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Related Experiment Videos

Sample volume shape for pulsed-flow velocity estimation using a linear array.

Aaron H Steinman1, Elaine Y L Lui, K Wayne Johnston

  • 1Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.

Ultrasound in Medicine & Biology
|December 8, 2004
PubMed
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This study defines the ultrasound sample volume (SV) based on signal energy thresholds, improving accuracy for blood velocity estimation. The findings clarify how SV energy distribution is affected by various parameters in pulsed transducer arrays.

Area of Science:

  • Ultrasound physics
  • Medical imaging
  • Biomedical engineering

Background:

  • Existing sample volume (SV) definitions often rely on axisymmetrical transducer geometries.
  • Modern pulsed transducer arrays require definitions accounting for signal/noise thresholds.

Purpose of the Study:

  • To define the sample volume (SV) based on received signal energy thresholds.
  • To simulate and analyze SV characteristics for linear phased-array transducers.
  • To understand the impact of various parameters on SV energy distribution for improved ultrasound applications.

Main Methods:

  • Defined SV as the spatial region where scatterers contribute significantly to gated received-signal energy.
  • Simulated SVs using custom software for a 1-D beam-forming array with a linear phased-array transducer.

Related Experiment Videos

  • Investigated effects of transmit pulses, receive gates, apertures, depths, and lateral foci.

    • Main Results:

    • The proposed SV definition is consistent with modern pulsed transducer arrays and signal/noise threshold requirements.
    • Beam-steered SV features are qualitatively similar to non-steered SVs at equivalent beam-flow angles.
    • SV energy distribution is demonstrably affected by transmit pulses, receive gates, apertures, depths, and lateral foci.

    Conclusions:

    • The study provides a clearer understanding of SV energy distribution influenced by multiple parameters.
    • Results have significant implications for ultrasound-based blood velocity estimation.
    • Improved SV localization within blood vessels and understanding of velocity spectrum origin are facilitated.