基于物理模型的ISTAVS-Net多线圈MRI图像重建

黄敏, 朱俊琳, 考宇辰, 周到, 唐奇伶

Multi-Coil MRI Image Reconstruction Based on ISTAVS-Net of Physical Model

HUANG Min, ZHU Junlin, KAO Yuchen, ZHOU Dao, TANG Qiling

表1 两种传统算法（L1-ESPIRiT、ISTA）和4种深度学习网络（U-Net、ISTA-Net+、VS-Net、ISTAVS-Net）在冠状位数据重建结果中的评价指标平均值

Table 1 Average evaluation metrics of two traditional algorithms (L1-ESPIRiT, ISTA) and four deep learning networks (U-Net, ISTA-Net+, VS-Net, ISTAVS-Net) in coronary data reconstruction results

评价指标 AF L1-ESPIRiT ISTA U-Net ISTA-Net+ VS-Net ISTAVS-Net PSNR/dB 2 32.671 34.051 40.926 40.879 40.675 42.021 4 28.868 30.390 36.911 36.281 36.478 37.724 6 27.234 29.567 34.052 33.808 33.932 34.609 8 26.976 28.446 33.287 32.713 33.184 33.341 SSIM 2 0.8802 0.9301 0.9573 0.9470 0.9547 0.9604 4 0.8275 0.8680 0.9257 0.9128 0.9208 0.9311 6 0.7608 0.8424 0.8950 0.8807 0.8936 0.9002 8 0.7020 0.8205 0.8825 0.8679 0.8833 0.8839 NMSE 2 0.0205 0.0160 0.0107 0.0113 0.0109 0.0105 4 0.0384 0.0362 0.0189 0.0193 0.0190 0.0183 6 0.0478 0.0438 0.0277 0.0280 0.0275 0.0271 8 0.0578 0.0567 0.0347 0.0350 0.0316 0.0304