Classification of plaque in ultrasonic images of human arteries

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/24922
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Type: Examensarbete för masterexamen
Master Thesis
Title: Classification of plaque in ultrasonic images of human arteries
Authors: Faraj, Maycel Isaac
Walhgren, Daniel
Abstract: Cardiovascular disease is a major health problem in the industrialised world. The most common underlying disease is the atherosclerosis that can lead to myocardial infarction, in the brain to cerebral infarction or stroke, and in the peripheral vascularutrearteries to gangrene and loss of function. Investigation of the carotid arteries by using ultrasound has become a predominant tool during the last decade. The parameter most frequently used in the clinical diagnosis today is the degree of plaque, determined by ultrasound duplex examination. In the process of developing a help tool for subjective visual classification, we introduce a study on the correlation between subjective visual classification and statistical and neural-network based classification on B-mode ultrasound images of atherosclerotic plaque. Since the subjective classification is a very difficult visual issue of categorising different types of plaque, it is easily solved by the computer help toll classification. Experiments conducted so far yield encouraging results.
Keywords: Elektroteknik;Electrical engineering
Issue Date: 2003
Publisher: Chalmers tekniska högskola / Extern
Chalmers University of Technology / External
URI: https://hdl.handle.net/20.500.12380/24922
Collection:Examensarbeten för masterexamen // Master Theses



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