• DocumentCode
    3229497
  • Title

    Generalized Bayesian speckle tracking applied to strain and ARFI displacements

  • Author

    Byram, Brett ; Trahey, Gregg ; Palmeri, Mark

  • Author_Institution
    Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2011
  • fDate
    18-21 Oct. 2011
  • Firstpage
    1152
  • Lastpage
    1155
  • Abstract
    Biased estimators with mean square error surpassing that described by the Cramer-Rao lower bound are implemented using Bayes´ Theorem. In order to use Bayes´ Theorem a new likelihood function was developed specifically for the ultrasound time-delay estimation problem. Results are shown for bulk, step, compression, and ARFI displacements.
  • Keywords
    Bayes methods; biomedical ultrasonics; speckle; ultrasonic measurement; ARFI displacement; Cramer-Rao lower bound; biased estimators; generalized Bayesian speckle tracking; likelihood function; mean square error; strain displacement; ultrasound time-delay estimation problem; Frequency response; Kernel; Maximum likelihood estimation; Signal to noise ratio; Strain; Thermal noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium (IUS), 2011 IEEE International
  • Conference_Location
    Orlando, FL
  • ISSN
    1948-5719
  • Print_ISBN
    978-1-4577-1253-1
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2011.0283
  • Filename
    6293386
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3229497