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 a Lukáš PAVLÍKZákladní údaje
Originální název
THE CLASSIFICATION OF THE PROGRESSION OF ATHEROSCLEROTIC PLAQUES IN B-IMAGES BETWEEN COMPUTER IMAGE ANALYSIS USING ECHOGENICITY INDEX AND VISUAL ASSESSMENT
Autoři
BLAHUTA, Jiří (203 Česká republika, domácí), Tomáš SOUKUP (203 Česká republika) a Lukáš PAVLÍK (203 Česká republika, domácí)
Vydání
Bulharsko, 20th International Multidisciplinary Scientific GeoConference SGEM 2020, od s. 341 - 348, 8 s. 2020
Nakladatel
International Multidisciplinary Scientific Geoconference SGEM
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
21100 2.11 Other engineering and technologies
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Kód RIV
RIV/26867184:_____/20:N0000033
Organizační jednotka
Moravská vysoká škola Olomouc
ISBN
978-619-7603-06-4
Klíčová slova anglicky
atherosclerotic plaques; B-imaging; Echo-Index; echogenicity index; plaques echogenicity grade
Štítky
Změněno: 4. 5. 2021 13:35, Ing. Michaela Nováková
Anotace
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.