Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23651
Title: Media thickness measurement of the common carotid artery
Authors: Loizou, Christos P. 
Pattichis, Constantinos S. 
Pantziaris, Marios 
Nicolaides, Andrew N. 
Georgiou, Niki 
Kyriakou, Efthyvoulos 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Image segmentation;Ultrasonic variables measurement;Thickness measurement;Carotid arteries;Ultrasonic imaging;Diseases;Impedance;Atherosclerosis;Measurement standards;Cardiovascular diseases;Image analysis;Image segmentation
Issue Date: 22-Oct-2007
Source: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, 22-26 August, Lyon, France
Start page: 2171
End page: 2174
Conference: Annual International Conference of the IEEE Engineering in Medicine and Biology Society 
Abstract: The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of the development of cardiovascular disease (CVD). It was proposed but not thoroughly investigated that the media thickness (MT), its composition and texture may be indicative for identifying the risk of stroke and differentiating between patients with high and low risk. In this study we present an automated method for segmentation of the media layer and measurement of its thickness in ultrasound images of the CCA. The snakes segmentation method was used, and was evaluated on 100 images against manual segmentation. The mean +/- standard deviation (sd) for the manual and the automated IMT measurements were 0.71+/-0.17 mm and 0.67+/-0.12 mm, and for the manual and the automated MT measurements were 0.25+/-0.12 mm and 0.25+/-0.11 mm respectively. There was no significant difference between the manual and the automated measurements. Further research for validating the proposed technique is required and for evaluating it in a larger sample of subjects.
URI: https://hdl.handle.net/20.500.14279/23651
ISBN: 978-1-4244-0788-0
DOI: 10.1109/IEMBS.2007.4352753
Rights: © IEEE
Type: Conference Papers
Affiliation : Intercollege 
University of Cyprus 
Cyprus Institute of Neurology and Genetics 
Vascular Screening and Diagnostic Center 
Frederick University 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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