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Low-count PET image reconstruction based on truncated inverse radon layer and U-shaped network.

Jianbo YeZhonghua KuangYongfeng YangKe CuiXiangyu Li
Published in: Physics in medicine and biology (2023)
The proposed method can directly convert low-count sinograms into PET images, while obtaining improved image quality and having less time consumption than iterative reconstruction algorithms and the state-of-the-art CNN.
Keyphrases
  • image quality
  • computed tomography
  • deep learning
  • positron emission tomography
  • convolutional neural network
  • pet ct
  • dual energy
  • machine learning
  • pet imaging
  • magnetic resonance imaging