@article {10.3844/jcssp.2014.2220.2231,
article_type = {journal},
title = {CAVITY SEGMENTATION AND STROKE VOLUME MEASUREMENT METHODS FROM ECHOCARDIOGRAPHIC IMAGES: REVIEW},
author = {Abboud, Anas A. and Rahmat, Rahmita Wirza and Kadiman, Suhaini Bin and Dimon, Mohd Zamrin Bin and Nurliyana, Lili and Saripan, M. Iqbal and Khaleel, Hasan H.},
volume = {10},
number = {11},
year = {2014},
month = {Dec},
pages = {2220-2231},
doi = {10.3844/jcssp.2014.2220.2231},
url = {https://thescipub.com/abstract/jcssp.2014.2220.2231},
abstract = {The complexity and criticality of heart disease diagnosis and treatment have frequently attracted the attention of researchers to develop approaches that can handle accurate clinical assessments. One of these complexities is measuring the Right Ventricle stroke volume. Therefore, different cardiac imaging techniques have been developed to help specialists in their regular clinical work and in the operating theatre to assist in the diagnosis, monitoring of the treatment and to ensure the success of a cardiac intervention as far as possible. Echocardiography is one of the cardiac imaging techniques and is considered as the most effective imaging technique as it is minimally invasive, quick and the cheapest method. Many studies have been conducted on Right Ventricle assessment from echocariographic images. This review is aimed at presenting the previous technical elements and algorithms used to measure the ventricle stroke volume from echocardiographic images. The review focuses on the five technical approaches that have been used, which are pre-processing, End-Distally (ED) and End-Systolic (ES) frame detection, cavity segmentation, the stoke volume measurement and 3D reconstruction. Finally, a summary will conclude this study.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}