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Left ventricular segmentation is essential for measuring left ventricularfunction indices. Segmentation of one or several images requires an initialguess of the contour. It is hypothesized here that creating an initial guess byfirst detecting anatomical markers, would lead to correct detection of theendocardium. The first step of the algorithm presented here includes automaticdetection of the mitral valve. Next, the apex is detected in the same frame.The valve is then tracked throughout the cardiac cycle. Contours passing fromthe apex to each valve corner are then found using a dynamic programmingalgorithm. The resulting contour is used as an input to an active contouralgorithm. The algorithm was tested on 21 long axis ultrasound clips and showedgood agreement with manually traced contours. Thus, this study demonstratesthat detection of anatomic markers leads to a reliable initial guess of theleft ventricle border.

Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images