• DocumentCode
    3099297
  • Title

    A study on ultrasound speckle reduction based on stochastic fluctuation of transmitted ultrasound beam

  • Author

    Suzuki, Hajime ; Tagawa, Norio ; Okubo, Kan

  • Author_Institution
    Grad. Sch. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    910
  • Lastpage
    913
  • Abstract
    Speckle suppression methods can be roughly divided into three categories: the first one is based on the statistical characteristics of a speckle, the second one uses multiple echoes measured in the different frequency bands, and the third one uses multiple echoes measured from the different directions respectively. However, each of those has shortcomings to be improved. On the other hand, the research in the engineering application of the mechanism of stochastic resonance has been advanced variously. Stochastic resonance can be viewed as a noise-induced enhancement of the response of a nonlinear system to a weak input signal, and naturally appears in many neural dynamics processes. In this study, we study a speckle suppression method based on the scheme of stochastic resonance.
  • Keywords
    biomedical ultrasonics; image denoising; medical image processing; speckle; stochastic processes; engineering application; frequency bands; multiple echoes; neural dynamics processes; noise-induced enhancement; nonlinear system response; speckle statistical characteristics; speckle suppression methods; stochastic fluctuation; stochastic resonance scheme; transmitted ultrasound beam; ultrasound speckle reduction; weak input signal; Compounds; Frequency measurement; Imaging; Speckle; Transducers; Ultrasonic imaging; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium (IUS), 2013 IEEE International
  • Conference_Location
    Prague
  • ISSN
    1948-5719
  • Print_ISBN
    978-1-4673-5684-8
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2013.0234
  • Filename
    6725178