Near-optimum carotid disease analysis using ultrasound image data

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Catarina Castro (Autor) FEUP; Carlos Alberto Conceição António (Autor) FEUP; Luísa Costa Sousa (Autor) FEUP; Rosa Maria Santos (Autor) Outra; Elsa Silva (Autor) FMUP

Ata de Conferência Internacional

Título: ECT2014 - The Ninth International Conference on Engineering Computational Technology

ECT2014 - The Ninth International Conference on Engineering Computational Technology

Naples, Italy, 2 a 5 de Setembro de 2014

Indexação

ISI Proceedings

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas ; Ciências da Saúde

Outras Informações

ID Authenticus: P-00K-DTB

DOI: 10.4203/ccp.105.86

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Livro de resumos: paper 86, CD-ROM: 12 páginas