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Computational models of tissue differentiation
Publikationstyp
Book Part
Date Issued
2010-12-01
Sprache
English
Author(s)
Start Page
353
End Page
372
Citation
In: Computational Modeling in Biomechanics / edited by Suvranu De, Farshid Guilak, Mohammad Mofrad R. K.. - Dordrecht : Springer Science+Business Media B.V, 2010. - S. 353-372
Publisher DOI
Scopus ID
Publisher
Springer
ISBN
9789048135745
Readers of this chapter will learn about our approach to computer simulation of tissue differentiation in response to mechanical forces. It involves defining algorithms for mechanoregulation of each of following cell activities: proliferation, apoptosis, migration, and differentiation using a stimulus based on a combination of strain and fluid flow (Prendergast et al., J. Biomech., 1997)-algorithms are based on a lattice-modelling which also facilitates building algorithms for complex processes such as angiogenesis. The algorithms are designed to be collaboratable individually. They can be combined to create a computational simulation method for tissue differentiation, using finite element analysis to compute the mechanical stimuli in even quite complex biomechanical environments. Examples are presented of the simulation method in use. © 2010 Springer Science+Business Media B.V.
Subjects
Differentiation
Finite element modeling
Lattice modeling
Mechanobiology
Scaffolds
Tissue engineering
DDC Class
610: Medicine, Health