Clasificación de Segmentos Normales, Hyperkinéticos e Hypokinéticos en Imágenes Ventriculográficas, aplicando el Método de Línea Central

Abstract

ge in diseases such as arterial hypertension, diabetes mellitus and atherosclerosis. This paper reports on the design of a software platform for the estimation of parameters describing the left ventricular wall motion in ventriculographic images. The system focuses on end-diastolic and end-systolic contours. Firstly is carried out a process of manual segmentation by the specialist, then 100 chords generated between two ventricular contours are quantified, which allows the classification of these segments (normal, hyperkinetic and hypokinetic). At last, the testing process is performed using actual data acquired in the Institute Autonomy Hospital Universitary of University of the Andes IAHULA.