Deep-Learning-Based Coronary Artery Calcium Detection from CT Image

被引:10
|
作者
Lee, Sungjin [1 ]
Rim, Beanbonyka [1 ]
Jou, Sung-Shick [2 ]
Gil, Hyo-Wook [2 ]
Jia, Xibin [3 ]
Lee, Ahyoung [4 ]
Hong, Min [5 ]
机构
[1] Soonchunhyang Univ, Dept Software Convergence, Asan 31538, South Korea
[2] Soonchunhyang Univ, Cheonan Hosp, Dept Internal Med, Cheonan 31151, South Korea
[3] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[4] Kennesaw State Univ, Dept Comp Sci, Kennesaw, GA 30144 USA
[5] Soonchunhyang Univ, Dept Comp Software Engn, Asan 31538, South Korea
基金
新加坡国家研究基金会;
关键词
calcium detection; coronary artery calcium score CT; resnet-50; VGG; inception resnet V2; deep learning; image classification; CLASSIFICATION; MODEL;
D O I
10.3390/s21217059
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:15
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