• DocumentCode
    3498256
  • Title

    In vivo characterization of long-bone in animal model by two ultrasonic scattering parameters: AIB and FSAB

  • Author

    Pereira, A.J.F. ; Matusin, D.P. ; Rosa, P.T.C.R. ; Machado, C.B. ; Ferreira, M.L. ; Schanaider, A. ; Von Krüger, A. ; Pereira, W.C.A.

  • Author_Institution
    Biomed. Eng. Program, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2011
  • fDate
    March 28 2011-April 1 2011
  • Firstpage
    354
  • Lastpage
    358
  • Abstract
    Quantitative Ultrasound (QUS) is a new possibility for non-ionizing diagnosis and monitoring of bone diseases which are usually monitored by radiographs. In this work, an ultrasound (US) pulse-echo method was proposed to in vivo signal acquisition for long bone characterization in an animal model. Two parameters, one related to US backscattering from bone and the other to US reflection at the muscle/bone interface, were calculated in both femurs of seven rats and the results showed that their values statistically belong to the same group. This is indication that the proposed protocol has potential to characterize normal in vivo long bones in animal models.
  • Keywords
    acoustic signal detection; acoustic signal processing; biomedical ultrasonics; bone; medical signal processing; muscle; patient monitoring; physiological models; animal model; bone disease monitoring; bone interface; femurs; in vivo signal acquisition; long-bone characterization; muscle interface; nonionizing diagnosis; radiographs; rats; ultrasonic scattering parameters; ultrasound pulse-echo method; Acoustics; Animals; Backscatter; Biological tissues; Bones; Leg; Ultrasonic imaging; Backscattering; bone; quantitative ultrasound; reflection; tissue characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Health Care Exchanges (PAHCE), 2011 Pan American
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-61284-915-7
  • Type

    conf

  • DOI
    10.1109/PAHCE.2011.5871925
  • Filename
    5871925