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dc.contributor.authorToma, Alinaen_US
dc.contributor.authorMang, Andreasen_US
dc.contributor.authorSchütz, Tina A.en_US
dc.contributor.authorBecker, Stefanen_US
dc.contributor.authorBuzug, Thorsten M.en_US
dc.contributor.editorPeter Eisert and Joachim Hornegger and Konrad Polthieren_US
dc.date.accessioned2013-10-31T11:48:50Z
dc.date.available2013-10-31T11:48:50Z
dc.date.issued2011en_US
dc.identifier.isbn978-3-905673-85-2en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/VMV/VMV11/361-368en_US
dc.description.abstractWe propose a hybrid continuum discrete model to simulate tumour growth on a microscopic scale. The lattice based spatio temporal model consists of reaction diffusion equations that describe interactions between cancer cells and their microenvironment. The components that are typically considered are usually nutrients, like oxygen and glucose, matrix degrading enzymes (MDE) and the extracellular matrix (ECM). The in vivo processes are very complex and occur on different levels. This in turn leads to huge computational costs. Thus, the aim is to describe the processes on the basis of simplified mathematical approaches, which depict realistic results at the same time. In this work we discuss if we have to model the MDEs or if the ECM can be modelled directly depending on the cancer cells distribution. Comparing the results for modelling the tumour growth with the common choice and with the simplified model without MDE, we observe almost similar results. The model without MDE allows for a straightforward, fast and accurate implementation.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.6.5 [Simulation and Modeling]en_US
dc.subjectModel Developmenten_US
dc.subjectModeling methodologiesen_US
dc.titleIs it Necessary to Model the Matrix Degrading Enzymes for Simulating Tumour Growth?en_US
dc.description.seriesinformationVision, Modeling, and Visualization (2011)en_US


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  • VMV11
    ISBN 978-3-905673-85-2

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