NDLI: A new gradient-based algorithm for edge detection in ultrasonic carotid artery images

Content Provider	IEEE Xplore Digital Library
Author	Mahmoud, A. Morsy, A. de Groot, E.
Copyright Year	2010
Description	Author affiliation: Department of Systems and Biomedical Engineering, Cairo University, Egypt (Mahmoud, A.; Morsy, A.) \|\| Department of Vascular Medicine, Academic Medical Centre, Amsterdam, The Netherlands (de Groot, E.)
Abstract	In human clinical studies, digital B-Mode ultrasound images of carotid and femoral artery walls are used to measure Intima-Media Thickness (IMT). IMT represents the arterial intima-media complex and is a validated surrogate parameter for atherosclerosis and cardiovascular disease risk. Conventionally, IMT is obtained by tracing the ultrasound interfaces of the arterial far walls manually. The manual tracing, however, may be replaced by an automated approach in order to decrease image analysis variability and improve consistency and efficiency of the imaging laboratory. In this paper, we present and test a novel automated edge detection method which employs a multi-step gradient based algorithm. The new method principally uses intensity, intensity gradient, and interface continuity of pixels to determine the ultrasound interfaces. In our investigations, we used the far wall of the common carotid artery to test the proposed algorithm. As our results show, the novel algorithm greatly eliminates subjectivity associated with conventional manual tracing and semi-automated gradient methods that employ seed point selection. The new method can therefore have a great potential in atherosclerosis studies and clinical trials.
Starting Page	5165
Ending Page	5168
File Size	508085
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Ultrasonic imaging Image segmentation Image edge detection Ultrasonic variables measurement Manuals Carotid arteries
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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