2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT) (2012)
Nov. 26, 2012 to Nov. 28, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACSAT.2012.72
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.
echocardiography, image segmentation, medical image processing
R. W. Rahmat, F. A. Dawood, S. B. Kadiman, L. N. Abdullah and M. D. Zamrin, "Border Detection of Ventricle Wall Motion in Echocardiographic Images: A Survey," 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), Kuala Lumpur, 2013, pp. 486-490.