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Describes an automated procedure for boundary detection and 3D reconstruction in echocardiography. Boundary detection is carried out by a combination of knowledge based and dynamic programming procedures. The knowledge based procedure includes a mechanism which controls and evaluates a set of image analysis procedures. The dynamic programming procedure is based on the minimization of a cost function including terms representing echo intensity, edge strength, and boundary continuity in space and time. The 3D reconstruction procedure is based on extracted boundaries from two short-axis and three apical views in conjunction with a geometric model. By replacing conventional bi-plane Simpson method for stroke volume estimation with the authors' model-based scheme, correlation between echocardiographic and dye dilution based estimates increased from 0.69 to 0.88.>
Gustavsson et al. (Tue,) studied this question.