The measurement of the most common ultrasound parameters, such as aortic area, mitral area and left ventricle (LV)
volume, requires the delineation of the organ in order to estimate the area. In terms of medical image processing this
translates into the need to segment the image and define the contours as accurately as possible. The aim of this work is to
segment an image and make an automated area estimation based on grammar. The entity "language" will be projected to
the entity "image" to perform structural analysis and parsing of the image. We will show how the idea of segmentation
and grammar-based area estimation is applied to real problems of cardio-graphic image processing.
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