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

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2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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The effects of different bias loss weights on synthesized results. (A) The quantitative comparisons of PSNR and SSIM when using different bias loss weighs (k_ps), the chosen kps values here are 0, 0.01, 0.1, 1, 10 and 100. (B) Visual examples of one slice’s synthesized results when using these different bias loss weighs. The first column contains input (5% low-dose PET image) and label (full-dose PET image), and other columns are synthesized images in which the first row appears better than the second row. In two regions of interest which are marked in blue arrows, bad results indicate a lack of details. PSNR, peak signal-to-noise ratio; SSIM, structural similarity; PET, positron emission tomography.