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The Reproducibility Assessment of Black-White Pixels Ratio in Transcranial B-images of Medial Temporal Lobe in Application for Detectable Feature of Alzheimer's Disease

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F20%3AA0000679" target="_blank" >RIV/47813059:19240/20:A0000679 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://ieeexplore.ieee.org/document/9244520" target="_blank" >https://ieeexplore.ieee.org/document/9244520</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/BIA50171.2020.9244520" target="_blank" >10.1109/BIA50171.2020.9244520</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The Reproducibility Assessment of Black-White Pixels Ratio in Transcranial B-images of Medial Temporal Lobe in Application for Detectable Feature of Alzheimer's Disease

  • Popis výsledku v původním jazyce

    The aim of this paper is analysis the black-white pixels ratio in medial temporal lobe (MTL) brain structure in digitized transcranial B-images using own developed software BMODE Assist. This ratio could be a corresponding marker with the echogenicity grade. In transcranial sonography, the MTL in B-image is anechogenic structure but increased echogenicity of surrounding cortex is detectable in the case of MTL atrophy which predicts Alzheimer's Disease. Totally of 97 B-images were analyzed. The goal is to verify the reproducibility in two. Firstly, between two observers and to show that the ratio is not significantly different between original image and a magnified segment. In parallel in the case of constant brightness increasing. The ratio should be independent on image resolution and brightness. To select MTL, a 20mm square-shaped Region of Interest is used. The correlation coefficient r =0.69 was achieved between two independent, non-experienced observers. Between two non-experienced observers the error of 27.95 % was achieved and between the measurements from the same observer the error was only 11.2 %. Meanwhile, the variance and the range were computed, both almost equal. These results have been judged by an experienced sonographer. In the future, the ratio could be an usable value to determine the MTL atrophy risk using the ratio value and possibility to create a rule-based expert system as a software tool to evaluate probability of Alzheimer's Disease using transcranial sonography.

  • Název v anglickém jazyce

    The Reproducibility Assessment of Black-White Pixels Ratio in Transcranial B-images of Medial Temporal Lobe in Application for Detectable Feature of Alzheimer's Disease

  • Popis výsledku anglicky

    The aim of this paper is analysis the black-white pixels ratio in medial temporal lobe (MTL) brain structure in digitized transcranial B-images using own developed software BMODE Assist. This ratio could be a corresponding marker with the echogenicity grade. In transcranial sonography, the MTL in B-image is anechogenic structure but increased echogenicity of surrounding cortex is detectable in the case of MTL atrophy which predicts Alzheimer's Disease. Totally of 97 B-images were analyzed. The goal is to verify the reproducibility in two. Firstly, between two observers and to show that the ratio is not significantly different between original image and a magnified segment. In parallel in the case of constant brightness increasing. The ratio should be independent on image resolution and brightness. To select MTL, a 20mm square-shaped Region of Interest is used. The correlation coefficient r =0.69 was achieved between two independent, non-experienced observers. Between two non-experienced observers the error of 27.95 % was achieved and between the measurements from the same observer the error was only 11.2 %. Meanwhile, the variance and the range were computed, both almost equal. These results have been judged by an experienced sonographer. In the future, the ratio could be an usable value to determine the MTL atrophy risk using the ratio value and possibility to create a rule-based expert system as a software tool to evaluate probability of Alzheimer's Disease using transcranial sonography.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    20200 - Electrical engineering, Electronic engineering, Information engineering

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2020

  • ISBN

    9781728170749

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    5

  • Strana od-do

    53-57

  • Název nakladatele

    Institute of Electrical and Electronics Engineers Inc.

  • Místo vydání

    Varna, Bulgaria

  • Místo konání akce

    Varna; Bulgaria

  • Datum konání akce

    1. 1. 2020

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku