Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23630
Title: Atherosclerotic carotid wall segmentation in ultrasound images using Markov random fields
Authors: Petroudi, Styliani H. 
Loizou, Christos P. 
Pattichis, Constantinos S. 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Intima-media thickness;Automatic intima media complex;Markov random field;Biomedical ultrasonics;Blood vessels
Issue Date: Jan-2010
Source: 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010, 3-5 November, Corfu, Greece
Conference: IEEE International Conference on Information Technology and Applications in Biomedicine 
Abstract: This work explores the segmentation of the intima-media complex (IMC) of the common carotid artery (CCA) wall for the evaluation of the intima media thickness (IMT) on B-mode ultrasound images. The IMT provides important clinical information for the evaluation of the risk of developing atherosclerosis. The algorithm begins with speckle removal, which is followed by the use of a Hough transform for boundary detection and image normalization. The corresponding results provide the initial statistical information needed for a Markov random field (MRF) segmentation. The method lends itself to the development of a fully automatic method for the delineation of the IMC. The mean and standard deviation of the automatically segmented results are 0.7855 and 0.1738mm and the corresponding value for the ground truth IMT are 0.7959 and 0.1875mm. The Wilcoxon rank sum test shows no significant differences. Future work will investigate the proposed method using a larger number of tissue classes and on more subjects.
URI: https://hdl.handle.net/20.500.14279/23630
ISBN: 978-1-4244-6561-3
DOI: 10.1109/ITAB.2010.5687685
Rights: © IEEE
Type: Conference Papers
Affiliation : University of Cyprus 
Intercollege 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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