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Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET.

Meghi DedjaAbolfazl MehranianKevin M BradleyMatthew D WalkerPatrick A FieldingScott D WollenweberRobert JohnsenDaniel R McGowan
Published in: EJNMMI physics (2024)
The combination of DLE and DLT increased diagnostic confidence and lesion detectability compared to ToF-BSREM images. As DLE + DLT used input OSEM images, and because DL inferencing was fast, there was a significant decrease in overall reconstruction time. This could have applications to total body PET.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • pet ct
  • positron emission tomography
  • computed tomography
  • machine learning
  • mass spectrometry
  • pet imaging
  • ms ms