Journal of Applied Optics, Volume. 46, Issue 2, 292(2025)
Low-dose CT denoising using combination of multi-scale residuals and global attention
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Fig. 8. Comparison of denoising effects of different algorithms under extreme noise conditions
Table 1. Comparison of denoising results of LDCT images using different algorithms
View tableView in ArticleTable 1. Comparison of denoising results of LDCT images using different algorithms
Method PSNR SSIM SI LDCT 29.4354 0.8660 0.3695 BM3D 31.8327 0.8992 0.3044 RED-CNN 32.6219 0.9169 0.2914 CTformer 34.3157 0.9511 0.2848 Ours 35.1838 0.9605 0.2845
Table 2. Evaluation indexes of noise reduction by different algorithms under extreme noise conditions
View tableView in ArticleTable 2. Evaluation indexes of noise reduction by different algorithms under extreme noise conditions
Method PSNR SSIM SI LDCT 18.0209 0.6932 0.5629 BM3D 18.5560 0.7313 0.4161 RED-CNN 18.9179 0.7643 0.3848 CTformer 19.7843 0.7358 0.3472 Ours 20.1060 0.7791 0.3102
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Yanan SUN, Ping CHEN, Jinxiao PAN. Low-dose CT denoising using combination of multi-scale residuals and global attention[J]. Journal of Applied Optics, 2025, 46(2): 292
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Received: Apr. 15, 2024
Accepted: --
Published Online: May. 13, 2025
The Author Email: Ping CHEN (陈平)
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