We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Developing an automatic brachial artery segmentation and bloodstream analysis tool using possibilistic C-means clustering from color Doppler ultrasound images.
- Authors
Joonsung Park; Doo Heon Song; Kwang Baek Kim
- Abstract
Automatic segmentation of brachial artery and blood-flow dynamics are important for early detection of cardiovascular disease and other vascular endothelial malfunctions. In this paper, we propose a software program that is noise tolerant and fully automatic in segmentation of brachial artery from color Doppler ultrasound images. Possibilistic C-Means clustering algorithm is applied to make the automatic segmentation. We use HSV color model to enhance the contrast of bloodstream area in the input image. Our software also provides index of hemoglobin distribution with respect to the blood flow velocity for pathologists to proceed further analysis. In experiment, the proposed method successfully extracts the target area in 59 out of 60 cases (98.3%) with field expert’s verification.
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2021, Vol 11, Issue 3, p2654
- ISSN
2088-8708
- Publication type
Academic Journal
- DOI
10.11591/ijece.v11i3.pp2653-2659