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Author(s): Catarina Castro
Carlos Alberto Conceição António
Luísa Costa Sousa
Rosa Maria Santos
Elsa Silva
Title: Near-optimum carotid disease analysis using ultrasound image data
Issue Date: 2014
Abstract: The aim of this paper is to develop a new set-up to infer on significant disturbances in the downstream flow field in a stenosed carotid artery based on the analysis of clinical ultrasound acquisitions. A patient-specific numerical simulation system for the analysis of arterial blood flow under pulsatile conditions using an artificial neural network (ANN) with optimal configuration was implemented. The ANN topology was regarded as a solution of an optimization problem learning from carotid ultrasound data imaging. An iterative process based on a genetic search found the optimal ANN design, namely the number of nodes of the hidden layer, the weights and the bias of neurons and activation functions. The ANN predictions of patient-specific axial velocity patterns were introduced as boundary conditions for carotid flow simulation under pulsatile conditions. The hemodynamic behaviour of a stenotic carotid artery is addressed. © Civil-Comp Press, 2014.
Subject: Ciências Tecnológicas, Ciências da Saúde, Ciências da engenharia e tecnologias
Technological sciences, Health sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
Source: ECT2014 - The Ninth International Conference on Engineering Computational Technology
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional
FMUP - Artigo em Livro de Atas de Conferência Internacional

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