Abstract
The complexity and criticality of heart disease dia gnosis and treatment have frequently attracted the attention of researchers to develop approaches that can handle accurate clinical assessments. One of t hese complexities is measuring the Right Ventricle strok e 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 treat ment and to ensure the success of a cardiac interve ntion as far as possible. Echocardiography is one of the car diac imaging techniques and is considered as the mo st effective imaging technique as it is minimally inva sive, quick and the cheapest method. Many studies h ave been conducted on Right Ventricle assessment from echocariographic images. This review is aimed at presenting the previous technical elements and algo rithms used to measure the ventricle stroke volume from echocardiographic images. The review focuses on the five technical approaches that have been used, whi ch are pre-processing, End-Distally (ED) and End-Systo lic (ES) frame detection, cavity segmentation, the stoke volume measurement and 3D reconstruction. Finally, a summary will conclude this study.
Highlights
This study presents the review of the approachesutilised in steps of an algorithm presented by (Argones et al, 2008; Rahmat et al, 2013), as a part of research work for cavity segmentation from four Dimension Echocardiographic images (4DE) to measure the Right Ventricle (RV) stroke volume as a part of PhD thesis in University Putra Malaysia
Area-length methods is another method used with 2D echocardiography images. This method requires geometrical approximation of RV structure based on ellipsoidal or modified pyramidal model after manual determination for the intracardial boundary Leng et al (1994). As it was reported in many previous researches, the results of measuring the RV volume in 2D images were not accurate, while this method is based on geometrical assumptions; it is very sensitive to the imaging plane and angle.Recently, the Three-Dimensional Echocardiography (3DE) technology, utilized fully sampled matrix array transducers with live 3D mode
From the previous published literature concerning RV volume measurements, we noticed that measuring the RV volume still required intensive manual interaction for RV contour detection
Summary
This study presents the review of the approachesutilised in steps of an algorithm presented by (Argones et al, 2008; Rahmat et al, 2013), as a part of research work for cavity segmentation from four Dimension Echocardiographic images (4DE) to measure the Right Ventricle (RV) stroke volume as a part of PhD thesis in University Putra Malaysia.
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