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Automatic computation of left ventricle ejection fraction from dynamic ultrasound images

机译:从动态超声图像自动计算左心室射血分数

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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.
机译:左心室(LV)射血分数(EF)是心脏功能评估的基本参数。但是,基于边界跟踪,EF的手动计算非常耗时,并且极易出现观察者之间和观察者内部的差异。在本文中,我们提出了一种自动进行EF计算的方法,其结果与专家观察员提供的结果一致。分割策略包括两个阶段:第一,通过模拟标准识别目标区域;然后,根据水平集方法的变化形式,将识别出的区域用于活动轮廓的初始化,从而提供LV腔的精确分割。然后根据常规的辛普森规则进行体积计算,最后计算EF。

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