D 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 PAVLÍK

Základní 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.