Simple and Effective Decision making system for Angiography Analysis

Abstract

Angiography is the X-ray imaging of blood flow in the body. An angiogram can show doctors what's wrong with the patient's blood vessels. It can show how many of the coronary arteries are blocked or narrowed by fatty plaques. By acquiring this information, we can help doctors to determine what treatment is best for the patient and how much danger is caused by the patient's heart condition to their health [1]. The total number of heart attacks occurring in the United States is around 1.5 million (mostly for older age groups), and the number of deaths is around half a million [2]. Cardiovascular disease has seriously affected the lives of modern people [3]. One of the most commonly used imaging methods for diagnosing the cardiovascular disease is Angiography [3](Figure 1-2).

The need for a Matlab-based decision-making system arises in angiography to analyze various parts of the body more quickly and easily. It reduces the manual effort put in by the doctor, with the advantage of giving out results in a matter of few seconds. A machine learning algorithm will also be implemented for the analysis, which will further make the process less intensive and this will overcome the limitations shown by the Matlab-based system [4].