Impact of improved dead time correction on the quantification accuracy of a dedicated BrainPET scanner.

Ahlam Said Mohamad IssaJürgen ScheinsLutz TellmannCláudia Régio BrambillaPhilipp LohmannElena Rota-KopsHans HerzogIrene NeunerN Jon ShahChristoph Lerche

Published in: PloS one (2024)

The observed differences between the two DTC methods are particularly relevant for research applications in neuroscientific studies as they affect the accuracy of quantitative Brain PET images.

Keyphrases

deep learning
computed tomography
white matter
pet ct
positron emission tomography
convolutional neural network
optical coherence tomography
case control
pet imaging
magnetic resonance imaging
image quality
multiple sclerosis