基于深度学习的扩散磁共振成像降噪方法研究进展
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马素超, 王远军
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Research Progress on Diffusion Magnetic Resonance Imaging Noise Reduction Methods Based on Deep Learning
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MA Suchao, WANG Yuanjun
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表5 不同噪声水平下各降噪方法的RMSE指标对比
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Table 5 Comparison of RMSE metrics for different denoising methods at various noise levels
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| b值/(s/mm²) | 噪声水平 | 噪声图像 | PCA | MPPCA | Patch2Self | 1D-CNN | | b=0 | 2% | 0.024 | 0.016 | 0.013 | 0.018 | 0.015 | | 4% | 0.042 | 0.022 | 0.020 | 0.025 | 0.017 | | 6% | 0.060 | 0.028 | 0.027 | 0.030 | 0.025 | | 8% | 0.077 | 0.039 | 0.035 | 0.036 | 0.031 | | 10% | 0.082 | 0.046 | 0.041 | 0.042 | 0.037 | | b=1000 | 2% | 0.089 | 0.055 | 0.040 | 0.046 | 0.039 | | 4% | 0.141 | 0.084 | 0.073 | 0.071 | 0.067 | | 6% | 0.167 | 0.101 | 0.082 | 0.075 | 0.071 | | 8% | 0.179 | 0.118 | 0.107 | 0.090 | 0.085 | | 10% | 0.186 | 0.122 | 0.128 | 0.107 | 0.095 | | b=2000 | 2% | 0.107 | 0.076 | 0.055 | 0.054 | 0.049 | | 4% | 0.146 | 0.123 | 0.084 | 0.086 | 0.072 | | 6% | 0.184 | 0.146 | 0.106 | 0.113 | 0.095 | | 8% | 0.205 | 0.153 | 0.143 | 0.166 | 0.111 | | 10% | 0.232 | 0.159 | 0.182 | 0.178 | 0.123 |
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