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    Low-frequency noise significantly impacts terahertz-computed tomography (THz-CT) 3D reconstructions. This study quantifies noise effects and proposes experimental methods to improve THz-CT image quality and accuracy.

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    Area of Science:

    • Physics
    • Imaging Science
    • Electrical Engineering

    Background:

    • Terahertz-computed tomography (THz-CT) is a developing imaging technique.
    • Low-frequency noise is a known artifact in tomographic imaging systems.
    • Understanding noise impact is crucial for accurate THz-CT reconstructions.

    Purpose of the Study:

    • To analyze the impact of low-frequency noise on THz-CT imaging.
    • To quantify noise characteristics using different acquisition methods.
    • To propose optimized experimental methodologies for improved THz-CT reconstructions.

    Main Methods:

    • Acquiring real noise data from a continuous millimeter-wave tomographic scanner.
    • Extrapolating sinograms with varying noise backgrounds from experimental data.
    • Reconstructing spatial distributions using a CT algorithm to analyze noise influence.
    • Characterizing the low-frequency noise fingerprint.

    Main Results:

    • Low-frequency noise significantly affects the quality and accuracy of 3D THz-CT reconstructions.
    • Specific experimental configurations can exacerbate noise-induced artifacts.
    • Noise characteristics were quantified and their influence on reconstructed images described.

    Conclusions:

    • Experimental choices critically influence 3D rendering in THz-CT.
    • Optimized experimental methodologies can mitigate low-frequency noise effects.
    • This research provides guidelines for enhancing THz-CT image fidelity.