Related Experiment Video
Updated: May 16, 2026

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner
Published on: June 7, 2024
A phantom approach to interscanner comparability of computed tomographic brain perfusion parameters
Christian Mathys1, Konrad Rybacki, Hans-Jörg Wittsack
1Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany. mathys@uni-duesseldorf.de
A new computed tomography perfusion phantom enables reproducible experiments. This tool helps identify how contrast, scan settings, and hardware affect perfusion parameter calculations.
Area of Science:
- Medical Imaging
- Radiology
- Biomedical Engineering
Background:
- Computed tomography (CT) perfusion imaging is crucial for assessing brain perfusion.
- Reproducibility in CT perfusion experiments is essential for reliable clinical application.
- Variability in experimental factors can impact perfusion parameter accuracy.
Purpose of the Study:
- To develop a novel perfusion phantom for reproducible CT perfusion experiments.
- To investigate the impact of contrast bolus configuration, scan parameters, and scanner hardware on perfusion calculations.
- To enhance the understanding of factors influencing CT perfusion measurement accuracy.
Main Methods:
- A discoid perfusion phantom with controlled flow was engineered.
- Inert polyoxymethylene spheres simulated brain parenchyma.
- Multiple measurements were conducted, varying key experimental factors for analysis.
Main Results:
- Experimental flow measurements demonstrated high reproducibility and strong correlation with true flow (R = 0.995).
- Factors such as tube voltage, contrast injection rate, perfusion algorithm, and scanner hardware reproducibly influenced calculated perfusion results.
- The developed phantom proved effective in a controlled experimental setting.
Conclusions:
- Perfusion phantoms are valuable tools for standardizing CT perfusion assessments.
- These phantoms can help identify hardware-specific and protocol-related influences across different CT scanners.
- Improved comparability between scanners and protocols can be achieved through phantom-based validation.
More Related Videos
06:45Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
Published on: June 2, 2023
15:10A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
Published on: December 28, 2013