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Image-based Simulations of Tubular Network Formation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00114090" target="_blank" >RIV/00216224:14330/20:00114090 - isvavai.cz</a>

  • Result on the web

    <a href="http://2020.biomedicalimaging.org/" target="_blank" >http://2020.biomedicalimaging.org/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ISBI45749.2020.9098736" target="_blank" >10.1109/ISBI45749.2020.9098736</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Image-based Simulations of Tubular Network Formation

  • Original language description

    The image-based simulations in biomedicine play an important role as the real image data are difficult to be fully and precisely annotated. An increasing capability of contemporary computers allows to model and simulate reasonably complicated structures and in the last years also the dynamic processes. In this paper, we introduce a complex 3D model that describes the structure and dynamics of the population of endothelial cells. The model is based on standard cellular Potts model. It describes the formation process of a complex tubular network of endothelial cells fully in 3D together with the simulation of the cell death called apoptosis. The generated network imitates the structure and behavior that can be observed in real phase-contrast microscopy. The generated image data may serve as a benchmark dataset for newly designed detection or tracking algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    17th IEEE International Symposium on Biomedical Imaging

  • ISBN

    9781538693308

  • ISSN

    1945-7928

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1608-1612

  • Publisher name

    IEEE

  • Place of publication

    Neuveden

  • Event location

    Iowa City, Iowa, USA

  • Event date

    Jan 1, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000578080300336