• DocumentCode
    1330045
  • Title

    The variance of quantitative estimates in shear wave imaging: Theory and experiments

  • Author

    Deffieux, T. ; Gennisson, J.-L. ; Larrat, B. ; Fink, M. ; Tanter, M.

  • Author_Institution
    Inst. Langevin, Ondes et Images, Ecole Super. de Phys. et de Chem. Industrielles, France
  • Volume
    59
  • Issue
    11
  • fYear
    2012
  • fDate
    11/1/2012 12:00:00 AM
  • Abstract
    In this paper, we investigate the relationship between the estimated shear modulus produced in shear wave imaging and the acquisition parameters. Using the framework of estimation theory and the Cramer-Rao lower bound applied both to the estimation of the velocity field variance and to the estimation of the shear wave travel time, we can derive the analytical formulation of the shear modulus variance σμ2 using relevant physical parameters such as the shear wave frequency, bandwidth, and ultrasonic parameters. This variance corresponds to the reproducibility of shear modulus reconstruction for a deterministic, quasi-homogeneous, and purely elastic medium. We thus consider the shear wave propagation as a deterministic process which is then corrupted during its observation by electronic noise and speckle decorrelation caused by shearing. A good correlation was found between analytical, numerical, and experimental results, which indicates that this formulation is well suited to understand the parameters´ influence in those cases. The analytical formula stresses the importance of high-frequency and wideband shear waves for good estimation. Stiffer media are more difficult to assess reliably with identical acquisition signal-to-noise ratios, and a tradeoff between the reconstruction resolution of the shear modulus maps and the shear modulus variance is demonstrated. We then propose to use this formulation as a physical ground for a pixel-based quality measure that could be helpful for improving the reconstruction of real-time shear modulus maps for clinical applications.
  • Keywords
    biological tissues; biomechanics; biomedical ultrasonics; data acquisition; demodulation; finite difference time-domain analysis; image reconstruction; image sequences; medical image processing; sequential estimation; shear deformation; shear modulus; speckle; Cramer-Rao lower bound; acquisition parameters; analytical formula stresses; analytical results; biological tissues; clinical applications; elastic medium; electronic noise; estimated shear modulus; estimation theory; experimental results; finite difference time-domain analysis; high-frequency shear waves; high-wideband shear waves; numerical results; pixel-based quality; quantitative estimate variance; quasihomogeneous medium; reconstruction resolution; relevant physical parameters; shear wave bandwidth; shear wave frequency; shear wave imaging; shear wave propagation; shear wave travel time; signal-to-noise ratio acquisition; speckle decorrelation; ultrasonic parameters; velocity field variance; Acoustics; Correlation; Imaging; Noise; Propagation; Speckle; Ultrasonic imaging; Animals; Cattle; Computer Simulation; Elastic Modulus; Elasticity Imaging Techniques; Image Processing, Computer-Assisted; Liver; Models, Biological; Muscle Fibers, Skeletal; Phantoms, Imaging; Reproducibility of Results; Signal-To-Noise Ratio; Viscosity;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2012.2472
  • Filename
    6343266