Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Carotid ultrasound image analysis using artificial neural networks
Publication

Publications

Carotid ultrasound image analysis using artificial neural networks

Title
Carotid ultrasound image analysis using artificial neural networks
Type
Article in International Conference Proceedings Book
Year
2019
Authors
Scientific classification
CORDIS: Technological sciences > Engineering ; Physical sciences > Mathematics ; Health sciences
FOS: Engineering and technology ; Natural sciences > Mathematics ; Medical and Health sciences
Other information
Resumo (PT):
Abstract (EN): This paper aims at developing an ultrasound-based diagnostic measure quantifying plaque activity and the likelihood of asymptomatic lesions to produce neurological symptoms. Based on echogenicity the methodology has been successfully applied on longitudinal ultrasound images of the carotid artery bifurcation. Transverse ultrasound images incorporate noise, artifacts, shadowing and reverberation. Nevertheless, transverse images are a resource not yet fully explored. The comparison of sequential transverse images minimizes the intrinsic scale variability between operators and ultrasound devices. Based on pixel level tissue classification, the use of an artificial neural network analysis appled to transverse images allows identifying vulnerable or unstable echolucent plaques.
Language: English
Type (Professor's evaluation): Scientific
Notes: Proceedings of the 8th International Conference on Mechanics and Materials Design, M2D2019, Bologna, 4-6 setembro 2019, paper ref: 109, pp.231-234, Ed. J.F. Silva Gomes Shaker A. Meguid e Dario Croccolo, Società Editrice Esculapio s.r.l.
No. of pages: 4
Documents
We could not find any documents associated to the publication with allowed access.
Related Publications

Of the same authors

Wall shear stress description in patient-specific right coronary arteries with stenosis – CFD (2019)
Summary of Presentation in an International Conference
Saraiva, I.S.; Catarina Castro; Carlos Alberto Conceição António; Ladeiras-Lopes, R.; Ferreira, N.D.; Bettencourt, N.; Luísa Costa Sousa; S.I.S. Pinto
WSS Descriptors in a Patient RCA Taking into Account the Non-linear Viscoelasticity of Blood (2020)
Chapter or Part of a Book
Ernesto Romano; Luísa Costa Sousa; Carlos Alberto Conceição António; Catarina Castro; S.I.S. Pinto
The design, properties and performance of shape optimized masonry blocks (2015)
Chapter or Part of a Book
Luísa Costa Sousa; Catarina Castro; Carlos Alberto Conceição António; Hipólito Sousa; Rui Miguel Sousa
Semi-automatic Method of Stent Development for Hemodynamic Simulations in Patient Coronary Arteries with Disease (2022)
Chapter or Part of a Book
L. Matias; C.F. Castro; C.C. António; L.C. Sousa; S.I.S. Pinto
Non-Linear or Quasi-Linear Viscoelastic Property of Blood for Hemodynamic Simulations (2020)
Chapter or Part of a Book
Ernesto Romano; Luísa Costa Sousa; Carlos Alberto Conceição António; Catarina Castro; S.I.S. Pinto

See all (148)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-09 at 03:10:17 | Privacy Policy | Personal Data Protection Policy | Whistleblowing