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    A new compound band imaging (CBI) endoscopy system improves visualization of blood-containing tissues. This theranostics tool enhances endoscopic diagnosis and treatment by clearly showing vascular structures.

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    Area of Science:

    • Medical Imaging
    • Endoscopy Technology
    • Biomedical Engineering

    Background:

    • White light imaging (WLI) has limitations in visualizing subsurface tissue details.
    • Accurate assessment of vascularity is crucial for diagnosing and treating various mucosal diseases.
    • Existing narrow-band imaging techniques can be complex and costly.

    Purpose of the Study:

    • To introduce a novel compound band imaging (CBI) endoscopy system.
    • To enhance visualization and depth differentiation of blood-containing tissues in mucosal structures.
    • To provide a theranostics tool supplementing WLI for improved diagnosis and treatment.

    Main Methods:

    • Utilized a combination of green/red narrow-band and amber wide-band light with rapid switching.
    • Employed a color CMOS sensor to avoid hardware cost increases and alignment issues.
    • Implemented advanced image processing, including HVS-guided contrast enhancement and depth differentiation algorithms.

    Main Results:

    • The CBI system demonstrated enhanced visibility and depth differentiation of vascular networks.
    • Preclinical and clinical trials validated the system's imaging capabilities and methodology.
    • Quantitative analyses confirmed superior performance compared to traditional WLI.

    Conclusions:

    • The integrated CBI system and processing algorithms significantly enhance imaging performance.
    • The system is feasible, effective, and shows potential for clinical translation.
    • Further validation will advance endoscopic diagnostics by clarifying critical vascular structures.