Detectioning of an Asynergy Using the Neural Network

Recently in medical fields, various imaging diagnostic technologies have been studied and used in practical. It is necessary to develop an automatic diagnosing processing system for detecting and diagnosing the internal organs. By the way, cardiac disease is one of the most common cause of death. Therefore, it is necessary to measure cardiac function quantitatively. The processing images are X-ray photograms of the left ventricle by cardiac catheterization. In this paper, we propose the detection system of asynergy in the left ventricle by using a neural network. Furthermore, in order to demonstrate the effectiveness of the proposed method, we show the simulation example by using the real data