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    The Cancer Vision Goggles (CVG) provide a wearable, single-operator system for hands-free near-infrared fluorescence (NIRF) imaging. This standardized approach enhances reproducibility and quantitative analysis in fluorescence-guided surgery.

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    Area of Science:

    • Medical Imaging
    • Biophotonics
    • Surgical Technology

    Background:

    • Near-infrared fluorescence (NIRF) imaging systems often require multiple operators and lack standardized acquisition constraints, limiting reproducibility.
    • Existing systems hinder hands-free operation and quantitative analysis due to inconsistent geometry and data streams.

    Purpose of the Study:

    • To develop a single-operator, wearable Cancer Vision Goggles (CVG) platform for hands-free NIRF guidance.
    • To enable reproducible, quantitative NIRF imaging by standardizing acquisition geometry and preserving a faithful reference stream.

    Main Methods:

    • A head-mounted binocular system integrating synchronized visible/NIR cameras, an optical see-through display, and alignment lasers.
    • Hands-free operation via a Bluetooth foot pedal and GUI for snapshot capture.
    • Performance validation using phantoms and in vivo/ex vivo tumor models.

    Main Results:

    • The CVG system achieved 281 μm spatial resolution at a standardized 50 cm distance.
    • Phantom studies demonstrated high signal-to-background ratios and linear behavior.
    • Consistent tumor-associated NIRF localization was observed in murine and human specimens, with enhanced delineation via real-time thresholding.

    Conclusions:

    • The CVG platform offers a wearable, single-operator NIRF imaging solution with standardized acquisition, integrated safety, and hands-free workflow.
    • This system supports reproducible fluorescence imaging and facilitates the generation of analyzable translational datasets.