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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*()
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*()

图4. 一例重度铁沉积肝脏仿真测试数据应用不同方法重建得到的$R^{*}_{2}$参数图像以及对应的绝对误差图(Difference). $T^{*}_{2}$ w: $T^{*}_{2}$加权图像(TE1 = 0.93 ms,TE2 = 2.27 ms).GT: 真实$S_{0}$和$R^{*}_{2}$参数图像. $R^{*}_{2}$参数图像的SSIM值标于参数图像的右上角,$R^{*}_{2}$参数图像的NRMSE值标于对应的绝对误差图的右上角. 图片右边色条颜色由蓝到红代表着$R^{*}_{2}$值从小到大的变化

Fig. 4. $R^{*}_{2}$maps reconstructed by different methods for one simulated severe iron-loaded liver dataset and corresponding absolute difference maps (Difference) under each $R^{*}_{2}$ map. $T^{*}_{2}$ w: $T^{*}_{2}$-weighted images (TE1 = 0.93 ms, TE2 = 2.27 ms). GT: ground truth of $S_{0}$ and $R^{*}_{2}$ maps. The SSIM of each $R^{*}_{2}$ map is shown in its top right corner, and the NRMSE is shown in the top right corner of the corresponding absolute difference map. The change of color in the color bar on the right side of the figure from blue to red represents the $R^{*}_{2}$ value from small to large