• DocumentCode
    534282
  • Title

    Spectral Simulation Analysis of Doppler Ultrasound Blood Flow Signals from Local Expansion Artery

  • Author

    Wang, Lifang ; Huang, Yaqun ; Tao, Yalin ; Zhou, Yaohua

  • Author_Institution
    Dept. of Autom. Control & Mech. Eng., Kunming Univ., Kunming, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    A simulation approach was proposed to analyze the spectra of Doppler signals in local expansion artery, which can provide a useful guidance for detecting the formation and growth progress of the aneurysms using the Doppler ultrasound technology and forecasting the size of aneurysm. Firstly, by solving Navier-Stokes equations, the velocity distributions in the vessels with various expansion degrees are calculated. Secondly, power spectral density (PSD) of the Doppler signals is estimated according to the relationship of velocity profiles and power spectral density. Finally, Doppler signals are generated using cosine-superposed methods. The results show that the spectra of Doppler signals are similar to those found in practice. Therefore, the proposed approach is useful for simulating the spectra of Doppler ultrasound signals.
  • Keywords
    Doppler measurement; Navier-Stokes equations; biomedical ultrasonics; blood flow measurement; blood vessels; medical disorders; medical signal processing; spectral analysis; velocity measurement; Doppler ultrasound signals; Navier-Stokes equations; aneurysm; blood flow; cosine-superposed methods; local expansion artery; power spectral density; spectral simulation analysis; velocity distributions; velocity profiles; vessels; Aneurysm; Arteries; Blood flow; Diseases; Doppler effect; Mathematical model; Ultrasonic imaging; Doppler signal; Expansion Artery; Power spectral density; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.214
  • Filename
    5635170