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C.F. Castro¹, C.A. Conceição António¹, L.C. Sousa¹, R. Santos² and E. Azevedo²

¹IDMEC, Faculty of Engineering, University of Porto, Portugal
²Neurology Department, Hospital S. João and Faculty of Medicine of University of Porto, Portugal

Keywords: optimization, neural network, carotid bifurcation, Doppler ultrasound analysis.

Summary

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.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 105 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: Paper 86 Near-Optimum Carotid Disease Analysis using Ultrasound Image Data C.F. Castro¹, C.A. Conceição António¹, L.C. Sousa¹, R. Santos² and E. Azevedo² ¹IDMEC, Faculty of Engineering, University of Porto, Portugal ²Neurology Department, Hospital S. João and Faculty of Medicine of University of Porto, Portugal doi:10.4203/ccp.105.86 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Near-Optimum Carotid Disease Analysis using Ultrasound Image Data", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 86, 2014. doi:10.4203/ccp.105.86 Keywords: optimization, neural network, carotid bifurcation, Doppler ultrasound analysis. Summary 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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