A GA based approach for boundary detection of left ventricle with echocardiographic image sequences

摘要

In this paper automatic detection of the boundary of left ventricle (LV) in a sequence of cardiac images has been proposed. The contour detection algorithm is formulated as a constrained optimization problem based on active contour model. The optimization problem has been solved using Genetic Algorithm (GA). The result obtained by the proposed GA based approach is compared with conventional nonlinear programming methods. Validation of the computer-generated boundaries is done after comparing them with manually outlined contours by expert observers. The performance of the algorithm is comparable to inter-observer anomalies.