A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest
The result's identifiers
Result code in 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>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7008039&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7008039" target="_blank" >http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7008039&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7008039</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
8
Pages from-to
393-400
Publisher name
IEEE
Place of publication
Tunisia
Event location
Tunisia
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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