Abstract
One of the most common methods for diagnosing coronary artery disease is the use of the coronary artery calcium score CT. However, the current diagnostic method using the coronary artery calcium score CT requires a considerable time, because the radiologist must manually check the CT images one-by-one, and check the exact range. In this paper, three CNN models are applied for 1200 normal cardiovascular CT images, and 1200 CT images in which calcium is present in the cardiovascular system. We conduct the experimental test by classifying the CT image data into the original coronary artery calcium score CT images containing the entire rib cage, the cardiac segmented images that cut out only the heart region, and cardiac cropped images that are created by using the cardiac images that are segmented into nine sub-parts and enlarged. As a result of the experimental test to determine the presence of calcium in a given CT image using Inception Resnet v2, VGG, and Resnet 50 models, the highest accuracy of 98.52% was obtained when cardiac cropped image data was applied using the Resnet 50 model. Therefore, in this paper, it is expected that through further research, both the simple presence of calcium and the automation of the calcium analysis score for each coronary artery calcium score CT will become possible.
Highlights
Among the various causes of death, stroke and coronary artery disease (CAD) are the leading global causes of death
Statistics from the World Health Organization (WHO) show that in 2019, approximately 17.9 million people died from cardiovascular disease (CVD), accounting for 32% of global deaths, of which 85% were due to heart attacks and strokes
The optimization was conducted by setting the stochastic gradient descent (SGD) momentum to 0.9, weight decay to 0.005, learning frequency to 0.001, and batch size to 8
Summary
Among the various causes of death, stroke and coronary artery disease (CAD) are the leading global causes of death. Since the coronary arteries are blood vessels that supply oxygen, blood, and nutrients to the heart, when the coronary arteries are narrowed, it can cause chest pain (angina), difficulty in breathing, and pain. It can cause pain, dizziness, nausea, and even heart attack [2]. CAD is usually associated with the individual’s lifestyle and habits It can appear in individuals who smoke or drink large amounts of alcohol habitually or regularly, and can appear in people with high cholesterol or high blood pressure and diabetes. Through proper diagnosis and early evaluation, it is possible to reduce the risk of the progression of fatal CAD by lifestyle modification
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