Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2411001(2021)
Method of Magnetic Resonance Imaging Reconstruction Based on Lp-Norm Joint Total Variation
Figures & Tables(6)
Fig. 1. Reconstructed images and error graphs of different algorithms under 6-fold acceleration on GE_human_brain dataset. (a) Original images; (b) P-LORAKS algorithm; (c) JTV-PLORAKS algorithm; (d) proposed algorithm
Fig. 2. Reconstructed images and error graphs of different algorithms under 6-fold acceleration on P1_imk_100 dataset. (a) Original images; (b) P-LORAKS algorithm; (c) JTV-PLORAKS algorithm; (d) proposed algorithm
Fig. 3. Reconstructed images and error graphs of different algorithms under 8-fold acceleration on GE_human_brain dataset. (a) Original images; (b) P-LORAKS algorithm; (c) JTV-PLORAKS algorithm; (d) proposed algorithm
Fig. 4. Reconstructed images and error graphs of different algorithms under 8-fold acceleration on P1_imk_100 dataset. (a) Original images; (b) P-LORAKS algorithm; (c) JTV-PLORAKS algorithm; (d) proposed algorithm
Table 1. Reconstruction effects of three algorithms in GE_human_brain dataset
View tableTable 1. Reconstruction effects of three algorithms in GE_human_brain dataset
Algorithm Index R'=3 R'=4 R'=5 R'=6 R'=7 R'=8 P-LORAKS SNR /dB 27.5100 25.7100 23.8000 21.8500 20.7700 19.3700 NRMSE 0.0059 0.0073 0.0091 0.0114 0.0129 0.0152 HFEN 0.0599 0.0760 0.0972 0.1262 0.1463 0.1756 SSIM 0.9620 0.9438 0.9200 0.8838 0.8591 0.8280 JTV_PLORAKS SNR /dB 28.4400 26.6500 25.2200 23.6700 22.3800 21.2400 NRMSE 0.0053 0.0065 0.0077 0.0092 0.0107 0.0122 HFEN 0.0565 0.0729 0.0925 0.1194 0.1444 0.1681 SSIM 0.9688 0.9581 0.9486 0.9339 0.9228 0.9083 Proposed algorithm SNR /dB 28.9000 26.9800 25.5300 24.2000 23.4900 22.3600 NRMSE 0.0050 0.0063 0.0075 0.0087 0.0094 0.0108 HFEN 0.0575 0.0714 0.0806 0.1070 0.1192 0.1415 SSIM 0.9718 0.9604 0.9493 0.9393 0.9323 0.9208
Table 2. Reconstruction effects of three algorithms in P1_imk_100 dataset
View tableTable 2. Reconstruction effects of three algorithms in P1_imk_100 dataset
Algorithms Index R'=3 R'=4 R'=5 R'=6 R'=7 R'=8 P-LORAKS SNR /dB 14.0600 11.6300 10.3200 9.3200 8.5200 8.2300 NRMSE 0.0249 0.0330 0.0384 0.0435 0.0469 0.0488 HFEN 0.3244 0.4456 0.5177 0.5883 0.6415 0.6872 SSIM 0.6846 0.5765 0.4981 0.4372 0.4042 0.3822 JTV_PLORAKS SNR /dB 14.9000 12.7100 12.1800 11.0900 10.5800 9.9700 NRMSE 0.0226 0.0291 0.0310 0.0351 0.0372 0.0400 HFEN 0.3333 0.4572 0.4984 0.5800 0.6519 0.6885 SSIM 0.7036 0.6051 0.5711 0.5171 0.4916 0.4669 Proposed algorithm SNR /dB 15.5700 13.4300 12.9600 12.4300 12.1100 11.6100 NRMSE 0.0210 0.0268 0.0283 0.0301 0.0312 0.0331 HFEN 0.2762 0.3776 0.4374 0.4764 0.5203 0.5507 SSIM 0.7814 0.7253 0.6681 0.6551 0.6327 0.6181
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Jizhong Duan, Xiaoxun He, Chang Liu, Minghong Xie. Method of Magnetic Resonance Imaging Reconstruction Based on Lp-Norm Joint Total Variation[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2411001
Paper Information
Category: Imaging Systems
Received: Dec. 16, 2020
Accepted: Feb. 12, 2021
Published Online: Nov. 29, 2021
The Author Email: Jizhong Duan (duanjz@kust.edu.cn)
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