• DocumentCode
    1533468
  • Title

    Analysis of the most energetic late arrival in axially transmitted signals in cortical bone

  • Author

    Sasso, Magali ; Talmant, Maryline ; Haiat, Guillaume ; Naili, Salah ; Laugier, Pascal

  • Author_Institution
    Lab. de Mec. Phys., Univ. Paris Est, Creteil, France
  • Volume
    56
  • Issue
    11
  • fYear
    2009
  • fDate
    11/1/2009 12:00:00 AM
  • Firstpage
    2463
  • Lastpage
    2470
  • Abstract
    Axial transmission techniques are particularly suitable for the ultrasonic assessment of cortical bone. The generic term "axial transmission technique" indicates a measurement configuration in which emitters and receivers are placed on the same side of the skeletal site, along the bone axis. Whereas axially transmitted signals are composed of several contributions, only the first arriving signal was shown to be a robust indicator of bone status, because its velocity discriminates osteoporotic from healthy patients in clinical studies. Later arrivals may provide additional bone indicators enhancing diagnostic value, but the precise determination of their velocities is challenging. In this paper, we focus on the most energetic contribution and we applied a singular-value decomposition-based extraction method not yet employed in the domain of bone assessment with the aim of determining the velocity of this contribution. Signals acquired in vitro on human radii, together with academic models, were used to reveal the relationship between the velocity of the most energetic component and bone properties. The velocity of the most energetic component is highly correlated to cortical layer thickness in the in vitro database (R2 = 0.6, P < 10-5; compared with R2 = 0.20, P < 10-2 for the first arriving signal), consistent with a flexural type of wave on regular tubes or plates. Conclusions are in agreement with published papers based on other axial transmission and signal processing approaches.
  • Keywords
    acoustic signal processing; biomedical ultrasonics; bone; diseases; feature extraction; medical signal processing; orthopaedics; singular value decomposition; axial transmission technique; bone assessment; cortical bone; cortical layer thickness; diagnostic value; energetic component; flexural wave; osteoporosis; signal processing; singular-value decomposition based extraction method; ultrasonic assessment; Biomedical signal processing; Birth disorders; Bones; Filtering; In vitro; In vivo; Signal analysis; Signal processing; Ultrasonic variables measurement; Velocity measurement; Algorithms; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Radius; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2009.1333
  • Filename
    5306726