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Analysis of Microvascular Pattern on Histological Sample of Myocardium Using Voronoi Segmentation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F24%3A10489739" target="_blank" >RIV/00216208:11110/24:10489739 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=L.-29F0wQV" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=L.-29F0wQV</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/CTJ.2024.1.05" target="_blank" >10.14311/CTJ.2024.1.05</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Microvascular Pattern on Histological Sample of Myocardium Using Voronoi Segmentation

  • Original language description

    Remodeling of a microvascular network is common part of pathological changes associated with wide spectrum of diseases. Quantitative analysis of these alterations relies often on analysis of a point-pattern on the histological slide, i.e. on sections through the microvascular network only. Common techniques are based on the estimation of the average density of points representing section through microvessels on the histological image. This approach inherently omits the information about the regularity of the pattern. Thus, we used approach based on the Voronoi segmentation and chose the best statistical model of areas of Voronoi cells surrounding microvessels on 20 samples of human myocardium. The best model is based on the log-normal distribution. Parameters of the model for given data can be estimated as a mean and a standard deviation of logarithms of areas of Voronoi cells. Moreover, these parameters can be transformed to the widely used measure called the microvascular density.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30106 - Anatomy and morphology (plant science to be 1.6)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lékař a technika

  • ISSN

    0301-5491

  • e-ISSN

    2336-5552

  • Volume of the periodical

    54

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    27-31

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85205902170