• DocumentCode
    3119261
  • Title

    Method of Improved Scatterer Size Estimation without Attenuation Known a Priori

  • Author

    Wu, Zongfang ; Liu, Dong C.

  • Author_Institution
    Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Backscattered signals contain frequency-dependent information about tissue microstructures, but when using these signals to construct conventional ultrasound B-mode images, the frequency-dependent information will not be utilized. Scatterer size is an important parameter to differentiate diseased tissue from normal. To get the more correct estimation about scatterer size, the more correct assumption about attenuation must be learned. In most cases, the attenuation estimation must be known a priori, and then the scatterer size is computed by a minimal routine. In most case, the attenuation is known a priori. Any errors in the attenuation using the method will produce errors in the resulting scatterer size estimated. Though there are some methods to improve the scatterer size estimation, but most of them also need the attenuation which is known a priori. A new method is proposed in this paper by an analysis of the in vivo backscattered power spectrum, to improve scatterer size estimation. Here the attenuation and the scatterer size were estimated simultaneously, so the attenuation shouldn´t be known a priori. The attenuation and scatterer size can be found by searching the attenuation and scatterer values while operating the minimal routine in the new method. Simulations were done to test the new method, the transducer had 8 MHz center frequency, 4 f-number and 5 cm focal length, the attenuation was 0.5 dB/cm/MHz. The result showed that the scatter size (error less than 20%) estimation could be found with large window length (6-12 mm), and a better estimation could be found if concerning both total and local attenuation.
  • Keywords
    backscatter; biological tissues; biomedical ultrasonics; medical signal processing; parameter estimation; attenuation; backscattered signals; diseased tissue; frequency-dependent information; improved scatterer size estimation; tissue microstructures; ultrasound B-mode images; Attenuation measurement; Computer science; Frequency estimation; Frequency measurement; Microstructure; Physics; Power measurement; RF signals; Scattering; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5516356
  • Filename
    5516356