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    Computational ultrasound imaging (cUSi) offers a path to affordable carotid artery (CA) monitoring. This study demonstrates cUSi can achieve high-quality B-mode and power Doppler imaging for CA assessment using a simple transducer array.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Ultrasound Technology

    Background:

    • Traditional ultrasonography for carotid artery (CA) monitoring often requires complex, expensive transducers, limiting accessibility and continuous monitoring.
    • Computational ultrasound imaging (cUSi) presents a novel approach to simplify transducer design while maintaining imaging quality.

    Purpose of the Study:

    • To develop and evaluate a computational ultrasound imaging (cUSi) system for carotid artery (CA) monitoring.
    • To explore affordable transducer configurations for operator-independent CA examination.

    Main Methods:

    • Simulated cUSi system using a linear array setup with an aberration mask and model-based reconstruction.
    • In vitro and in vivo testing of the cUSi system for carotid artery imaging.
    • Comparison of reconstruction algorithms: least-squares with QR (LSQR) decomposition versus matched filtering (MF).

    Main Results:

    • Aberration masks significantly enhanced reconstruction performance and lateral resolution.
    • LSQR decomposition provided more accurate reconstructions than MF.
    • A 12-transceiver configuration with a random aberration mask achieved sufficient quality for CA B-mode and power Doppler imaging (PDI).

    Conclusions:

    • The developed cUSi system enables high-quality carotid artery imaging with a simplified, affordable transducer design.
    • This technology holds promise for continuous, operator-independent monitoring of the carotid artery.