A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data

@article{Fu2020ADL,
  title={A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data},
  author={Jian Fu and Jianbing Dong and Feng Zhao},
  journal={IEEE Transactions on Image Processing},
  year={2020},
  volume={29},
  pages={2190-2202}
}
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC-CT with incomplete projections happens quite often. Conventional reconstruction algorithms face difficulty when given incomplete data. They usually involve complicated parameter selection operations, which are also sensitive to noise and are time-consuming. In this paper, we report a new deep learning reconstruction… 
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