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. 2021 Feb;11(2):749–762. doi: 10.21037/qims-20-66

Table 3. Quantitative evaluation of the results of the different methods from Figure 9 for 50 K, 500 K, and 5 M counts.

Methods 50 K 500 K 5 M
PSNR SSIM rRMSE PSNR SSIM rRMSE PSNR SSIM rRMSE
EM + Gaussian filter 21.028 0.593 0.276 23 0.882 0.231 26.309 0.954 0.15
EM + NLM 20.165 0.651 0.304 28 0.895 0.127 27.131 0.932 0.137
CNN 21.924 0.786 0.249 30 0.926 0.104 30.595 0.938 0.092
GAN 22.233 0.818 0.258 28 0.914 0.118 32.945 0.959 0.07
LCPR-Net 25.873 0.819 0.234 30 0.934 0.099 33.303 0.963 0.067

PSNR, peak signal-to-noise ratio; SSIM, structural similarity index; rRMSE, relative root mean square error; EM, expectation-maximization; NLM, nonlocal means; CNN, convolutional neural network; GAN, generative adversarial network; LCPR-Net, low-count positron emission tomography image reconstruction network.