Aortic wall segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation.

Reza PiriLars EdenbrandtMåns LarssonOlof EnqvistAmalie Horstmann Nøddeskou-FinkOke GerkePoul Flemming Høilund-Carlsen

Published in: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology (2021)

The automated CNN-based approach was much faster and provided parameters that were about 15% lower than the manually obtained values, except for SUVmean values, which were comparable. AI-based segmentation of the aorta already now appears as a trustworthy and fast alternative to slow and cumbersome manual segmentation.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
pet ct
machine learning
big data
aortic valve
optic nerve
pulmonary artery
computed tomography
positron emission tomography
left ventricular