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Improved Fourier-transform-based parallel receive beam formation.

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This study introduces an adaptive weighting technique to improve ultrasound imaging quality by reducing sidelobes in Fourier transform (FT)-based parallel beamforming. The method enhances image clarity and suppresses background noise in ultrasonic imaging.

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Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Signal Processing

Background:

  • Fourier transform (FT)-based techniques enhance ultrasonic imaging frame rates.
  • Image quality degradation occurs in FT-based parallel reconstruction due to ignored range focusing delays and wide transmit beams.

Purpose of the Study:

  • To introduce an adaptive weighting technique to reduce sidelobes in FT-derived parallel receive beams.
  • To improve image quality in ultrasonic imaging by addressing limitations of existing FT-based methods.

Main Methods:

  • An adaptive weighting technique using a focusing-quality index derived from spatial spectrum of received aperture data.
  • Direct integration of the adaptive weighting with FT-based parallel beamforming techniques.
  • Validation using real ultrasound data from wire targets and speckle-generating objects.

Main Results:

  • Significant reduction in sidelobes of FT-derived parallel receive beams.
  • Demonstrated effectiveness on both wire targets and speckle-generating objects.
  • Suppression of image background noise, leading to clearer ultrasonic images.

Conclusions:

  • The proposed adaptive weighting technique effectively reduces sidelobes and suppresses noise in FT-based ultrasonic imaging.
  • The method offers a slight increase in system complexity while significantly improving image quality.
  • The technique is applicable to both 2D and 3D ultrasound imaging.