• DocumentCode
    2521693
  • Title

    LV STRAIN ESTIMATION FROM 4D ECHOCARDIOGRAPHY

  • Author

    Duncan, James ; Yan, Ping ; Zhu, Yun ; Sinusas, Albert ; Jia, Congxian ; Donnell, Matthew O.

  • Author_Institution
    Biomed. Eng., Yale Univ., New Haven, CT
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    Accurate quantification of regional left ventricular (LV) deformation is crucial for detection of patients with ischemic heart disease. In this paper, we propose an integrated image analysis system that accurately quantifies regional LV strain from four dimensional (3 spatial dimensions and time) echocardiographic (4DE) images. Intramural displacement is estimated using a phase-sensitive-correlation-based speckle tracking algorithm, that derives information from radiofrequency (RF) signal acquired from an ultrasound array, giving access to beam-formed acoustic data. Displacement information at myocardial surfaces is derived from B-mode images using generalized robust point matching (G-RPM) algorithm that takes curvature as an important shape feature and finds the correspondence between points with close curvature values. Intramural and surface displacement information is combined using an integrated system based on a biomechanical model to produce comprehensive, 4D estimates of myocardial strain and strain rate. Preliminary experiments on 3D echocardiographic images with RF signals show the potential of our method
  • Keywords
    biomechanics; biomedical measurement; deformation; diseases; displacement measurement; echocardiography; image matching; medical image processing; physiological models; speckle; tracking; B-mode images; beam-formed acoustic data; biomechanical model; close curvature values; four-dimensional echocardiography; generalized robust point matching; heart disease detection; integrated image analysis system; intramural displacement; ischemic heart disease; left ventricular deformation; left ventricular strain estimation; myocardial strain; myocardial surfaces; phase-sensitive correlation; radiofrequency signal; regional left ventricular strain; shape feature; speckle tracking algorithm; strain rate; surface displacement; ultrasound array; Capacitive sensors; Cardiac disease; Echocardiography; Image analysis; Myocardium; Phase estimation; Phased arrays; RF signals; Radio frequency; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356947
  • Filename
    4193381