D 2017

An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction

BLAHUTA, Jiří; Jakub SKÁCEL and Petr ČERMÁK

Basic information

Original name

An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction

Authors

BLAHUTA, Jiří (203 Czech Republic, guarantor, belonging to the institution); Jakub SKÁCEL (203 Czech Republic, belonging to the institution) and Petr ČERMÁK (203 Czech Republic, belonging to the institution)

Edition

New York, 2017 13TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO), p. 73-78, 6 pp. 2017

Publisher

IEEE

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

RIV identification code

RIV/47813059:19240/17:A0000154

Organization

Filozoficko-přírodovědecká fakulta – Slezská univerzita v Opavě – Repository

ISBN

978-1-5386-4266-5

DOI

UT WoS

000426982100014

Keywords in English

ultrasound; ischemic stroke; B-image; histological patterns; features image processing

Tags

Tags

International impact, Reviewed

Links

ED1.1.00/02.0070, research and development project.
Changed: 26/3/2018 15:56, Mgr. Kamil Matula

Abstract

V originále

This paper is focused on analysis of possible key features of atherosclerotic plaques displayed in B-images. There are two main aims: How to distinct normal and stenosis and how to compare stenosis in B-image in comparison with histological patterns. We have a set of B-images and corresponding histological patterns of atherosclerotic plaques which caused ischemic stroke. The goal of the paper is to investigate which features in B-images should be reliable and clear to distinct normal and stenosis and also which features could be compare with histological to determine ischemic stroke risk. There are some limitations in B-images such as complex structure and noise. Finding the reliable features is crucial step to create an expert system based on the analysis of these features. The output of the expert system should be set to probability of stenosis risk according to features of atherosclerotic plaque properties as rule base. The presented paper is a pilot study.