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Segmentation of MRI data to extract the blood vessels based on fuzzy thresholding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A10238687" target="_blank" >RIV/61989100:27240/15:10238687 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-16211-9_5" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-16211-9_5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-16211-9_5" target="_blank" >10.1007/978-3-319-16211-9_5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Segmentation of MRI data to extract the blood vessels based on fuzzy thresholding

  • Original language description

    The article discusses the design of appropriate methodology of segmentation and visualization of MRI data to extract the blood vessels. The main objective of the proposed algorithm is effective separation individual vessels and adjecent structures. In clinical practice, it is necessary to assess the progress of the blood vessels in order to assess the condition of the vascular system. For physician who performs diagnosis is much more rewarding to perform analysis of an image that contains only vascular elements. The proposed method of image segmentation can effectively separate the individual blood vessels from surrounding tissue structures. The output of this analysis is the color coding of the input image data to distinguish contrasting behavior of individual vessels that are at the forefront of our concerns, the structures that we need in the picture.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Studies in Computational Intelligence. Volume 598

  • ISBN

    978-3-319-16211-9

  • ISSN

    1860-949X

  • e-ISSN

    neuvedeno

  • Number of pages

    9

  • Pages from-to

    43-52

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Bali

  • Event date

    Mar 23, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000378038200005