• DocumentCode
    2170571
  • Title

    Border Detection of Ventricle Wall Motion in Echocardiographic Images: A Survey

  • Author

    Rahmat, R.W. ; Dawood, F.A. ; Kadiman, S.B. ; Abdullah, Lili Nurliyana ; Zamrin, M.D.

  • Author_Institution
    Dept. of Multimedia FSKTM, Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2012
  • fDate
    26-28 Nov. 2012
  • Firstpage
    486
  • Lastpage
    490
  • Abstract
    Echocardiography imaging is one of the most widely used diagnostic tests for cardiovascular diseases which allow direct visualization of cardiac structure and ventricles wall motion. It can provide useful information, including the size and shape of the heart. An accurate method for border detection of ventricle wall motion is still important clinical diagnosis tool. Therefore, most of common clinical parameters measurement has become a difficult challenge for many interested researchers especially in the field of Computer Aided Diagnostic (CAD). This paper reviews a number of investigative methods for border detection focusing on segmentation techniques developed in Two-dimensional echocardiographic images.
  • Keywords
    echocardiography; image segmentation; medical image processing; 2D echocardiographic images; CAD; border detection; cardiac structure; cardiovascular diseases; clinical diagnosis tool; clinical parameters measurement; computer aided diagnostic; image segmentation; ventricle wall motion; QLAB software; border detection; contrast enhancement; segmentation; two-dimentional echocardiography; wall motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-5832-3
  • Type

    conf

  • DOI
    10.1109/ACSAT.2012.72
  • Filename
    6516403