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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30230 - Other clinical medicine subjects

Result continuities

  • Project

  • 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

  • ISSN

    2405-8963

  • e-ISSN

  • 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