• DocumentCode
    2500196
  • Title

    Automatic Time Gain Compensation in Ultrasound Imaging System

  • Author

    Tang, Mingwang ; Luo, Fei ; Liu, Dongc

  • Author_Institution
    Comput. Sci. Coll., Sichuan Univ., Chengdu, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many automatic time gain compensations are proposed, but most of them depart from the assumption that ultrasound signals are homogenous attenuated across examined tissues, which is often violated. In real ultrasound system, the large attenuation variation between different types of tissues confused the attenuation compensation. In this paper, considering the frequency shift effect, we propose the quadratic least square fitting to estimate the attenuation profile. Further, as for the large attenuation variations in image, especially around the anechoic regions, we proposed a new algorithm by adding two power functions to control the gain range and reduce the affluence of overwhelming gain value caused by noise and edges around anechoic regions. Test results of phantoms and ultrasound images show the new algorithm could effectively adapt to the large attenuation variation and provide a desired uniform image.
  • Keywords
    biological tissues; biomedical ultrasonics; curve fitting; least squares approximations; medical image processing; phantoms; anechoic region; attenuation profile estimation; automatic time gain compensation; frequency shift effect; phantom; quadratic least square fitting; tissue examination; ultrasound imaging system; Attenuation; Biological tissues; Bladder; Computer science; Educational institutions; Frequency estimation; Imaging phantoms; Least squares approximation; Noise reduction; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162432
  • Filename
    5162432