Vascular Network Formation in Silico Using the Extended
Cellular Potts Model

D 2016

Vascular Network Formation in Silico Using the Extended Cellular Potts Model

SVOBODA, David, Vladimír ULMAN, Peter KOVÁČ, Barbara ŠALINGOVÁ, Lenka TESAŘOVÁ et. al.

Basic information

Original name

Vascular Network Formation in Silico Using the Extended Cellular Potts Model

Authors

SVOBODA, David (203 Czech Republic, guarantor, belonging to the institution), Vladimír ULMAN (203 Czech Republic, belonging to the institution), Peter KOVÁČ (703 Slovakia, belonging to the institution), Barbara ŠALINGOVÁ (703 Slovakia, belonging to the institution), Lenka TESAŘOVÁ (203 Czech Republic, belonging to the institution), Irena KRONTORÁD KOUTNÁ (203 Czech Republic, belonging to the institution) and Petr MATULA (203 Czech Republic, belonging to the institution)

Edition

Piscataway, NJ, USA, 2016 IEEE International Conference on Image Processing, p. 3180-3183, 4 pp. 2016

Publisher

IEEE Signal Processing Society

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

References:

URL

RIV identification code

RIV/00216224:14330/16:00087993

Organization unit

Faculty of Informatics

ISBN

978-1-4673-9961-6

ISSN

DOI

http://dx.doi.org/10.1109/ICIP.2016.7532946

UT WoS

000390782003040

Keywords in English

Synthetic image formation; Vascular network; Cellular Potts model; Angiogenesis

Abstract

V originále

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.

Links

GA14-22461S, research and development project

Name: Vývoj a studium metod pro kvantifikaci živých buněk (Acronym: Live Cell Quantification)

Investor: Czech Science Foundation

Citovat

SVOBODA, David, Vladimír ULMAN, Peter KOVÁČ, Barbara ŠALINGOVÁ, Lenka TESAŘOVÁ, Irena KRONTORÁD KOUTNÁ and Petr MATULA. Vascular Network Formation in Silico Using the Extended Cellular Potts Model. In 2016 IEEE International Conference on Image Processing. Piscataway, NJ, USA: IEEE Signal Processing Society, 2016, p. 3180-3183. ISBN 978-1-4673-9961-6. Available from: https://dx.doi.org/10.1109/ICIP.2016.7532946.

@inproceedings{1348198,
   author = {Svoboda, David and Ulman, Vladimír and Kováč, Peter and Šalingová, Barbara and Tesařová, Lenka and Krontorád Koutná, Irena and Matula, Petr},
   address = {Piscataway, NJ, USA},
   booktitle = {2016 IEEE International Conference on Image Processing},
   doi = {http://dx.doi.org/10.1109/ICIP.2016.7532946},
   keywords = {Synthetic image formation; Vascular network; Cellular Potts model; Angiogenesis},
   howpublished = {paměťový nosič},
   language = {eng},
   location = {Piscataway, NJ, USA},
   isbn = {978-1-4673-9961-6},
   pages = {3180-3183},
   publisher = {IEEE Signal Processing Society},
   title = {Vascular Network Formation in Silico Using the Extended Cellular Potts Model},
   url = {http://dx.doi.org/10.1109/ICIP.2016.7532946},
   year = {2016}
}

TY  - JOUR
ID  - 1348198
AU  - Svoboda, David - Ulman, Vladimír - Kováč, Peter - Šalingová, Barbara - Tesařová, Lenka - Krontorád Koutná, Irena - Matula, Petr
PY  - 2016
TI  - Vascular Network Formation in Silico Using the Extended Cellular Potts Model
PB  - IEEE Signal Processing Society
CY  - Piscataway, NJ, USA
SN  - 9781467399616
KW  - Synthetic image formation
KW  - Vascular network
KW  - Cellular Potts model
KW  - Angiogenesis
UR  - http://dx.doi.org/10.1109/ICIP.2016.7532946
N2  - 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.
ER  -

SVOBODA, David, Vladimír ULMAN, Peter KOVÁČ, Barbara ŠALINGOVÁ, Lenka TESAŘOVÁ, Irena KRONTORÁD KOUTNÁ and Petr MATULA. Vascular Network Formation in Silico Using the Extended Cellular Potts Model. In \textit{2016 IEEE International Conference on Image Processing}. Piscataway, NJ, USA: IEEE Signal Processing Society, 2016, p.~3180-3183. ISBN~978-1-4673-9961-6. Available from: https://dx.doi.org/10.1109/ICIP.2016.7532946.

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