Simulation of 3D tumor cell growth using nonlinear finite element method
Shoubing Dong,
Yannan Yan,
Liqun Tang,
Junping Meng and
Yi Jiang
Computer Methods in Biomechanics and Biomedical Engineering, 2016, vol. 19, issue 8, 807-818
Abstract:
We propose a novel parallel computing framework for a nonlinear finite element method (FEM)-based cell model and apply it to simulate avascular tumor growth. We derive computation formulas to simplify the simulation and design the basic algorithms. With the increment of the proliferation generations of tumor cells, the FEM elements may become larger and more distorted. Then, we describe a remesh and refinement processing of the distorted or over large finite elements and the parallel implementation based on Message Passing Interface to improve the accuracy and efficiency of the simulation. We demonstrate the feasibility and effectiveness of the FEM model and the parallelization methods in simulations of early tumor growth.
Date: 2016
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2015.1065319 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:19:y:2016:i:8:p:807-818
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20
DOI: 10.1080/10255842.2015.1065319
Access Statistics for this article
Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton
More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().