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Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography.

Donghwi HwangSeung Kwan KangKyeong Yun KimHongyoon ChoiJae Sung Lee
Published in: European journal of nuclear medicine and molecular imaging (2021)
The use of CNNNAC was feasible for scatter estimation to address the chicken-egg dilemma in MLAA reconstruction, but CNNMLAA outperformed CNNNAC.
Keyphrases
  • positron emission tomography
  • deep learning
  • computed tomography
  • pet ct
  • pet imaging
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • monte carlo