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Related Experiment Video

Updated: Jun 30, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

A multi-modal flow phantom for quantitative PET/Spectral CT.

Elizabeth J Li, Sophie Lammers, Yinglin Ge

    Biorxiv : the Preprint Server for Biology
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    We developed a novel modular flow phantom for simultaneous Positron Emission Tomography (PET) and spectral Computed Tomography (CT) imaging. This system enhances blood flow quantification by enabling tunable exchange between blood and tissue compartments for improved perfusion assessment.

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    Last Updated: Jun 30, 2026

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Physiology

    Background:

    • Accurate blood flow quantification is crucial for diagnosing and monitoring various medical conditions.
    • Current imaging techniques may have limitations in simultaneously assessing perfusion dynamics across different compartments.
    • Developing advanced phantoms is essential for validating and improving multi-modal imaging systems.

    Purpose of the Study:

    • To establish a modular flow phantom compatible with both Positron Emission Tomography (PET) and spectral Computed Tomography (CT) imaging.
    • To improve the accuracy of blood flow quantification using multi-modal imaging approaches.
    • To create a system that allows for tunable exchange between blood and tissue compartments.

    Main Methods:

    • A modular flow phantom was constructed using PET and spectral CT compatible materials.
    • Pores and valves were integrated to control tissue exchange and pressure gradients.
    • System characterization involved saline bolus experiments, dynamic PET, and spectral CT acquisitions.
    • Compartmental modeling was employed to estimate blood flow (K1) and assess perfusion parameters.

    Main Results:

    • A target blood flow (K1) of 1.0 mL/min/mL was achieved with a physiological pressure range (2.2-3.5 psi) using a specific pore and valve configuration.
    • The phantom demonstrated the ability to recapitulate K1 across a range of values by adjusting its configuration.
    • Perfusion-related parameters derived from saline, PET, and spectral CT measurements showed consistency.

    Conclusions:

    • A versatile, modular multi-modal flow phantom was successfully developed.
    • The phantom facilitates controlled dynamic perfusion imaging with simultaneous PET and spectral CT.
    • This setup supports the advancement of multi-modal imaging for evaluating tissue perfusion.