A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F14%3A%230005538" target="_blank" >RIV/47813059:19240/14:#0005538 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest

Popis výsledku v původním jazyce

The goal of this presented paper is to show and explain how to measure echogenicity level in B-MODE ultrasound images. We present a method which we use in practice in our developed application in MATLAB. The application is usable in medical practice to echogenicity analysis in B-images. The core of the application is based on echogenicity level analysis in selectable area of interest which can be select manually or by semi-automatic algorithm. We use the application in case of transcranial B-MODE imagesbut it is usable in another cases in which are used B-images. The application is based on measuring of echogenicity level by binary tresholding algorithm and pattern recognition inside area of interest and subsequently is computed real echogenic area for all levels of intensity from 0 to 255 as 8bit depth. The results were verified by an experienced neurosonologist and also by independent statistical analysis by 2 independent observers. The method was proved for detection pathology in s

Název v anglickém jazyce

A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest

Popis výsledku anglicky

The goal of this presented paper is to show and explain how to measure echogenicity level in B-MODE ultrasound images. We present a method which we use in practice in our developed application in MATLAB. The application is usable in medical practice to echogenicity analysis in B-images. The core of the application is based on echogenicity level analysis in selectable area of interest which can be select manually or by semi-automatic algorithm. We use the application in case of transcranial B-MODE imagesbut it is usable in another cases in which are used B-images. The application is based on measuring of echogenicity level by binary tresholding algorithm and pattern recognition inside area of interest and subsequently is computed real echogenic area for all levels of intensity from 0 to 255 as 8bit depth. The results were verified by an experienced neurosonologist and also by independent statistical analysis by 2 independent observers. The method was proved for detection pathology in s

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of Soft Computing and Pattern Recognition

ISBN

9781479959341

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

393-400

Název nakladatele

IEEE

Místo vydání

Tunisia

Místo konání akce

Tunisia

Datum konání akce

1. 1. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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