 0.8652 0.8797 0.94240.9566 0.96720.9715
Cardiac 0.9220 0.93040.9352 0.9404 0.95180.9565

CPU time (s)Brain 2.102.05 1.961.881.781.62
Chest 2.262.14 1.971.851.731.63
Artery 2.182.14 1.881.841.741.63
Cardiac 2.102.12 1.841.821.791.67