IET Signal Processing / 2024 / Article / Tab 3 / Research Article
Improved Complex Convolutional Neural Network Based on SPIRiT and Dense Connection for Parallel MRI Reconstruction Table 3 Comparisons of average PSNR and SSIM values of the MR images reconstructed by all the models for the Coronal-PD dataset from the 3x and 5x accelerated 1DRU, 2DRU, RADU, and 2DPU patterns.
Undersampling patterns Reconstruction models Threefold AF Fivefold AF PSNR (dB) SSIM PSNR (dB) SSIM 1DRU SPIRiT 31.970 ± 1.157 0.823 ± 0.028 29.261 ± 1.683 0.761 ± 0.039 Deepcomplex 35.586 ± 1.385 0.880 ± 0.021 33.039 ± 1.243 0.818 ± 0.029 DONet 35.812 ± 1.443 0.884 ± 0.020 33.540 ± 1.148 0.831 ± 0.028 SPIRiT-Net 36.468 ± 1.141 0.892 ± 0.019 34.077 ± 1.141 0.843 ± 0.026 2DRU SPIRiT 38.334 ± 2.279 0.910 ± 0.023 35.782 ± 2.185 0.864 ± 0.032 Deepcomplex 39.632 ± 2.817 0.931 ± 0.024 37.245 ± 2.684 0.889 ± 0.036 DONet 39.823 ± 2.984 0.932 ± 0.025 37.500 ± 2.918 0.892 ± 0.038 SPIRiT-Net 40.937 ± 1.984 0.943 ± 0.016 38.477 ± 1.688 0.910 ± 0.020 2DPU SPIRiT 39.398 ± 2.762 0.928 ± 0.026 36.832 ± 2.450 0.883 ± 0.034 Deepcomplex 39.491 ± 2.704 0.934 ± 0.022 37.151 ± 2.450 0.894 ± 0.034 DONet 39.786 ± 2.846 0.936 ± 0.025 37.597 ± 2.791 0.898 ± 0.037 SPIRiT-Net 40.869 ± 1.702 0.942 ± 0.016 38.941 ± 1.606 0.919 ± 0.019 RADU SPIRiT 38.357 ± 2.409 0.911 ± 0.025 35.829 ± 2.533 0.859 ± 0.038 Deepcomplex 39.803 ± 2.886 0.933 ± 0.025 36.947 ± 2.733 0.883 ± 0.040 DONet 39.857 ± 3.004 0.933 ± 0.025 37.090 ± 2.847 0.884 ± 0.040 SPIRiT-Net 40.963 ± 1.847 0.943 ± 0.016 38.011 ± 1.813 0.901 ± 0.023
The best values are in bold.