Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism

@article{Fu2021TotalBodyLC,
  title={Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism},
  author={Min Fu and Yanhua Duan and Zhaoping Cheng and Wenjian Qin and Ying Wang and Dong Liang and Zhanli Hu},
  journal={Medical physics},
  year={2021}
}
PURPOSE Reducing the radiation exposure experienced by patients in total-body computed tomography (CT) imaging has attracted extensive attention in the medical imaging community. A low radiation dose may result in increased noise and artifacts that greatly affect the subsequent clinical diagnosis. To obtain high-quality total-body low-dose CT (LDCT) images, previous deep learning-based research works developed various network architectures. However, most of these methods only employ normal-dose… 

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