ArticleDiagnostics (Basel, Switzerland)2024
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.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Detailed pharmacokinetic features of a novel bis-boronEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Parametric imaging of dynamic long-axial-field-of-view PET scans: Technical challenges, statistical insights and clinical applications.Zeitschrift fur medizinische Physik · 2026Review
- Quantifying capillary transit time distribution: a novel tracer kinetic model accounting for leakiness, back diffusion, and perfusion in MRI and PET imaging-the outflow model.EJNMMI physics · 2026Article
- Pilot Study on Dynamic Long-Axial Field-of-View [Diagnostics (Basel, Switzerland) · 2026Article
- The glymphatic system in oncology: from the perspective of a radiation oncologist.Journal of radiation research · 2025Review
- Evaluating image-derived input functions for cerebral [Frontiers in nuclear medicine · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 dynamic PET series acquired on a Siemens Vision Quadra long-axial field of view scanner in 10 human subjects scanned with [
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