Liping Zhang, Xiaobo Li, Weitian Chen
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
- [2023/03/25] 🥈 We secured 2nd place in 4x accelerated Multi-Coil Knee reconstruction in fastMRI Leaderboard!
- [2023/03/25] 🥉 We secured 3rd place in 8x accelerated Multi-Coil Knee reconstruction in fastMRI Leaderboard!
@article{zhang2023camp,
title={CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction},
author={Zhang, Liping and Li, Xiaobo and Chen, Weitian},
journal={arXiv preprint arXiv:2306.11238},
year={2023}
}
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.
Coming soon ...