Parametric Estimation of Mean Frequency and Spectral Variance in Color Flow Imaging

  • Sandro Dessì
  • Leonardo Masotti
  • Santina Rocchi
Part of the Acoustical Imaging book series (ACIM, volume 20)

Abstract

Color Doppler imaging for the diagnosis of cardio-vascular diseases has become a widely applied technique in recent years. Fast and efficient techniques capable of evaluating blood flow characteristics using a few signal samples are required for real-time bi-dimensional mapping of blood velocity, flow direction and turbulence. In a Color Doppler system the above three parameters are color coded and superimposed on a morphologic image obtained using a standard echographic technique (B-mode).

Keywords

Autocorrelation Acoustics 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    K.Kristoffersen,B.A.J.Angelsen;A Comparison Between Mean FrequencyEstimators for Multigated Doppler Systems with Serial SignalProcessing;IEEE Trans.Biom.Eng.,Vol.BME-32,No.9,1985.CrossRefGoogle Scholar
  2. 2.
    Y.B.Ahn,S.B.Park,:Estimation of Mean Frequency and Variance of UltrasonicDoppler Signal by Using Second-Order Autoregressive Model;IEEETrans.Ultras.Ferr.Freq.Ctrl.,Vol.38,No.3,1991.Google Scholar
  3. T.Loupas,W.N.McDicken:Low-Order Complex AR Models for Mean and Maximum Frequency Estimation in the Context of Doppler Color FlowMapping;IEEE Trans.Ultras.Ferr.Freq.Ctrl.,Vol.37,No.6,1990.Google Scholar
  4. 4.
    S.M.Kay,S.L.Marple Jr.:Spectrum Analysis-A Modern Perspective;IEEE Proc.,Vol.69,No.11,1981.Google Scholar
  5. 5.
    S.L.Marple Jr.:Digital Spectral Analysis with applications;Prentice HallInc.,Englewood Cliffs, New Jersey, 1987.Google Scholar

Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Sandro Dessì
    • 1
  • Leonardo Masotti
    • 1
  • Santina Rocchi
    • 1
  1. 1.Department of Electronic EngineeringUniversity of FlorenceFirenzeItaly

Personalised recommendations