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
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Czech description
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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