Table 2.

Quantitative metrics calculated for the S-PET images predicted by the single-input (6% L-PET image) and multi-input (6%, 4%, and 2% L-PET images) deep learning models. P-values are calculated between the single-input and multi-input denoising models

	L-PET (6%)	Single-input (6%)	Multi-input (6%, 4%, 2%)	P-value
PSNR ± SD	35.33 ± 1.27	41.44 ± 2.90	44.89 ± 2.89	0.01
SSI ± SD	0.93 ± 0.016	0.98 ± 0.002	0.99 ± 0.001	0.04
RMSE ± SD (head)	0.15 ± 0.02	0.08 ± 0.02	0.05 ± 0.02	< 0.01
RMSE ± SD (lesion)	0.61 ± 0.11	0.48 ± 0.20	0.29 ± 0.13	< 0.01
SUVmean bias ± SD(%) (lesion)	0.09 ± 0.45	− 5.46 ± 0.65	−0.71 ± 0.49	< 0.01
SUVmax bias ± SD(%) (lesion)	9.08 ± 1.34	− 4.43 ± 2.05	2.41 ± 1.55	< 0.01