Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/119169
Author(s): Catarina Castro
Luísa Costa Sousa
Carlos Alberto Conceição António
Title: A DECISION SYSTEM FOR PLAQUE DETECTION IN THE CAROTID ARTERY
Issue Date: 2017
Abstract: Carotid Doppler ultrasound and imaging are focused on the visualization and measurement of blood flow providing critical diagnostic information noninvasively about fluid dynamics and abnormalities. Ultrasound imaging is a complicated interplay between physical principles and signal processing methods. In this work a two-step methodology to predict carotid plaque disruption is reported. An automatic technique based on row wise pixel intensity distribution alleviates the laborious and time consuming manual evaluation and classification of the carotid artery intima-media thickness. Selected image-based parameters, extracted from pixel intensity information and associated with risk score of carotid atherosclerotic plaques, were introduced in an artificial neural network model the feasibility of possible development of neurological complications due to plaque disruption.
Subject: Ciências da Saúde, Ciências da engenharia e tecnologias
Health sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://hdl.handle.net/10216/119169
Source: Mechanics and Materials in Design
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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