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8. 一例重度铁沉积肝脏临床测试数据应用不同方法重建得到的$R^{*}_{2}$参数图像. 第一行显示了不同TE采集的$T^{*}_{2}$加权图像（TE1 = 0.93 ms，TE2 = 2.27 ms，TE3 = 3.61 ms，TE4 = 4.95 ms）.肝实质内的平均$R^{*}_{2}$值（s-1）标于$R^{*}_{2}$参数图像的右上角. 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. 8. $R^{*}_{2}$ maps estimated by different reconstruction methods for one representative clinical testing data, which has severe hepatic iron overload. First row: $T^{*}_{2}$-weighted images (TE1 = 0.93 ms, TE2 = 2.27 ms, TE3 = 3.61 ms, TE4 = 4.95 ms). The mean $R^{*}_{2}$ value (s-1) in liver parenchyma (excluding vasculatures) is shown in the top right corner of each $R^{*}_{2}$ 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
