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    Area of Science:

    • Physics
    • Materials Science
    • Engineering

    Background:

    • Terahertz computed tomography (THz-CT) is an imaging technique with potential for non-destructive testing.
    • Traditional THz-CT methods can face challenges in image quality and reconstruction speed.
    • Phase information in THz signals is crucial for accurate material characterization.

    Purpose of the Study:

    • To develop a new image reconstruction approach for THz-CT.
    • To introduce a novel algorithm for extracting average phase from THz signals.
    • To validate the approach for non-destructive testing of plastic profiles.

    Main Methods:

    • A geometrical optics model incorporating THz signal amplitude and phase was utilized.
    • A novel algorithm was derived to extract average phase from measured THz signals.
    • THz time-domain spectroscopy (THz-TDS) in transmission geometry was employed for rapid CT measurements.

    Main Results:

    • The developed algorithm successfully generated phase-contrast sinograms.
    • Phase-contrast sinograms were effectively used for image reconstruction.
    • Quantitative evaluation demonstrated the potential of the approach for plastic profile analysis.

    Conclusions:

    • The new THz-CT image reconstruction method offers improved phase extraction.
    • The approach enables rapid and effective non-destructive testing of plastic profiles.
    • This technique has significant implications for quality control in materials science and engineering.