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    Optical tomography (OPT) systems use sensor views to reconstruct images. Increasing sensor views from 160 to 320 in OPT improved image resolution and reduced reconstruction errors, demonstrating the benefit of higher view counts for image quality.

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    Area of Science:

    • Optics
    • Image Reconstruction
    • Optical Tomography

    Background:

    • Optical tomography (OPT) captures cross-sectional images by measuring light attenuation through objects.
    • Image quality in OPT is influenced by the number of sensor views used in reconstruction.

    Purpose of the Study:

    • To investigate the impact of varying sensor views on image reconstruction quality in an OPT system.
    • To evaluate the performance of a charge-coupled device linear sensor and laser diode-based OPT system.

    Main Methods:

    • Developed an OPT system utilizing a charge-coupled device linear sensor and laser diode.
    • Conducted experiments to detect solid and transparent objects in water.
    • Compared image reconstruction results using 160 and 320 sensor views with filtered linear back projection algorithms.

    Main Results:

    • Image reconstruction with 320 sensor views exhibited a smaller area error compared to 160 views.
    • Higher numbers of sensor views correlated with improved image resolution in experimental and simulation results.

    Conclusions:

    • Increasing the number of sensor views in optical tomography significantly enhances image reconstruction resolution.
    • The evaluated OPT system demonstrates the feasibility of using CCD linear sensors and laser diodes for high-resolution imaging.