The Information System for the Research in Carotid Atherosclerosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15120%2F19%3A73600485" target="_blank" >RIV/61989592:15120/19:73600485 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19240/19:A0000498
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-27355-2.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-27355-2.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Information System for the Research in Carotid Atherosclerosis
Original language description
This work adresses the possibility of using a new information system and is focused on reproducibility of the Echo-Index between two non-experienced independent observes for atherosclerotic plaques displayed on B-images. The Echo-Index is a numerical value which should characterize the echogenicity grade in selected Region of Interest. In this pilot study, the level of agreement between two independent observes for this index is investigated. The Echo-Index is computed using software image analysis from own developed application designed for digital image analysis of B-images. The results show that the index is well reproducible in time and between two independent observes as well. The study has been performed on a set of 284 B-images. Each image was analyzed two timesbx one observer and subsequently two times by another observer independently. The Echo-Index is a starting point to create a decision-making expert information system which should help decide about risk assessment in atherosclerosis of carotid artery. The idea of the system is based on defferentiation of echogenicity grade according to Echo-Index value. In consequence, the system should classify the plaques into different classes to early risk assessment in carotid atherosclerosis. If the system works properly, many clinical studies can be performed in future; focused on authomatic classication of the plaques displayed in B-images to early atherosclerosis diagnosis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Big Data Innovations and Applications, 5th International Conference, Innovate-Data 2019, Istanbul, Turkey, August 26–28, 2019, Proceedings
ISBN
978-3-030-27354-5
ISSN
1865-0929
e-ISSN
1865-0937
Number of pages
12
Pages from-to
150-161
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham, Switzerland
Event location
Istanbul, Turecko
Event date
Aug 26, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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