Detailed Information on Publication Record
2020
THE CLASSIFICATION OF THE PROGRESSION OF ATHEROSCLEROTIC PLAQUES IN B-IMAGES BETWEEN COMPUTER IMAGE ANALYSIS USING ECHOGENICITY INDEX AND VISUAL ASSESSMENT
BLAHUTA, Jiří, Tomáš SOUKUP and Lukáš PAVLÍKBasic information
Original name
THE CLASSIFICATION OF THE PROGRESSION OF ATHEROSCLEROTIC PLAQUES IN B-IMAGES BETWEEN COMPUTER IMAGE ANALYSIS USING ECHOGENICITY INDEX AND VISUAL ASSESSMENT
Authors
BLAHUTA, Jiří (203 Czech Republic, belonging to the institution), Tomáš SOUKUP (203 Czech Republic) and Lukáš PAVLÍK (203 Czech Republic, belonging to the institution)
Edition
Bulharsko, 20th International Multidisciplinary Scientific GeoConference SGEM 2020, p. 341 - 348, 8 pp. 2020
Publisher
International Multidisciplinary Scientific Geoconference SGEM
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
21100 2.11 Other engineering and technologies
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/26867184:_____/20:N0000033
Organization unit
Moravian Business College Olomouc
ISBN
978-619-7603-06-4
Keywords in English
atherosclerotic plaques; B-imaging; Echo-Index; echogenicity index; plaques echogenicity grade
Tags
Změněno: 4/5/2021 13:35, Ing. Michaela Nováková
Abstract
V originále
The aim of the presented paper is to give a review of the classification of atherosclerotic plaques between two different input values; using computer image analysis and a visual assessment by an experienced sonographer. In the case of computer analysis, the echogenicity index (Echo-Index) is used. In the case of visual assessment, echogenicity of the plaques have been evaluated from histological patterns. In the case of computer image analysis, B-images have been processed. To computer image analysis, our developed software B-Mode Assist has been used. For this study, totally of 278 images were analyzed. The plaques were classified into four echogenicity classes by an experienced sonographer. Meanwhile, the images were analyzed by two non-experienced observers using B-Mode Assist software designed for echogenicity index evaluation in B-images. According to the echogenicity index value, images were also classified into 4 classes. The main goal was to observe how many images were classified to the same class using visual assessment and using Echo-Index from ultrasound B-image. Achieved results from initial study showed there is no significant marker for reliable classification the plaques in B-images.