基于自监督网络的肝脏磁共振R2*参数图像重建
陆琪琪,连梓锋,李嘉龙,斯文彬,麦兆华,冯衍秋*(
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Magnetic Resonance R2* Parameter Mapping of Liver Based on Self-supervised Deep Neural Network
LU Qiqi,LIAN Zifeng,LI Jialong,SI Wenbin,MAI Zhaohua,FENG Yanqiu*()
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图5. 仿真肝脏测试数据应用不同方法估计得到的肝实质内（排除了血管结构）的平均$R^{*}_{2}$值与参考值之间的一致性分析. 图中实线代表平均偏差，虚线代
Fig. 5. Bland-Altman analysis for the agreement between the mean $R^{*}_{2}$ values in liver parenchyma (excluding vasculatures) and the reference, and the $R^{*}_{2}$ maps reconstructed from different methods on the simulated testing datasets. The solid lines represent mean differences and the dashed lines indicate 95% confidence intervals
