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Vascular Network Formation in Silico Using the Extended Cellular Potts Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087993" target="_blank" >RIV/00216224:14330/16:00087993 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICIP.2016.7532946" target="_blank" >http://dx.doi.org/10.1109/ICIP.2016.7532946</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICIP.2016.7532946" target="_blank" >10.1109/ICIP.2016.7532946</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vascular Network Formation in Silico Using the Extended Cellular Potts Model

  • Original language description

    Cardiovascular diseases belong to the most widespread illnesses in the developed countries. Therefore, the regenerative medicine and tissue modeling applications are highly interested in studying the ability of endothelial cells, derived from human stem cells, to form vascular networks. Several characteristics can be measured on images of these networks and hence describe the quality of the endothelial cells. With advances in the image processing, automatic analysis of these complex images becomes increasingly common. In this study, we introduce a new graph structure and additional constraints to the cellular Potts model, a framework commonly utilized in computational biology. Our extension allows to generate visually plausible synthetic image sequences of evolving fluorescently labeled vascular networks with ground truth data. Such generated datasets can be subsequently used for testing and validating methods employed for the analysis and measurement of the images of real vascular networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-22461S" target="_blank" >GA14-22461S: Development and Study of Methods for Live Cell Quantification</a><br>

  • Continuities

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

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

    2016 IEEE International Conference on Image Processing

  • ISBN

    9781467399616

  • ISSN

    1522-4880

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    3180-3183

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Piscataway, NJ, USA

  • Event location

    Phoenix, USA

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390782003040