Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise.

Abolfazl MehranianScott D WollenweberMatthew D WalkerKevin M BradleyPatrick A FieldingKuan-Hao SuRobert JohnsenFotis KotasidisFloris P JansenDaniel R McGowan

Published in: European journal of nuclear medicine and molecular imaging (2021)

Deep learning-based image enhancement models may allow a reduction in scan time (or injected activity) by up to 50%, and can decrease reconstruction time to a third, while maintaining image quality.

Keyphrases

deep learning
computed tomography
image quality
neural network
positron emission tomography
dual energy
pet ct
convolutional neural network
artificial intelligence
pet imaging
magnetic resonance imaging
machine learning
palliative care
contrast enhanced
air pollution
magnetic resonance