Key result
Automated border detection approaches for three-dimensional echocardiography allow quantification of clinically important parameters and are evolving to achieve robust methods.
This review provides a practical overview of automated border detection methods in 3D echocardiography and highlights future research trends.
May aid efficient 3D echo quantification in practice; leaves open standardization and validation needs before routine adoption.
Several automated border detection approaches for three-dimensional echocardiography have been developed in recent years, allowing quantification of a range of clinically important parameters. In this review, the background and principles of these approaches and the different classes of methods are described from a practical perspective, as well as the research trends to achieve a robust method.
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Leung et al. (2010) studied this question. Automated border detection approaches for three-dimensional echocardiography allow quantification of clinically important parameters and are evolving to achieve robust methods.