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7. 一例中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. 7. R∗2 maps estimated by different reconstruction methods for one representative clinical testing data, which has moderate 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
