Submitted:
13 March 2024
Posted:
14 March 2024
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A peer-reviewed article of this preprint also exists.
XFCT | X-ray fluorescence computed tomography |
XRF | X-ray fluorescence |
AI | Artificial Intelligence |
DL | Deep Learning |
SCUNet | Swin-Conv-UNet |
CT | Computed Tomography |
PSNR | Peak signal-to-noise ratio |
SSIM | Structural Similarity Index |
BM3D | Block-Matching and 3D filtering |
NLM | Non-local means |
DnCNN | Denoising Convolutional Neural Network |
CNN | convolutional neural network |
GAN | generative adversarial networks |
Gd | Gadolinium |
wt | Weight |
Swin | Shifted window Transformer |
KeV | Kilo electron volt |
mA | miliampere |
CBCT | Cone Beam Computed Tomography |
MAP | Maximum A Posteriori |
DRUNet | Dilated-Residual U-Net |
SwinIR | Image Restoration Using Swin Transformer |
SConv | Strided Convolution |
TConv | Transposed Convolution |
RConv | Residual Convolutional |
SwinT | Swin Transformer |
BW | bin width |
AWGN | Additive White Gaussian Noise |
Bin widths | Noise-level | BM3D | NLM | DnCNN | SCUNet | Proposed model |
---|---|---|---|---|---|---|
BW-0.05 | 25% | 13.93 | 27.92 | 36.82 | 22.77 | 29.68 |
50% | 13.91 | 25.16 | 31.07 | 24.51 | 26.97 | |
75% | 13.89 | 24.58 | 24.75 | 25.29 | 31.44 | |
BW-0.1 | 25% | 13.70 | 32.42 | 38.88 | 22.87 | 35.48 |
50% | 13.70 | 28.19 | 34.50 | 27.82 | 29.06 | |
75% | 13.67 | 27.71 | 27.75 | 26.77 | 29.33 | |
BW-0.5 | 25% | 11.76 | 39.94 | 49.35 | 22.54 | 31.81 |
50% | 11.75 | 38.77 | 43.66 | 22.74 | 32.67 | |
75% | 11.75 | 36.75 | 38.40 | 25.58 | 39.05 |
Bin Widths | Noise-level | BM3D | NLM | DnCNN | SCUNet | Proposed model |
---|---|---|---|---|---|---|
BW-0.05 | 25% | 0.073 | 0.7435 | 0.9430 | 0.4661 | 0.7868 |
50% | 0.0720 | 0.739 | 0.872 | 0.5177 | 0.8369 | |
75% | 0.071 | 0.7156 | 0.7431 | 0.6472 | 0.8654 | |
BW-0.1 | 25% | 0.0716 | 0.7985 | 0.8594 | 0.6153 | 0.8284 |
50% | 0.0715 | 0.7984 | 0.8023 | 0.6206 | 0.8658 | |
75% | 0.0712 | 0.7801 | 0.7867 | 0.6453 | 0.8218 | |
BW-0.5 | 25% | 0.0617 | 0.8029 | 0.9139 | 0.5773 | 0.8786 |
50% | 0.0616 | 0.7626 | 0.9014 | 0.4972 | 0.8466 | |
75% | 0.0615 | 0.7611 | 0.7582 | 0.5290 | 0.8638 |
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