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http://dx.doi.org/10.12673/jkoni.2013.17.01.115

Automatic Carotid Artery Image Segmentation using Snake Based Model  

Chaudhry, Asmatullah (School of Electronics and Computer Engineering, Chonnam National University)
Hassan, Mehdi (PIEAS)
Khan, Asifullah (PIEAS)
Choi, Seung Ho (Department of Computer Science, Dongshin University)
Kim, Jin Young (School of Electronics and Computer Engineering, Chonnam National University)
Publication Information
Journal of Advanced Navigation Technology / v.17, no.1, 2013 , pp. 115-122 More about this Journal
Abstract
Disease diagnostics based on medical imaging is getting popularity day by day. Presence of the atherosclerosis is one of the causes of narrowing of carotid arteries which may block partially or fully blood flow into the brain. Serious brain strokes may occur due to such types of blockages in blood flow. Early detection of the plaque and taking precautionary steps in this regard may prevent from such type of serious strokes. In this paper, we present an automatic image segmentation technique for carotid artery ultrasound images based on active contour approach. In our experimental study, we assume that ultrasound images are properly aligned before applying automatic image segmentation. We have successfully applied the automatic segmentation of carotid artery ultrasound images using snake based model. Qualitative comparison of the proposed approach has been made with the manual initialization of snakes for carotid artery image segmentation. Our proposed approach successfully segments the carotid artery images in an automated way to help radiologists to detect plaque easily. Obtained results show the effectiveness of the proposed approach.
Keywords
Brain; Plaque detection; Snakes model; Carotid Artery Image; Image segmentation;
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