• DocumentCode
    3022949
  • Title

    Statistical spectral analysis for echo signals from microbubbles and solid spheres

  • Author

    Yan, Yan ; Hopgood, James R. ; Steel, Robin ; Sboros, Vassilis

  • Author_Institution
    Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh
  • fYear
    2008
  • fDate
    2-5 Nov. 2008
  • Firstpage
    1382
  • Lastpage
    1385
  • Abstract
    The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.
  • Keywords
    Fourier transforms; acoustic signal processing; biological tissues; biomedical ultrasonics; bubbles; echo; medical signal processing; spectral analysis; statistical analysis; Fourier transform; biological tissue; echo signal; insonifying pulse waveform; linear scatter; nonlinear scatter; nonparametric spectral analysis method; parametric estimation; receiver characteristics; solid sphere; statistical signal processing; ultrasound contrast microbubble; Bayesian methods; Filters; Fourier transforms; Frequency estimation; Scattering; Signal processing algorithms; Solids; Spectral analysis; Ultrasonic imaging; Ultrasonic transducers; parametric estimation; receiver chracteristics; spectral analysis; ultrasound contrast microbubbles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2008. IUS 2008. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2428-3
  • Electronic_ISBN
    978-1-4244-2480-1
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2008.0335
  • Filename
    4803468