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 |
CORE Recommender
SCOPUSTM
Citations
50
5
checked on Feb 1, 2024
Page view(s)
268
Last Week
0
0
Last month
4
4
checked on Dec 22, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License