Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/91177
Author(s): Catarina Castro
Carlos Alberto Conceição António
Luísa Costa Sousa
Title: Integrating ultrasound images using modular artificial neural networks
Issue Date: 2015
Abstract: The aim of the work, described in this paper, was to develop a new set-up to infer on significant disturbances of carotid artery hemodynamics based on the analysis of clinical Doppler acquisitions. A patient-specific numerical simulation system for the analysis of arterial blood flow under pulsatile conditions using a modular artificial neural network with optimal configuration was implemented based on carotid geometry and Doppler hemodynamic features. With arterial blood being addressed as a time series dependent on heart pulse periodicity, splitting parameters given by carotid bifurcation branches were able to allocate the input-output vectors for different flow regimes. Predictions given by the optimal modular artificial neural network model were able to reproduce patient-specific velocity patterns. The hemodynamic behaviour of healthy, low grade and high grade carotid artery stenosis was addressed suggesting further developments for hemodynamic classification. (c) Civil-Comp Press, 2015.
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
URI: https://hdl.handle.net/10216/91177
Source: CC 2015 - Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing
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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