JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Automatic Extraction of Blood Flow Area in Brachial Artery for Suspicious Hypertension Patients from Color Doppler Sonography with Fuzzy C-Means Clustering |
| 영문제목(English Title) |
Automatic Extraction of Blood Flow Area in Brachial Artery for Suspicious Hypertension Patients from Color Doppler Sonography with Fuzzy C-Means Clustering |
| 저자(Author) |
Kwang Baek Kim
Doo Heon Song
Sang-Seok Yun
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| 원문수록처(Citation) |
VOL 16 NO. 04 PP. 0258 ~ 0263 (2018. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Color Doppler sonography is a useful tool for examining blood flow and related indices. However, it should be done by welltrained operator, that is, operator subjectivity exists. In this paper, we propose an automatic blood flow area extraction method from brachial artery that would be an essential building block of computer aided color Doppler analyzer. Specifically, our concern is to examine hypertension suspicious (prehypertension) patients who might develop their symptoms to established hypertension in the future. The proposed method uses fuzzy C-means clustering as quantization engine with careful seeding of the number of clusters from histogram analysis. The experiment verifies that the proposed method is feasible in that the successful extraction rates are 96% (successful in 48 out of 50 test cases) and demonstrated better performance than K-means based method in specificity and sensitivity analysis but the proposed method should be further refined as the retrospective analysis pointed out.
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| 키워드(Keyword) |
Blood flow area
Brachial artery
Color Doppler sonography
Fuzzy C-means
K-means
Pixel clustering
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| 파일첨부 |
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