仿真数据：

        该数据用于训练神经网络，可以做网络训练的标签

        使用仿真平台生成仿真MPI数据即可，可根据自己的修改梯度，噪声等参数

如使用该数据，请引用如下参考文献

@article{FDS-MPI,
  author={Yaxin Shang, Jie Liu, Liwen Zhang, Xiangjun Wu, Peng Zhang, Lin Yin, Hui Hui, and Jie Tian},
  journal={Physics in Medicine and Biology}, 
  title={Deep learning for improving the spatial resolution of magnetic particle imaging}, 
  year={2022},
  volume={67},
  number={},
  pages=125012
  doi={10.1088/1361-6560/ac6e24}}

如使用该数据，请引用如下参考文献

@article{AEP-net,
  author={Yaxin Shang, Jie Liu1, Yanjun Liu, Bo Zhang, Xiangjun Wu, Liwen Zhang, Wei Tong, Hui Hui, and Jie Tian},
  journal={Physics in Medicine and Biology}, 
  title={Anisotropic edge-preserving network for resolution enhancement inunidirectional Cartesian magnetic particle imaging}, 
  year={2023},
  volume={68},
  number={4},
  pages={045014},
  doi={10.1088/1361-6560/acb584}}

实验数据：

       使用MPI商业机采集的二维数据和三维数据