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
fDate :
11/1/2009 12:00:00 AM
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;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2009.1333