"Global" cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison.
Reza PiriLars EdenbrandtMåns LarssonOlof EnqvistSofie SkovrupKasper Karmark IversenBabak SabouryAbass AlaviOke GerkePoul Flemming Høilund-CarlsenPublished in: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology (2021)
The CNN-based method was faster and provided values for Vol, SUVmean, SUVmax, and SUVtotal comparable to the manually obtained ones. This AI-based segmentation approach appears to offer a more reproducible and much faster substitute for slow and cumbersome manual segmentation of the heart.