A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET.

Song XueRui GuoKarl Peter BohnJared MatzkeMarco ViscioneIan AlbertsHongping MengChenwei SunMiao ZhangMin ZhangRaphael SznitmanGeorges El FakhriAxel RomingerBiao LiKuangyu Shi

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

The deep learning development for extensible application on unknown scanners and tracers may improve the trustworthiness and clinical acceptability of AI-based dose reduction.

Keyphrases

deep learning
artificial intelligence
low dose
positron emission tomography
convolutional neural network
pet imaging
high resolution
machine learning
computed tomography
high dose
pet ct
quality improvement
magnetic resonance imaging
contrast enhanced