Automated image detection of the main bloodstream stem from CT angiography image
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F16%3AE0106391" target="_blank" >RIV/00843989:_____/16:E0106391 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ifacol.2016.12.019" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2016.12.019</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2016.12.019" target="_blank" >10.1016/j.ifacol.2016.12.019</a>
Alternative languages
Result language
angličtina
Original language name
Automated image detection of the main bloodstream stem from CT angiography image
Original language description
Purpose of this paper is to design automatized system for detection of main bloodstream stem and to use its output for another processing. System is designed to get image ready for segmentation after using two images, obtained by examination with medical device called computer tomography, using method digital subtraction tomography. The methods for subtraction, normalization and filtration are used as pre-processing. The blood vessels are objects of interest in images, and this is why the designed system separate them from the background. Segmentation methods are used for displaying main bloodstream stem from blood vessels. This output can be used for another applications of larger project. Next applications will be finding blood vessels connected on main blood-stream stem and to separate them, using outputs for verification of therapy success or output that can be used after connection with database for comparison of therapy success in time.
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
30230 - Other clinical medicine subjects
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFAC-PapersOnLine
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
109-114
Publisher name
Elsevier Inc.
Place of publication
Amsterdam : Elsevier Inc., 2016
Event location
Brno, Czech Republic
Event date
Oct 5, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000401255800019