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    Area of Science:

    • Medical Imaging
    • Acoustics
    • Biomedical Engineering

    Background:

    • Conventional ultrasound imaging poorly visualizes acoustically hard objects (e.g., bone, needles) due to their specular reflection properties.
    • Existing delay-and-sum beamforming methods assume a purely scattering medium, limiting their effectiveness with strong reflectors.
    • Specular reflectors, like hard objects, reflect sound predictably, unlike soft tissues that scatter sound diffusely.

    Purpose of the Study:

    • To develop and validate an adaptive beamforming technique for enhanced visualization of acoustically hard objects in ultrasound.
    • To incorporate the physics of specular reflection into ultrasound image processing.
    • To improve the signal-to-noise ratio (SNR) for better target visibility.

    Main Methods:

    • An adaptive beamforming technique was developed, specifically designed to detect and utilize patterns predicted by the law of reflection.
    • The technique was applied to synthetic transmit aperture (STA) imaging sequences.
    • In vitro experiments were conducted to evaluate the performance of the new method.

    Main Results:

    • The adaptive beamforming technique demonstrated a clear improvement in the visibility of targets exhibiting specular reflection.
    • An significant increase in signal-to-noise ratio (SNR) was observed, ranging from 30 to 60 dB.
    • The method proved effective when applied to synthetic transmit aperture imaging.

    Conclusions:

    • The proposed adaptive beamforming method effectively enhances the visualization of acoustically hard objects in ultrasound images.
    • By accounting for specular reflection, the technique overcomes limitations of conventional methods.
    • This approach offers a significant improvement in image quality and diagnostic potential for specific ultrasound applications.