• DocumentCode
    129651
  • Title

    Single track location viscosity estimation by maximum likelihood estimation

  • Author

    Langdon, Jonathan H. ; Mcaleavey, Stephen A.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Rochester, Rochester, NY, USA
  • fYear
    2014
  • fDate
    3-6 Sept. 2014
  • Firstpage
    991
  • Lastpage
    996
  • Abstract
    Single Track Location (STL) Acoustic Radiation Force Impulse (ARFI) imaging has been demonstrated in the setting of linear elastic materials. However, biological tissues are viscoelastic causing shearwave dispersion. As a result, the use of cross-correlation to estimate shearwave speed is not optimal. Specifically, the assumption of shift-invariance is violated. Single Track Location Viscosity Estimation (STL-VE) is an alternative reconstruction that overcomes this limitation by applying a viscoelastic model to the reconstruction. Constraints on the problem such as a limited range and number of tracking locations, and a limited number of time samples make naive frequency domain reconstructions challenging. Instead, we introduce an time domain reconstruction based on the maximum likelihood estimator (MLE). Improved accuracy compared to fitting directly to the signal phase data is demonstrated. The effect of geometry assumptions on the estimation results are explored. Error introduced by spectrum based estimation is demonstrated for trunctated data. Finally, the importance of using a single tracking location is demonstrated.
  • Keywords
    acoustic imaging; bioacoustics; biological tissues; biomechanics; biomedical ultrasonics; image reconstruction; maximum likelihood estimation; medical image processing; viscoelasticity; viscosity; AEFI; STL-VE; Single Track Location Viscosity Estimation; acoustic radiation force impulse imaging; linear elastic materials; maximum likelihood estimation; maximum likelihood estimator; shearwave dispersion; shift invariance; signal phase data; single track location viscosity estimation; time domain reconstruction; viscoelastic biological tissues; Acoustics; Liver; Maximum likelihood estimation; Noise; Time-domain analysis; Viscosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium (IUS), 2014 IEEE International
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2014.0243
  • Filename
    6932109