NDLI: Media Thickness Measurement of the Common Carotid Artery

Content Provider	IEEE Xplore Digital Library
Author	Loizou, C.P. Pattichis, C.S. Pantziaris, M. Nicolaides, A. Georgiou, N. Kyriakou, E.
Copyright Year	2007
Description	Author affiliation: Univ. of Cyprus, Nicosia (Loizou, C.P.; Pattichis, C.S.)
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 plusmn standard deviation (sd) for the manual and the automated IMT measurements were 0.71+0.17 mm and 0.67plusmn0.12 mm, and for the manual and the automated MT measurements were 0.25plusmn0.12 mm and 0.25plusmn0.11 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.
Starting Page	2171
Ending Page	2174
File Size	379888
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4352753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Thickness measurement Carotid arteries Image segmentation Ultrasonic variables measurement Ultrasonic imaging Computer science Cardiovascular diseases Atherosclerosis Impedance Measurement standards
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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