Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi

Insights into Imaging

Table 3 Noise and signal-to-noise ratios (SNRs) for various abdominal organs and tissues

Organ	LD-HIR (group 1)	ULD-HIR (group 2)	ULD-DLR (group 3)	P 1 vs. 2 vs. 3	P 1 vs. 2	P 1 vs. 3	P 2 vs. 3
Noise (HU)
Liver	9.10 ± 0.91	14.60 ± 1.72	7.57 ± 0.49	< 0.001	< 0.001	< 0.001	< 0.001
Spleen	9.25 ± 1.11	14.14 ± 1.39	7.40 ± 0.57	< 0.001	< 0.001	< 0.001	< 0.001
Kidney	9.18 ± 1.17	14.06 ± 2.08	7.31 ± 0.81	< 0.001	< 0.001	< 0.001	< 0.001
Aorta	9.73 ± 1.52	14.35 ± 2.11	7.84 ± 1.08	< 0.001	< 0.001	< 0.001	< 0.001
Muscle	10.04 ± 1.52	14.85 ± 2.57	7.52 ± 1.04	< 0.001	< 0.001	< 0.001	< 0.001
Fat	7.98 ± 1.25	12.14 ± 2.13	7.58 ± 1.67	< 0.001	< 0.001	0.053	< 0.001
SNR
Liver	6.27 ± 1.29	4.11 ± 0.73	7.69 ± 1.29	< 0.001	< 0.001	< 0.001	< 0.001
Spleen	5.50 ± 0.82	3.79 ± 0.42	6.94 ± 0.68	< 0.001	< 0.001	< 0.001	< 0.001
Kidney	3.65 ± 0.72	2.56 ± 0.40	4.60 ± 0.53	< 0.001	< 0.001	< 0.001	< 0.001
Aorta	4.56 ± 0.90	3.28 ± 0.63	5.83 ± 1.08	< 0.001	< 0.001	< 0.001	< 0.001
Muscle	5.17 ± 0.99	3.81 ± 0.81	7.04 ± 1.39	< 0.001	< 0.001	< 0.001	< 0.001
Fat	14.18 ± 2.72	9.74 ± 3.51	14.69 ± 2.44	< 0.001	< 0.001	0.268	< 0.001