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An Effective Approach to Plaque Characterization in Ultrasound Images of Carotid Atherosclerosis

Journal: GRD Journal for Engineering (Vol.2, No. 5)

Publication Date:

Authors : ; ; ;

Page : 169-174

Keywords : Atherosclerosis; Carotid Ultrasound; Classification; Discrete Wavelet Transform (DWT); Support Vector Machine (SVM);

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Stroke is one of the most important causes of death in the world and the leading cause of serious, long-term disability. There is an urgent need for better techniques to diagnose patients at risk of stroke. In order to increase the accuracy of the diagnosis, parameters aiming to identify vulnerable lesions have been studied using 2D B-mode ultrasound (US) imaging. This survey intends to summarize the techniques for improvement of Ultrasonographic image quality, extraction of good features and system for plaque classification from ultrasound images using image processing is described. The proposed system involves A Plaque Characterization method that use Wavelet Transform that favors extraction of important ultrasound structure which is associated with several risk factors for atherosclerosis and to develop a system for asymptomatic and symptomatic classification of the atherosclerotic carotid plaque in ultrasound images of the carotid artery. Citation: M. Anthuvan Lydia, Saranathan College of Engineering; V. Ramya ,Saranathan College of Engineering; J. Eindhumathy ,Saranathan College of Engineering. "An Effective Approach to Plaque Characterization in Ultrasound Images of Carotid Atherosclerosis." Global Research and Development Journal For Engineering 25 2017: 169 - 174.

Last modified: 2017-04-21 19:16:31