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...

全面介绍

书目详细资料

Principais autores:	Thomas Lund Andersen, Flemming Littrup Andersen, Bryan Haddock, Sverre Rosenbaum, Henrik Bo Wiberg Larsson, Ian Law, Ulrich Lindberg
格式:	Artigo
语言:	Inglês
出版:	MDPI AG 2024-07-01
丛编:	Diagnostics
主题:	image-derived input function kinetic modelling arterial input function perfusion positron emission tomography long-axial field-of-view scanner
在线阅读:	https://www.mdpi.com/2075-4418/14/15/1590
标签:	添加标签 没有标签, 成为第一个标记此记录!