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. 2024 Feb 6;17(1):24–46. doi: 10.1007/s12194-024-00780-3

Fig. 13.

Fig. 13

Reconstructed results of the iterative PET image reconstruction algorithm using CNN representation [188]. Columns represent high count ground truth, EM reconstruction with the Gaussian filtering, fair penalty-based penalized reconstruction, dictionary learning-based reconstruction [198], CNN denoising, and the proposed iterative PET image reconstruction using CNN.

© 2019 IEEE. Reprinted with permission from Gong et al. [188]