SwinV2-MRI: Accelerated Multi-Coil MRI Reconstruction using Shifted Window Vision Transformers

Vision transformers (ViT) are increasingly utilized in computer vision and have been shown to outperform CNNs in many tasks. In this work, we explore the use of Shifted Window (Swin) transformers for accelerated MRI reconstruction. Our proposed SwinV2-MRI architecture enables the use of multi-coil data and k-space consistency constraints with Swin transformers. Experimental results show that the proposed architecture outperforms CNNs even when trained on a limited dataset and without any pre-training.