Table 6:
Quantitative assessment indicators of image quality and related studies.
Quantitative assessment indicators of image quality | |||||
---|---|---|---|---|---|
Study | PSNR | SSIM | Mean squared error (MSE), NMSE, RMSE | DSC | Manual scoring |
Wang et al. (2018) | Yes | No | Yes | No | No |
Wang et al. (2019) | Yes | Yes | No | No | No |
Ouyang et al. (2019) | Yes | Yes | Yes | No | Yes |
Shi et al. (2019) | No | No | No | Yes | No |
Oh et al. (2020) | No | No | No | Yes | Yes |
Baumgartner et al. (2018) | No | No | No | No | No |
Kang et al. (2020) | No | No | No | No | No |
Kang et al. (2018) | No | No | No | No | No |
Choi et al. (2018) | No | Yes | No | No | No |
Pan et al. (2018) | Yes | No | No | No | No |
Islam and Zhang (2020) | Yes | Yes | No | No | No |
Kim et al. (2020) | No | No | No | No | No |
Wegmayr et al. (2019) | No | No | No | No | No |
Yan et al. (2018) | No | Yes | No | No | No |
Bowles et al. (2018) | No | No | No | No | No |
Note: The PSNR is used to measure the ratio between the maximum possible intensity value and the MSE of the synthetic and real images. SSIM is used to find the similarities within pixels of two images. MSE, NMSE, and RMSE are used to measure the voxelwise intensity differences between the real and estimated images. The DSC is used to measure the voxelwise intensity differences between the real and estimated images.