• DocumentCode
    2818299
  • Title

    Automated conduit detection method from a synthetic M-mode using spline curves

  • Author

    Kim, B. ; Stamos, Td ; Soble, JS ; Robergé, J.

  • Author_Institution
    Dept. of Comput. Sci., Indiana Univ., Fort Wayne, IN, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    Previous studies have shown that correct identification of the conduit border is a crucial factor for an accurate stroke volume measurement. This paper describes a method that automatically defines conduit boundaries from a synthetically generated M-mode image of the left ventricular outflow tract (LVOT). Unlike the existing methods that define conduit boundaries based solely on single-frame analysis, this method uses LVOT boundaries of adjacent frames to measure the conduit diameter. By using spline curves that are generated from the neighboring conduit boundaries, this technique estimates the LVOT diameter even in a noisy image where conduit boundaries are not clear. The conduit diameter calculated by this method shows close agreement with manual measurement by two independent observers
  • Keywords
    blood flow measurement; echocardiography; edge detection; medical image processing; splines (mathematics); volume measurement; accurate stroke volume measurement; automated conduit detection method; conduit border; conduit boundaries; left ventricular outflow tract; noisy image; single-frame analysis; spline curves; synthetic M-mode; synthetically generated M-mode image; Biomedical imaging; Blood flow; Cardiology; Computer science; Image generation; Image sampling; Spline; Ultrasonic imaging; Ultrasonic variables measurement; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2000
  • Conference_Location
    Cambridge, MA
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-6557-7
  • Type

    conf

  • DOI
    10.1109/CIC.2000.898445
  • Filename
    898445