用于超快时空编码MRI的Transformer超分辨率重建算法研究

宁欣宙, 黄臻, 陈西曲, 刘鑫杰, 陈罡, 张志, 鲍庆嘉, 刘朝阳

Research on Transformer Super-Resolution Reconstruction Algorithm for Ultrafast Spatiotemporal Encoding Magnetic Resonance Imaging

NING Xinzhou, HUANG Zhen, CHEN Xiqu, LIU Xinjie, CHEN Gang, ZHANG Zhi, BAO Qingjia, LIU Chaoyang

表1 不同因素影响下的消融实验

Table 1 Ablation experiments under the influence of different factors

方法 PSNR/dB SSIM FLOPS 模型参数/MB 传统迭代重建 31.08 0.8928 - - U-Net重建 38.58 0.9812 5.48 5.3 Transformer (C=12) 38.85 0.9801 4.42 3.0 Transformer (C=24) 45.22 0.9928 16.14 11.6 Transformer (C=48) 53.31 0.9983 61.48 46.2 Transformer (T=1) 42.34 0.9877 8.71 6.8 Transformer (T=2) 45.22 0.9928 16.14 11.6 Transformer (T=3) 45.41 0.9928 23.57 16.4 Transformer (Without GDL) 42.83 0.9901 16.14 11.6 Transformer (With GDL) 45.22 0.9928 16.14 11.6