Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT.

Ewa Witkowska-PatenaAnna BudzyńskaAgnieszka GiżewskaMirosław DziukAgata Walęcka-Mazur

Published in: Annals of nuclear medicine (2020)

In 18F-PSMA-1007 PET/CT, Q.Clear SUVs and TBR tend to be higher (regardless of lesion localisation), especially for small and highly avid lesions. Increase in SUVs is also higher for lesions with high tracer uptake. Still, Q.Clear does not affect 18F-PSMA-1007 PET/CT specificity and sensitivity.

Keyphrases

pet ct
positron emission tomography
machine learning
pet imaging
computed tomography
neural network