A DECISION SYSTEM FOR PLAQUE DETECTION IN THE CAROTID ARTERY

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

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

Conference proceedings International

Title: Mechanics and Materials in Design

Pages: 1569-1572

M2D2017 - 7 th International Conference on MECHANICS AND MATERIALS IN DESIGN

Albufeira/Portugal, 11-15 June

Indexing

ISI Web of Knowledge - 0 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Health sciences

Other information

Authenticus ID: P-00N-TTQ

Abstract (EN): Carotid Doppler ultrasound and imaging are focused on the visualization and measurement of blood flow providing critical diagnostic information noninvasively about fluid dynamics and abnormalities. Ultrasound imaging is a complicated interplay between physical principles and signal processing methods. In this work a two-step methodology to predict carotid plaque disruption is reported. An automatic technique based on row wise pixel intensity distribution alleviates the laborious and time consuming manual evaluation and classification of the carotid artery intima-media thickness. Selected image-based parameters, extracted from pixel intensity information and associated with risk score of carotid atherosclerotic plaques, were introduced in an artificial neural network model the feasibility of possible development of neurological complications due to plaque disruption.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4