Quantitative results of 2DCNN, X2CT-GAN and MFCT-GAN
| Model | PSNR (dB) | SSIM |
|---|---|---|
| 2DCNN (Henzler et al., 2017) | 23.1 | 0.461 |
| X2CT-GAN-S (Ying et al., 2019) | 22.3 | 0.525 |
| X2CT-GAN-B (Ying et al., 2019) | 26.19 | 0.656 |
| MFCT-GAN-B (ours) | 31.01 | 0.676 |
| Model | PSNR (dB) | SSIM |
|---|---|---|
| 2DCNN ( | 23.1 | 0.461 |
| X2CT-GAN-S ( | 22.3 | 0.525 |
| X2CT-GAN-B ( | 26.19 | 0.656 |
| MFCT-GAN-B (ours) |
Note(s): 2DCNN generate CT volumes from single input. “-S” indicates the single-view X-ray input and “-B” represents the biplanar X-ray input. The best results are shown in italics
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