Key result
Automated LVEF computation using mimetic criteria and active contour segmentation matches expert measurements.
Why the study?
Does an automatic method for EF computation provide results in agreement with expert observers?
Does an automatic method for EF computation provide results in agreement with expert observers?
An automated, active contour-based method for calculating left ventricular ejection fraction from ultrasound images shows agreement with expert manual tracing, potentially reducing time and variability.
May ease manual EF tracing burden in echo labs; leaves open prospective validation before clinical adoption.
Left Ventricle (LV) Ejection Fraction (EF) is a fundamental parameter for heart function assessment. Being based on border tracing, however, manual computation of EF is time-consuming and extremely prone to inter-and intraobserver variability. In this paper we present an automatic method for EF computation which provides results in agreement with those provided by expert observers. The segmentation strategy consists of two stages: first, the region of interest is identified by means of mimetic criteria; then, the identified region is used for initialization of an active contour based on a variational formulation of level set methods, which provides accurate segmentation of the LV cavity. Volume calculation is then performed according to the conventional Simpson’s rule and, finally, the EF is computed.
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Barcaro et al. (2008) studied Heart function assessment. Automatic method for EF computation vs. Manual computation by expert observers was evaluated on Agreement with expert observers for EF computation. An automatic method for left ventricle ejection fraction computation using mimetic criteria and active contour segmentation provided results in agreement with expert observers.
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