International Journal of Electrical and Computer Engineering
Vol 8, No 2: April 2018

Automatic Segmentation of Brachial Artery based on Fuzzy C-Means Pixel Clustering from Ultrasound Images

Joonsung Park (Kyung-Hee University)
Doo Heon Song (Yong-In SongDam College)
Hosung Nho (Wellness IT Association & Corp)
Hyun-Min Choi (Kyung Hee University)
Kyung-Ae Kim (Kyung Hee University)
Hyun Jun Park (Pusan National University)
Kwang Baek Kim (Silla University)

Article Info

Publish Date
01 Apr 2018

Abstract

Automatic extraction of brachial artery and measuring associated indices such as flow-mediated dilatation and Intima-media thickness are important for early detection of cardiovascular disease and other vascular endothelial malfunctions. In this paper, we propose the basic but important component of such decision-assisting medical software development – noise tolerant fully automatic segmentation of brachial artery from ultrasound images. Pixel clustering with Fuzzy C-Means algorithm in the quantization process is the key component of that segmentation with various image processing algorithms involved. This algorithm could be an alternative choice of segmentation process that can replace speckle noise-suffering edge detection procedures in this application domain.

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Journal Info
International Journal of Electrical and Computer Engineering
Website

Abbrev

IJECE

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...