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The effects of various penalty parameter values in Q.Clear algorithm for rectal cancer detection on 18 F-FDG images using a BGO-based PET/CT scanner: a phantom and clinical study.

Fatemeh SadeghiPeyman SheikhzadehSaeed FarzanehfarPardis GhafarianYalda MoafpurianMohammadreza Ay
Published in: EJNMMI physics (2023)
Implementing Q.Clear enhances quantitative accuracies through a fully convergent voxel-based image approach, employing a penalization factor. In the BGO-based scanner, the optimal β value for small lesions ranges from 200 for LBR 2:1 to 300 for LBR 8:1. For large lesions, the optimal β value is between 400 for LBR 2:1 and 500 for LBR 8:1. We recommended β value of 300 for small lesions and β value of 500 for large lesions in clinical study.
Keyphrases
  • pet ct
  • deep learning
  • rectal cancer
  • positron emission tomography
  • squamous cell carcinoma
  • magnetic resonance imaging
  • magnetic resonance
  • radiation therapy
  • double blind