• DocumentCode
    2479365
  • Title

    P4A-1 Automated Contour Tracking For High Frame-Rate, Full-View Myocardial Elastography In Vivo

  • Author

    Luo, Jianwen ; Konofagou, Elisa E.

  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    1929
  • Lastpage
    1932
  • Abstract
    Using a retrospective ECG-gating technique, an extremely high frame rate (up to 8 kHz) was previously shown achievable for full-view (12times12 mm2) myocardial elastography in murine left ventricles. The purpose in this paper was to isolate the left ventricle from other structures for better displacement and strain visualization. In-vivo experiments were performed in anesthetized normal and infarcted mice. After manual selection of 40-50 points in the first frame of the cine-loop (corresponding to the R-wave), the myocardial contour was automatically tracked across the entire LV and throughout the full cardiac cycle, which correctly segmented the myocardial region of interest (ROI) for better interpretation. High precision of the displacement estimation, due to high frequency (30 MHz) and high frame rate (up to 8 kHz) available with this system, allowed for automated tracking of a manually-initialized myocardial contour over an entire cardiac cycle. The method of manually- initialized, automated contour tracking can further enhance the capability of the elastographic technique with minimal user intervention.
  • Keywords
    biomedical imaging; cardiology; elasticity; strain sensors; automated contour tracking; displacement estimation; high frame-rate; in vivo full-view myocardial elastography; murine left ventricles; retrospective ECG gating technique; strain visualization; Capacitive sensors; Data acquisition; Data visualization; Electrocardiography; Frequency estimation; In vivo; Mice; Myocardium; RF signals; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2007. IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1051-0117
  • Print_ISBN
    978-1-4244-1384-3
  • Electronic_ISBN
    1051-0117
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2007.485
  • Filename
    4410058