Near-optimum carotid disease analysis using ultrasound image data

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

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

Conference proceedings International

Title: 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

Indexing

ISI Proceedings

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences ; Health sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

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