Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Radiation dose has no significant impact on CT-based bone mineral density measurements in a large-animal model.

Scientific reports·2026
Same author

Intravenous contrast medium impairs CT-based muscle quality but not quantity assessment: a translational study.

Frontiers in radiology·2026
Same author

Challenging Hounsfield Unit cutoffs: spectral thresholding for synthetic coronary plaque phantoms on photon-counting CT.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Signal Enhancement of Gadoquatrane for Standard Clinical Pulse Sequences: A Phantom Study in Human Plasma.

Investigative radiology·2026
Same author

Photon-counting Detector CT Spectral Reconstructions for Radiomics-based Liver Lesion Classification: A Multicenter Study.

Investigative radiology·2026
Same author

The Effect of Contrast Media Formulations with Different Iodine Preparation Concentrations at a Constant Iodine Delivery Rate in Low-kV CT Angiography: An Experimental Animal Study.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same journal

Iodinated Contrast Media Hypersensitivity in 115,966 Patients: Risk Factors, Severity Profiles, and the Impact of Iodine Concentration on Reaction Risk.

Investigative radiology·2026
Same journal

Improvement of Lung Nodule Volumetric Accuracy with Photon-counting Computed Tomography Over Energy-integrating Computed Tomography in Low-dose Screening: A Phantom Study.

Investigative radiology·2026
Same journal

Photon-counting CT in Anterior Cervical Discectomy and Fusion: Improved Metal Artifact Reduction and Impact on Bone Fusion Assessment.

Investigative radiology·2026
Same journal

Quantitative Synthetic MRI in Body Imaging: Technical Basis, Current Applications, and Future Directions.

Investigative radiology·2026
Same journal

Nonclinical Safety Assessment of Digadoglucitol, a Novel Magnetic Resonance Imaging Contrast Agent for the Central Nervous System.

Investigative radiology·2026
Same journal

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

Investigative radiology·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Measurement of Tissue Non-Heme Iron Content using a Bathophenanthroline-Based Colorimetric Assay
05:08

Measurement of Tissue Non-Heme Iron Content using a Bathophenanthroline-Based Colorimetric Assay

Published on: January 31, 2022

4.4K

Photon-Counting Computed Tomography-Based Hepatic iron Quantification Using a Tungsten-Based Contrast Agent.

Jonas Neumann1, Johannes Haubold, Felix Jergas

  • 1Quantum Optics & Quantum Information (QOQI) group, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany (J.N., J.v.Z.); Siemens Healthineers AG, Forchheim, Germany (J.N., B.S., T.N.); Department of Diagnostic and Interventional Radiology and Neuroradiology, Universitätsklinikum Essen, Essen, Germany (J.H., F.J.); Bayer AG, Berlin, Germany (G.J.); Bayer AG, Berlin, Germany (H.P.).

Investigative Radiology
|April 15, 2025
PubMed
Summary
This summary is machine-generated.

Photon-counting CT can quantify hepatic iron in contrast-enhanced scans. Three-material decomposition with tungsten-based contrast media offers clinically feasible accuracy for detecting critical iron levels.

Keywords:
computed tomographycontrast mediairon quantificationlivermultimaterial decompositionphoton counting CTspectral CTtungsten

More Related Videos

Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
05:30

Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration

Published on: May 19, 2023

1.2K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.0K

Related Experiment Videos

Last Updated: Jun 20, 2026

Measurement of Tissue Non-Heme Iron Content using a Bathophenanthroline-Based Colorimetric Assay
05:08

Measurement of Tissue Non-Heme Iron Content using a Bathophenanthroline-Based Colorimetric Assay

Published on: January 31, 2022

4.4K
Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration
05:30

Measurement of Tumor T2* Relaxation Times after Iron Oxide Nanoparticle Administration

Published on: May 19, 2023

1.2K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.0K

Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Hepatic iron overload requires accurate quantification for disease management.
  • Computed tomography (CT) is a common imaging modality, but contrast media can interfere with iron quantification.
  • Photon-counting CT offers spectral data acquisition, potentially improving material decomposition.

Purpose of the Study:

  • To evaluate the accuracy of hepatic iron quantification using photon-counting CT.
  • To assess the impact of iodine (I)- and tungsten (W)-based contrast media (CM) on iron quantification.
  • To compare the performance of 2-material vs. 3-material decomposition for iron measurement in enhanced CT scans.

Main Methods:

  • Utilized a commercial photon-counting CT system capable of acquiring 4 spectral datasets.
  • Examined anthropomorphic abdominal phantoms with liver tissue surrogate, iron, and I- or W-based CM.
  • Quantified iron using material decomposition of reconstructed spectral CT images.

Main Results:

  • Two-material decomposition achieved 1.4 mg/mL accuracy for iron in CM-free samples.
  • W-based CM led to overestimation of iron (2.7-4.7 mg/mL accuracy) at 2-4 mgW/mL.
  • Three-material decomposition with W-based CM showed improved accuracy (1.4-1.6 mg/mL).
  • I-based CM significantly impacted iron quantification, resulting in higher inaccuracies (>18-37 mg/mL).

Conclusions:

  • Three-material decomposition with suitable CM enables clinically feasible hepatic iron quantification.
  • W-based CM is superior to I-based CM for accurate iron measurement.
  • Detecting critical hepatic iron levels is feasible in enhanced CT scans using photon-counting spectral imaging.