Exploring Ultrasound Images of the Carotid Arteries Using Neural Network Tools

• 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; Helena Henriques (Author) FEUP; Rosa Santos (Author) FMUP; Pedro Castro (Author) FMUP; Elsa Azevedo Silva (Author) FMUP

Conference proceedings International

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

Pages: 1571-1576

6th International Conference on Mechanics and Materials in Design

Ponta Delgada/Azores, 26-30 July 2015

Indexing

ISI Proceedings

ISI Web of Knowledge - 0 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Health sciences ; Technological sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

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

No. of pages: 6