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http://dx.doi.org/10.6109/jkiice.2020.24.11.1411

Extraction of Blood Flow of Brachial Artery on Color Doppler Ultrasonography by Using 4-Directional Contour Tracking and K-Means Algorithm  

Park, Joonsung (Division of Kinesiology, Silla University)
Kim, Kwang Baek (Division of Computer Software Engineering, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.11, 2020 , pp. 1411-1416 More about this Journal
Abstract
In this paper, we propose a method of extraction analysis of blood flow area on color doppler ultrasonography by using 4-directional contour tracking and K-Means algorithm. In the proposed method, ROI is extracted and a binarization method with maximum contrast as a threshold is applied to the extracted ROI. 4-directional contour algorithm is applied to extract the trapezoid shaped region which has blood flow area of brachial artery from the binarized ROI. K-Means based quantization is then applied to accurately extract the blood flow area of brachial artery from the trapezoid shaped region. In experiment, the proposed method successfully extracts the target area in 28 out of 30 cases (93.3%) with field expert's verification. And comparison analysis of proposed K-Means based blood flow area extraction on 30 color doppler ultrasonography and brachial artery blood flow ultrasonography provided by a specialist yielded a result of 94.27% accuracy on average.
Keywords
Color doppler ultrasonography; Blood flow; K-Means; Accuracy;
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