Next Article in Journal
Identification of Pathogenic Pathways for Recurrence of Focal Segmental Glomerulosclerosis after Kidney Transplantation
Previous Article in Journal
Optimization of Fast Non-Local Means Noise Reduction Algorithm Parameter in Computed Tomographic Phantom Images Using 3D Printing Technology
Previous Article in Special Issue
Attenuation Correction of Long Axial Field-of-View Positron Emission Tomography Using Synthetic Computed Tomography Derived from the Emission Data: Application to Low-Count Studies and Multiple Tracers
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diagnostics
Volume 14
Issue 15
10.3390/diagnostics14151590
diagnostics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Thomas Lund Andersen
1,2,*,
Flemming Littrup Andersen
1,2,
Bryan Haddock
1,
Sverre Rosenbaum
3,
Henrik Bo Wiberg Larsson
1,4,
Ian Law
1,2,† and
Ulrich Lindberg
1,4,†
1
Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark
2
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
3
Department of Neurology, Copenhagen University Hospital, Bispebjerg, 2400 Copenhagen, Denmark
4
Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, 2600 Copenhagen, Denmark
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2024, 14(15), 1590; https://doi.org/10.3390/diagnostics14151590
Submission received: 25 June 2024 / Revised: 16 July 2024 / Accepted: 17 July 2024 / Published: 24 July 2024
(This article belongs to the Special Issue Technical and Clinical Applications on Long-Axial-Field-of-View/Total Body PET-CT)
Browse Figures
Review Reports Versions Notes

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 [15O]H2O. We demonstrate that the extracted IDIF is quantitative and in excellent agreement with a delay- and dispersion-corrected sampled arterial input function (AIF). Perfusion maps in the brain are calculated and compared from the IDIF and AIF, respectively, showed a high degree of correlation. The results demonstrate the possibility of defining a quantitatively correct IDIF compared with AIFs from the new-generation high-sensitivity and high-time-resolution long-axial field-of-view PET/CT scanners.
Keywords: image-derived input function; kinetic modelling; arterial input function; perfusion; positron emission tomography; long-axial field-of-view scanner; PET/CT image-derived input function; kinetic modelling; arterial input function; perfusion; positron emission tomography; long-axial field-of-view scanner; PET/CT

Share and Cite

MDPI and ACS Style

Andersen, T.L.; Andersen, F.L.; Haddock, B.; Rosenbaum, S.; Larsson, H.B.W.; Law, I.; Lindberg, U. 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. Diagnostics 2024, 14, 1590. https://doi.org/10.3390/diagnostics14151590

AMA Style

Andersen TL, Andersen FL, Haddock B, Rosenbaum S, Larsson HBW, Law I, Lindberg U. 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. Diagnostics. 2024; 14(15):1590. https://doi.org/10.3390/diagnostics14151590

Chicago/Turabian Style

Andersen, Thomas Lund, Flemming Littrup Andersen, Bryan Haddock, Sverre Rosenbaum, Henrik Bo Wiberg Larsson, Ian Law, and Ulrich Lindberg. 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" Diagnostics 14, no. 15: 1590. https://doi.org/10.3390/diagnostics14151590

APA Style

Andersen, T. L., Andersen, F. L., Haddock, B., Rosenbaum, S., Larsson, H. B. W., Law, I., & Lindberg, U. (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. Diagnostics, 14(15), 1590. https://doi.org/10.3390/diagnostics14151590

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop