BLAHUTA, Jiří, Tomáš SOUKUP and Lukáš PAVLÍK. THE CLASSIFICATION OF THE PROGRESSION OF ATHEROSCLEROTIC PLAQUES IN B-IMAGES BETWEEN COMPUTER IMAGE ANALYSIS USING ECHOGENICITY INDEX AND VISUAL ASSESSMENT. Online. In 20th International Multidisciplinary Scientific GeoConference SGEM 2020. Bulharsko: International Multidisciplinary Scientific Geoconference SGEM, 2020, p. 341 - 348. ISBN 978-619-7603-06-4. Available from: https://dx.doi.org/10.5593/sgem2020/2.1/s07.044.
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Basic 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
Original language English
Type of outcome Proceedings paper
Field of Study 21100 2.11 Other engineering and technologies
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/26867184:_____/20:N0000033
Organization unit Moravian Business College Olomouc
ISBN 978-619-7603-06-4
Doi http://dx.doi.org/10.5593/sgem2020/2.1/s07.044
Keywords in English atherosclerotic plaques; B-imaging; Echo-Index; echogenicity index; plaques echogenicity grade
Tags RIV20
Changed by Changed by: Ing. Michaela Nováková, učo 5293. Changed: 4/5/2021 13:35.
Abstract
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.
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