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Empirical mode decomposition and tissue harmonic imaging.

Michael Bennett1, Steve McLaughlin, Tom Anderson

  • 1School of Engineering and Electronics, University of Edinburgh, Edinburgh, UK. mjb@ee.ed.ac.uk

Ultrasound in Medicine & Biology
|August 9, 2005
PubMed
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Empirical mode decomposition (EMD) offers a novel approach to analyzing nonlinear ultrasound signals. This method provides superior results compared to traditional tissue harmonic imaging (THI) for medical ultrasound processing.

Area of Science:

  • Medical physics
  • Signal processing
  • Nonlinear dynamics

Background:

  • Traditional medical ultrasound methods assume linear systems.
  • Tissue harmonic imaging (THI) utilizes nonlinear wave propagation.
  • THI disperses signal energy into harmonic frequencies.

Purpose of the Study:

  • To apply Empirical Mode Decomposition (EMD) to nonlinear ultrasound echo signals.
  • To interpret the physics of THI using EMD and Hilbert spectrum.
  • To compare EMD performance against conventional THI bandpass filtering.

Main Methods:

  • Empirical Mode Decomposition (EMD) for time-series analysis.
  • Hilbert spectrum for signal interpretation.
  • Processing of ultrasound echo signals through nonlinear media.

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Main Results:

  • EMD successfully processed nonlinear ultrasound echo signals.
  • Hilbert spectrum revealed intrawave frequency modulation in THI.
  • EMD outperformed bandpass filtering in THI, even with suppressed harmonics.

Conclusions:

  • EMD provides a superior method for nonlinear ultrasound signal processing.
  • Intrawave frequency modulation offers an alternative interpretation of THI.
  • EMD enhances understanding and application of nonlinear ultrasound imaging.