CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction

Liping Zhang, Xiaobo Li, Weitian Chen

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This repository is the official PyTorch implementation of "CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction" (arxiv, supp, pretrained models, visual results). CAMP-Net achieves state-of-the-art performance in

• Calgary-Campinas Multi-Coil Brain MR Raw Data
• SKM-TEA Multi-Coil Knee MR Raw Data
• fastMRI Multi-Coil Knee MR Raw Data

Updates

• [2023/03/25] 🥈 We secured 2nd place in 4x accelerated Multi-Coil Knee reconstruction in fastMRI Leaderboard!
• [2023/03/25] 🥈 We secured 2nd place in 8x accelerated Multi-Coil Knee reconstruction in fastMRI Leaderboard!

Citation

@article{zhang2024camp,
  title={Camp-net: consistency-aware multi-prior network for accelerated MRI reconstruction},
  author={Zhang, Liping and Li, Xiaobo and Chen, Weitian},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2024},
  publisher={IEEE}
}

License and Acknowledgement

This project is released under the Apache 2.0 license. The codes are based on fastMRI, MC-MRI-Rec, and SKM-TEA. Please also follow their licenses. Thanks for their awesome works.

Contents

Coming soon ...