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Reseach Article

Automatic Border Detection of the Left Ventricle in Parasternal Short Axis View of Echocardiogram

by G. N. Balaji, T. S. Subashini
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 12
Year of Publication: 2013
Authors: G. N. Balaji, T. S. Subashini
10.5120/13449-1348

G. N. Balaji, T. S. Subashini . Automatic Border Detection of the Left Ventricle in Parasternal Short Axis View of Echocardiogram. International Journal of Computer Applications. 77, 12 ( September 2013), 33-37. DOI=10.5120/13449-1348

@article{ 10.5120/13449-1348,
author = { G. N. Balaji, T. S. Subashini },
title = { Automatic Border Detection of the Left Ventricle in Parasternal Short Axis View of Echocardiogram },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 12 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number12/13449-1348/ },
doi = { 10.5120/13449-1348 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:00.573807+05:30
%A G. N. Balaji
%A T. S. Subashini
%T Automatic Border Detection of the Left Ventricle in Parasternal Short Axis View of Echocardiogram
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 12
%P 33-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Echocardiogram is one of the easiest ad widely employed methods that uses ultrasound to evaluate heart muscle, heart valves, and risk for heart disease. Heart failure (HF) can result from any structural or functional cardiac disorder that impairs the ability of the ventricle to fill with or eject blood. Echocardiography represents "the gold standard" in the assessment of left ventricle LV systolic and diastolic dysfunction. Left ventricular dimensions, volumes and wall thicknesses are echocardiographic measurements that are widely used in clinical practice and research. To obtain accurate linear measurements from the echocardiography accurate segmentation of the LV is essential. This paper proposes a method to segment the left ventricular border automatically on the 3-dimensional (2D+t) echocardiogram, where 't' is the time. The 2D image is obtained by extracting the frames from the video of echocardiogram which is further processed to detect the edges of the left ventricle and finally the edge detected frames are converted back into video which will help the cardiologist to visualize the left ventricle in motion. The obtained results are efficient and can be utilized for the purpose of detecting various medical parameters.

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Index Terms

Computer Science
Information Sciences

Keywords

Echocardiogram Left ventricular automatic detection segmentation.