Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network

@article{Yao2019DirectEC,
  title={Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network},
  author={Lisha Yao and Sui Li and Manman Zhu and Dong Zeng and Zhaoying Bian and Jianhua Ma},
  journal={2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)},
  year={2019},
  pages={1-3}
}
  • Lisha YaoSui Li Jianhua Ma
  • Published 1 October 2019
  • Physics, Computer Science
  • 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Energy-resolving computed tomography (ErCT) has the ability to acquire energy-dependent measurements simultaneously and quantitative material information with improved contrast-to-noise ratio. Meanwhile, ErCT imaging system is usually equipped with an advanced photon counting detector, which is expensive and technically complex. Therefore, clinical ErCT scanners are not yet commercially available, and they are in various stage of completion. This makes the researchers less accessible to the… 

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