Exploring Ultrasound Images of the Carotid Arteries Using Neural Network Tools

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Catarina Castro (Autor) FEUP; Carlos Alberto Conceição António (Autor) FEUP; Luísa Costa Sousa (Autor) FEUP; Helena Henriques (Autor) FEUP; Rosa Santos (Autor) FMUP; Pedro Castro (Autor) FMUP; Elsa Azevedo Silva (Autor) FMUP

Ata de Conferência Internacional

Título: Proceedings of the 6th International Conference on Mechanics and Materials in Design - M2D2015

Páginas: 1571-1576

6th International Conference on Mechanics and Materials in Design

Ponta Delgada/Azores, 26-30 July 2015

Indexação

ISI Proceedings

ISI Web of Knowledge - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências da Saúde ; Ciências Tecnológicas

Outras Informações

ID Authenticus: P-00K-MZ6

Abstract (EN): This work aims at 3D model reconstruction and hemodynamic analysis of carotid bifurcations based on hospital ultrasound images. The suggested approach addresses B mode image segmentation as a pattern recognition problem and boundary velocity conditions are extracted from Doppler PW mode velocity data. Both tasks are solved using a combination of artificial neural network (ANN) tools. The development of an integrated technique for geometric reconstruction, structured meshing, blood flow simulation and hemodynamic analysis of the carotid bifurcation enables the quantification of the degree of stenosis and promotes the understanding of how hemodynamic factors are involved in atherosclerotic disease.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: SYMP_13: Cardiovascular and Orthopedic Mechanics Design, Livro de resumos: ref: 5430

Nº de páginas: 6