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    Area of Science:

    • Medical Imaging
    • Electrical Engineering
    • Signal Processing

    Background:

    • Handheld and wearable ultrasound devices require low-power, integrated systems for RF data processing.
    • Analog-to-digital converters (ADCs) are crucial for digital beamforming and image reconstruction but are currently too power-hungry for portable devices.

    Purpose of the Study:

    • To investigate methods for reducing the area and power consumption of successive approximation register (SAR) ADCs.
    • To assess the impact of ADC nonidealities on B-mode and color-Doppler ultrasound image quality.

    Main Methods:

    • A Monte Carlo simulation study digitized RF data using a nonideal ADC model.
    • Four SAR-ADC architectures were tested with five different nonidealities.
    • B-mode and color-Doppler images were reconstructed and evaluated using PSNR, SSIM, and CNR metrics.

    Main Results:

    • Ultrasound imaging, particularly B-mode and color-Doppler, demonstrated inherent resilience to ADC nonidealities.
    • Capacitor mismatch was identified as a nonideality with minimal impact on image quality.
    • Relaxed ADC requirements were found to be feasible for practical in-probe digitization.

    Conclusions:

    • Successive approximation register (SAR) ADC nonidealities have a limited effect on ultrasound image quality.
    • This resilience allows for the design of smaller, lower-power ADCs for portable ultrasound systems.
    • The findings support the development of more practical, integrated ultrasound devices for point-of-care diagnostics.