Journal of Computer Science

Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection

Samaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman, Mohd Zamrin Dimon, Fatima Khalid and Rohollah Moosavi Tayebi

DOI : 10.3844/jcssp.2015.957.970

Journal of Computer Science

Volume 11, Issue 9

Pages 957-970

Abstract

Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have proposed innovative ideas that they proved certain clinical advantages or potential especial role to the echocardiography segmentation task. The contribution of the paper would be serving as a tutorial of the field for both clinicians and technologists, providing large number of segmentation techniques in a comprehensive and systematic manner and critically review recent approaches in terms of their performance and degree of clinical evaluation with respect to the final goal of cardiac functional analysis.

Copyright

© 2015 Samaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman, Mohd Zamrin Dimon, Fatima Khalid and Rohollah Moosavi Tayebi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.