Combining virtual monoenergetic imaging and iterative metal artifact reduction in first-generation photon-counting computed tomography of patients with dental implants.

Theresa Sophie PatzerAndreas Steven KunzHenner HuflagePhilipp GruschwitzPauline PannenbeckerSaif AfatJudith HerrmannBernhard PetritschThorsten Alexander BleyJan-Peter Grunz

Published in: European radiology (2023)

• Post-processing of photon-counting CT scans with an iterative metal artifact reduction algorithm substantially reduces hyperdense and hypodense artifacts arising from dental implants. • Virtual monoenergetic images presented only minimal metal artifact reduction potential. • The combination of both provided a considerable benefit in subjective analysis compared to iterative metal artifact reduction alone.

Keyphrases

image quality
dual energy
computed tomography
positron emission tomography
contrast enhanced
deep learning
magnetic resonance imaging
machine learning
climate change
high resolution
mass spectrometry
neural network
photodynamic therapy
sleep quality
risk assessment
single molecule
data analysis