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Related Experiment Videos

Adaptive imaging using an optimal receive aperture size.

Meng-Lin Li1, Sheng-Wen Huang, Kutay Ustüner

  • 1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan.

Ultrasonic Imaging
|October 20, 2005
PubMed
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An adaptive ultrasound imaging technique improves image quality by using a coherence factor (CF) to distinguish mainlobe signals from sidelobe signals. This method optimizes the receive aperture, reducing degradation caused by tissue sound-velocity variations.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Signal Processing

Background:

  • Off-axis targets and sound-velocity inhomogeneities in human tissue cause phase aberrations, degrading image quality in coherent array imaging systems.
  • These aberrations reduce signal coherence and increase sidelobe levels, negatively impacting diagnostic accuracy in ultrasound imaging.

Purpose of the Study:

  • To propose and evaluate an adaptive receive-aperture technique to mitigate image quality degradation caused by phase aberrations.
  • To enhance mainlobe signals and suppress sidelobe signals by optimizing the receive aperture size based on signal coherence.

Main Methods:

  • An adaptive receive-aperture technique is proposed, utilizing thresholding of the coherence factor (CF) to assess signal coherence.
  • The CF, an index of focusing quality, is used to differentiate mainlobe-dominated signals from sidelobe-dominated signals.

Related Experiment Videos

  • Receive-aperture size is adaptively determined at each imaging position to enhance desired signals and suppress unwanted ones.

    • Main Results:

    • The proposed technique effectively distinguishes mainlobe and sidelobe signals by thresholding the CF.
    • Optimizing receive-aperture size based on CF thresholding significantly reduces image quality degradation caused by sound-velocity inhomogeneities.
    • Simulations and experimental ultrasound data confirm the technique's efficacy, showing improved image quality compared to the parallel adaptive receive compensation algorithm.

    Conclusions:

    • The adaptive receive-aperture technique based on CF thresholding is effective in reducing image quality degradation in ultrasound imaging systems.
    • The method demonstrates robustness concerning signal-to-noise ratio (SNR) and transmit focal depth, and contributes to speckle reduction.
    • This approach offers a superior improvement in image quality compared to existing adaptive compensation algorithms.