IET Signal Processing / 2024 / Article / Tab 4 / Research Article
Improved Complex Convolutional Neural Network Based on SPIRiT and Dense Connection for Parallel MRI Reconstruction Table 4 Comparisons of average PSNR and SSIM values of the MR images reconstructed by all the models for the Sagittal-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 31.976 ± 2.617 0.822 ± 0.045 29.763 ± 2.473 0.754 ± 0.050 Deepcomplex 36.889 ± 1.590 0.893 ± 0.019 34.342 ± 1.632 0.833 ± 0.027 DONet 37.308 ± 1.541 0.896 ± 0.018 34.931 ± 1.578 0.831 ± 0.028 SPIRiT-Net 38.178 ± 1.733 0.910 ± 0.020 35.726 ± 1.804 0.865 ± 0.030 2DRU SPIRiT 39.310 ± 1.376 0.927 ± 0.013 36.182 ± 1.618 0.884 ± 0.021 Deepcomplex 40.806 ± 1.169 0.941 ± 0.009 38.430 ± 1.193 0.905 ± 0.014 DONet 40.798 ± 1.179 0.941 ± 0.009 38.426 ± 1.205 0.904 ± 0.014 SPIRiT-Net 42.119 ± 1.471 0.951 ± 0.011 39.906 ± 1.498 0.925 ± 0.017 2DPU SPIRiT 39.759 ± 3.089 0.932 ± 0.013 36.970 ± 1.582 0.886 ± 0.037 Deepcomplex 40.617 ± 1.219 0.943 ± 0.009 38.342 ± 1.202 0.891 ± 0.015 DONet 40.897 ± 1.167 0.945 ± 0.008 38.586 ± 1.167 0.908 ± 0.013 SPIRiT-Net 42.339 ± 1.481 0.955 ± 0.010 40.264 ± 1.544 0.930 ± 0.016 RADU SPIRiT 39.220 ± 1.165 0.926 ± 0.013 36.575 ± 1.528 0.872 ± 0.021 Deepcomplex 40.559 ± 1.178 0.938 ± 0.009 37.693 ± 1.293 0.891 ± 0.015 DONet 40.614 ± 1.714 0.947 ± 0.012 37.749 ± 1.835 0.910 ± 0.021 SPIRiT-Net 41.809 ± 1.527 0.948 ± 0.012 38.985 ± 1.717 0.912 ± 0.020
The best values are in bold.