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    Area of Science:

    • Biomedical Imaging
    • Nanotechnology
    • Medical Physics

    Background:

    • Gold nanoparticles (GNPs) are vital contrast agents in preclinical imaging.
    • X-ray fluorescence computed tomography (XFCT) and K-edge computed tomography (CT) are key modalities for quantifying GNPs.
    • Determining the superior modality for specific applications is essential.

    Purpose of the Study:

    • To theoretically analyze and compare the signal-to-noise ratio (SNR) of XFCT and K-edge CT for GNP quantification.
    • To identify the concentration threshold at which one modality outperforms the other.
    • To validate theoretical findings with numerical and experimental data.

    Main Methods:

    • Theoretical analysis of SNR for XFCT and K-edge CT.
    • Numerical simulations using phantoms with varying GNP concentrations and structures.
    • Experimental validation of XFCT and K-edge CT performance.

    Main Results:

    • Theoretical analysis predicts a concentration-dependent SNR advantage for XFCT or K-edge CT.
    • Numerical and experimental results confirm XFCT's superiority at GNP concentrations below 0.4%.
    • The findings align with theoretical predictions, establishing a clear performance benchmark.

    Conclusions:

    • XFCT demonstrates superior SNR compared to K-edge CT for low GNP concentrations (<0.4%).
    • The choice between XFCT and K-edge CT depends on the target GNP concentration in preclinical studies.
    • This comparative analysis aids in selecting the most efficient imaging modality for GNP-based research.