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Related Experiment Videos

Phasing out speckle.

J C Gatenby1, J C Hoddinott, S Leeman

  • 1Department of Medical Engineering and Physics, King's College School of Medicine and Dentistry, Dulwich Hospital, London, UK.

Physics in Medicine and Biology
|November 1, 1989
PubMed
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This study introduces a new method to detect and correct destructive interference, or speckle, in ultrasound images. The frequency diversity technique processes individual A-lines for real-time speckle reduction.

Area of Science:

  • Ultrasound imaging
  • Signal processing
  • Medical physics

Background:

  • Speckle in ultrasound images is an interference artefact that degrades image quality.
  • Conventional speckle reduction methods like averaging or filtering are applied post-acquisition.
  • These methods can reduce resolution and are not always effective on individual signal lines (A-lines).

Purpose of the Study:

  • To develop a novel method for detecting and correcting speckle artefacts within individual ultrasound A-lines.
  • To propose a technique that enables real-time speckle reduction.
  • To demonstrate the principles of the frequency diversity technique.

Main Methods:

  • Utilizing the instantaneous frequency of backscattered echo sequences to identify destructive interference.

Related Experiment Videos

  • Applying the frequency diversity technique for local artefact correction on individual A-lines.
  • Illustrating the method's principles with a two-reflector model.

    • Main Results:

    • The instantaneous frequency accurately pinpoints destructive interference locations within A-lines.
    • The frequency diversity technique allows for local speckle correction.
    • The A-line processing approach is suitable for real-time implementation.

    Conclusions:

    • A new, A-line based method for speckle detection and correction in ultrasound imaging has been demonstrated.
    • This frequency diversity technique offers a pathway to real-time speckle reduction.
    • The findings pave the way for improved ultrasound image quality and diagnostic accuracy.