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Refining penalty parameter selection in whole-body PET image reconstruction for lung cancer patients using the cross-validation log-likelihood method.

Qian WangYasser G AbdelhafezHande NalbantBenjamin A SpencerReimund BayerleinJinyi QiSimon R CherryLorenzo NardoRamsey D Badawi
Published in: Physics in medicine and biology (2024)
This study demonstrates the feasibility of incorporating the CVLL method into routine imaging protocols, potentially allowing for a wide range of combinations of injected radioactivity amounts and scan durations in modern PET imaging.
Keyphrases
  • pet imaging
  • computed tomography
  • positron emission tomography
  • high resolution
  • deep learning
  • clinical practice
  • magnetic resonance imaging
  • machine learning
  • mass spectrometry
  • fluorescence imaging