• DocumentCode
    2468586
  • Title

    Motion-tracking adaptive persistence and adaptive-size median filter for color Doppler processing in ultrasound systems on multicore platform

  • Author

    Cheng-Zhou Zhan ; Kai-Ting Chang ; Yu-Hao Chen ; Pai-Chi Li ; An-Yeu Wu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    Color Doppler processing in the ultrasound imaging systems is mainly used to observe the blood flow in the region of interest. The desired blood signal will be greatly affected by the speckle noises, and the major design issues are to eliminate these kinds of noises effectively. In this work, we propose the time-domain (1) motion-tracking adaptive persistence and spatial-domain (2) adaptive-size median filter for effectively eliminating the speckle noises, respectively. The proposed two filters have individually 2~3 dB better performance than the referenced algorithms, and the proposed adaptive de-speckle filters can also work together in the same system to obtain even better performances. At last, the proposed signal-processing algorithms are implemented on the multi-core platform, and the property of parallel processing significantly accelerates the computation.
  • Keywords
    image colour analysis; median filters; medical image processing; motion estimation; multiprocessing systems; ultrasonic imaging; adaptive size median filter; color doppler processing; motion tracking adaptive persistence; multicore platform; parallel processing; speckle noises; ultrasound imaging systems; ultrasound systems; Adaptive filters; Filtering algorithms; IIR filters; Noise; Speckle; Ultrasonic imaging; Wiener filter; Color Doppler; Filter; Ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
  • Conference_Location
    Paphos
  • Print_ISBN
    978-1-4244-7269-7
  • Electronic_ISBN
    978-1-4244-7268-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2010.5709570
  • Filename
    5709570