Table 2.
Quantitative results of attenuation and noise in different tissues, SNR and CNR.
| FBP | HIR | MBIR | DLID | |
|---|---|---|---|---|
| Attenuation | ||||
| Renal parenchyma | 36.4 ± 5.0 | 35.8 ± 4.6 | 35.2 ± 4.6 | 36.5 ± 4.7 |
| Fat | −119.2 ± 10.4 | −118.5 ± 10.2 | −119.5 ± 9.7 | −117.9 ± 10.2 |
| Muscle | 58.1 ± 6.8 | 56.6 ± 4.8 | 54.2 ± 4.1 | 58.0 ± 6.6 |
| Urine | 13.5 ± 15.4 | 16.0 ± 12.9 | 15.0 ± 13.2 | 14.9 ± 14.5 |
| Noise | ||||
| Renal parenchyma | 62.1 ± 25.6 | 40.9 ± 12.1 | 24.3 ± 5.4 | 29.2 ± 12.0 |
| Fat | 34.0 ± 10.8 | 25.0 ± 6.7 | 18.5 ± 3.5 | 16.5 ± 4.8 |
| Muscle | 71.3 ± 29.4 | 44.7 ± 12.9 | 22.0 ± 5.6 | 33.3 ± 12.8 |
| Urine | 78.4 ± 30.3 | 44.9 ± 11.7 | 23.5 ± 5.1 | 35.1 ± 14.0 |
| SNR | 0.7 ± 0.2 | 1.0 ± 0.3 | 1.5 ± 0.3 | 1.4 ± 0.4 |
| CNR | 2.2 ± 1.0 | 2.3 ± 1.2 | 3.1 ± 1.7 | 3.0 ± 1.4 |
Results are means ± SDs. FBP, filtered-back projection; HIR, hybrid iterative reconstruction algorithm; MBIR, model-based iterative reconstruction algorithm; DLID, deep-learning-based image denoising reconstruction; SNR, signal-to-noise ratio; CNR, contrast-to-noise ratio.