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.

Základní údaje

Originální název

Vascular Network Formation in Silico Using the Extended Cellular Potts Model

Autoři

SVOBODA, David (203 Česká republika, garant, domácí), Vladimír ULMAN (203 Česká republika, domácí), Peter KOVÁČ (703 Slovensko, domácí), Barbara ŠALINGOVÁ (703 Slovensko, domácí), Lenka TESAŘOVÁ (203 Česká republika, domácí), Irena KRONTORÁD KOUTNÁ (203 Česká republika, domácí) a Petr MATULA (203 Česká republika, domácí)

Vydání

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

Nakladatel

IEEE Signal Processing Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Odkazy

URL

Kód RIV

RIV/00216224:14330/16:00087993

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4673-9961-6

ISSN

DOI

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

UT WoS

000390782003040

Klíčová slova anglicky

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

Štítky

CBIA, cbia-web, core_B, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 2. 2018 14:54, doc. RNDr. Petr Matula, Ph.D.

Anotace

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.

Návaznosti

GA14-22461S, projekt VaV

Název: Vývoj a studium metod pro kvantifikaci živých buněk (Akronym: Live Cell Quantification)

Investor: Grantová agentura ČR, Development and Study of Methods for Live Cell Quantification

Citovat

SVOBODA, David, Vladimír ULMAN, Peter KOVÁČ, Barbara ŠALINGOVÁ, Lenka TESAŘOVÁ, Irena KRONTORÁD KOUTNÁ a 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, s. 3180-3183. ISBN 978-1-4673-9961-6. Dostupné z: 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 a 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, s.~3180-3183. ISBN~978-1-4673-9961-6. Dostupné z: https://dx.doi.org/10.1109/ICIP.2016.7532946.

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