Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner

The accurate estimation of the tracer arterial blood concentration is crucial for reliable quantitative kinetic analysis in PET. In the current work, we demonstrate the automatic extraction of an image-derived input function (IDIF) from a CT AI-based aorta segmentation subsequently resliced to a dyn...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Thomas Lund Andersen, Flemming Littrup Andersen, Bryan Haddock, Sverre Rosenbaum, Henrik Bo Wiberg Larsson, Ian Law, Ulrich Lindberg
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-07-01
Serie:	Diagnostics
Soggetti:	image-derived input function kinetic modelling arterial input function perfusion positron emission tomography long-axial field-of-view scanner
Accesso online:	https://www.mdpi.com/2075-4418/14/15/1590
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!