Integrating ultrasound images using modular artificial neural networks

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Catarina Castro (Author) FEUP; Carlos Alberto Conceição António (Author) FEUP; Luísa Costa Sousa (Author) FEUP

Conference proceedings International

Title: CC 2015 - Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing

Pages: 1-11

CC 2015 - Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing

Prague, Czech Republic, 1-4 September 2015

Indexing

ISI Proceedings

Scopus - 0 Citations

Scientific classification

CORDIS: Technological sciences ; Health sciences

FOS: Engineering and technology

Other information

Authenticus ID: P-00K-EMJ

DOI: 10.4203/ccp.108.284

Abstract (EN): 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. © Civil-Comp Press, 2015.

Language: English

Type (Professor's evaluation): Scientific

Notes: Special Session: Neural Networks in Engineerng, Livro de resumos: paper 284

No. of pages: 11