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Reconstruction of 4D CTA brain perfusion images using transformation methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099578" target="_blank" >RIV/61989100:27240/16:86099578 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-27644-1_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-27644-1_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-27644-1_19" target="_blank" >10.1007/978-3-319-27644-1_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reconstruction of 4D CTA brain perfusion images using transformation methods

  • Original language description

    The CT angiography (CTA) method is a mini-invasive diagnostic method for displaying blood vessels using computer tomography (CT) and the concurrent application of a contrast agent (CA). This article focuses on assessing brain perfusion in time based on a 4D reconstruction using one of the image transformation methods-morphing. The proposed methodology is very important for clinical practise. On the base this approach we are able to perform reconstruction of 4D CTA brain perfusion without using contrast substance. It is main difference against conventional procedures which are used during the examination. Patient is not exposed by contrast substance. (C) Springer International Publishing Switzerland 2016.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Advances in Intelligent Systems and Computing. Volume 423

  • ISSN

    2194-5357

  • e-ISSN

  • Volume of the periodical

    423

  • Issue of the periodical within the volume

    2016

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    9

  • Pages from-to

    203-211

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84959019684