Keywords: Machine Learning/Artificial Intelligence, AI/ML Image Reconstruction
Motivation: A new simultaneous multi-slice imaging (SMS) that does not use the sensitivity of receiver RF coils has been proposed. Image quality could be improved with the use of an appropriate network.
Goal(s): Our goal is to improve the quality of reconstructed images in proposed SMS.
Approach: mage reconstruction by SARA-GAN, SwinMR and 3D U-Net were tested and the results were compared with our previous work using U-Net.
Results: Simulation experiments showed that higher PSNRs were obtained by SwinMR, and the best LPIPS was achieved by SARA-GAN, showing a significant improvements of image quality in appearance.
Impact: The image quality of Deep learning-based SMS has been greatly improved.
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