Key result
Automated level-set method matches expert visual reading for estimating LVEF.
The Level Set method provides an automated approach to detect end-diastole and end-systole frames in 2D echocardiography for evaluating cardiac function.
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May support automated EF quantification in echocardiography; leaves open prospective validation before clinical adoption.
BACKGROUND: Identifying End-Diastole (ED) and End-Systole (ES) frames is highly important in the process of evaluating cardiac function and measuring global parameters accurately, such as Ejection Fraction (EF), Cardiac Output (CO) and Stroke Volume. OBJECTIVES: The current study aimed to develop a new method based on measuring volume changes in Left Ventricle (LV) during cardiac cycle. MATERIAL AND METHODS: For this purpose, the Level Set method was used both in detecting endocardium border and quantifying cardiac function of all frames. RESULTS: Demonstrating LV volumes displays ED and ES frames and the volumes used in calculating the required parameters. CONCLUSIONS: Since ES and ED frames exist in iso-volumic phases of the cardiac cycle with minimum and maximum values of LV volume signals, such peaks can be utilized in finding related frames.
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Darvishi et al. (2012) studied Echocardiography evaluation (n=44). Level-set method for automatic detection vs. Expert visual reading (Gold Standard) was evaluated on Ejection Fraction (EF) estimation agreement (p=0.8057). The automated level-set method for detecting end-diastole and end-systole frames accurately estimated ejection fraction with no significant difference compared to expert visual reading.
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