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. 2022 Dec;12(12):5326–5342. doi: 10.21037/qims-22-116

Table 2. Comparison of image quality metrics for U-net, c-GAN, M-c-GAN, and the proposed method.

U-net c-GAN M-c-GAN Proposed
PSNR (dB)
   Median (Q1/Q3) 26.4 (24.8/27.5) 26.5 (24.9/28.0) 26.6 (24.6/28.1) 27.5 (26.1/28.6)
   PIR (mean ± SD) 11.51%±5.82% 11.69%±5.12% 11.65%±5.10% 13.17±5.84%
   P value 0.101 0.025 0.145 <0.001
NMSE (%)
   Median (Q1/Q3) 0.309 (0.242/0.445) 0.301 (0.209/0.443) 0.299 (0.210/0.463) 0.242 (0.186/0.340)
   NIR (mean ± SD) 70.31%±91.26% 73.55%±86.84% 74.82%±76.02% 81.66%±46.35%
   P value <0.001 <0.001 <0.001 0.016
SSIM
   Median (Q1/Q3) 0.981 (0.974/0.986) 0.981 (0.973/0.987) 0.982 (0.974/0.986) 0.985 (0.980/0.987)
   SIR (mean ± SD) 26.05%±20.46% 26.02%±19.84% 26.02±19.81% 26.72%±20.69%
   P value <0.001 <0.001 <0.001 0.079
CNR (%)
   Median (Q1/Q3) 5.69 (2.64/10.9) 5.79 (2.75/11.0) 6.15 (2.61/11.1) 3.88 (1.72/7.66)
   CIR (mean ± SD) 71.76%±49.81% 72.41%±50.34% 72.62%±46.70% 80.60%±32.90%
   P value 0.277 0.177 0.526 0.214

P value, Wilcoxon signed-rank test in which significance level was set to be 5% and proposed bi-c-GAN was compared with U-net, c-GAN, M-c-GAN and low-dose PET. Q1/Q3, 25% and 75% percentile values of quartile. PSNR, peak signal to noise ratio; NMSE, normalized mean square error; SSIM, structural similarity; CNR, contrast noise ratio; c-GAN, conditional generative adversarial network; M-c-GAN, multiple c-GAN; PIR, improvement ratio of PSNR; SIR, improvement ratio of SSIM.