Skip to main content

Table 2 PSNR and SSIM of the compared methods for different MRI modalities and Rician noise levels

From: Global denoising for 3D MRI

Noise level (%) 1 3 5 7 9 11 13 15
T1w PSNR NLM 36.74 31.07 29.27 28.03 26.86 25.72 24.63 23.46
G-NLM 36.23 32.11 29.16 28.93 27.34 27.01 25.85 24.37
BM3D 43.40 36.65 33.48 31.26 29.26 27.47 25.97 24.40
G-BM3D 42.56 36.78 33.32 32.23 30.67 29.26 26.78 26.12
SSIM NLM 0.9700 0.9042 0.8666 0.8319 0.7968 0.7617 0.7275 0.6907
G-NLM 0.9625 0.9041 0.8745 0.8437 0.8052 0.7861 0.7432 0.7231
BM3D 0.9904 0.9632 0.9320 0.8993 0.8661 0.8326 0.8029 0.7697
G-BM3D 0.9903 0.9638 0.9362 0.9016 0.8795 0.8563 0.8247 0.7968
T2w PSNR NLM 33.37 27.52 24.43 22.99 22.16 21.55 20.99 20.42
G-NLM 33.43 27.51 25.12 23.37 22.06 21.87 21,34 20.64
BM3D 42.54 34.97 31.68 29.50 27.77 26.34 24.87 23.50
G-BM3D 42.89 33.67 32.54 30.68 28.52 26.43 25.26 24.37
SSIM NLM 0.9677 0.9051 0.8637 0.8259 0.7850 0.7467 0.7078 0.6731
G-NLM 0.9658 0.9037 0.8764 0.8347 0.7938 0.7637 0.7286 0.7031
BM3D 0.9898 0.9627 0.9334 0.9084 0.8768 0.8497 0.8201 0.7918
G-BM3D 0.9884 0.9638 0.9467 0.9128 0.8856 0.8643 0.8432 0.8169
PDw PSNR NLM 34.81 30.11 27.55 25.85 24.74 23.95 23.35 22.75
G-NLM 36.78 32.22 29.53 26.84 24.97 24.65 24.36 23.77
BM3D 43.43 36.40 33.28 31.27 29.62 28.25 27.10 25.86
G-BM3D 43.56 37.37 34.56 32.78 30.62 30.17 28.96 26.77
SSIM NLM 0.9728 0.9075 0.8401 0.7856 0.7435 0.7088 0.6742 0.6463
G-NLM 0.9823 0.9234 0.8564 0.7958 0.7736 0.7297 0.7056 0.6573
BM3D 0.9915 0.9665 0.9403 0.9144 0.8885 0.8678 0.8406 0.8163
G-BM3D 0.9927 0.9711 0.9568 0.9347 0.8982 0.8768 0.8543 0.8256
  1. Numbers in italics indicate the best performance on each dataset