Simulation of 3D tumor cell growth using nonlinear finite element method. Issue 8 (10th June 2016)

• Record Type: Journal Article
• Authors: Dong, Shoubing; Yan, Yannan; Tang, Liqun; Meng, Junping; Jiang, Yi
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 19:Issue 8(2016)
• Page Start: 807
• Page End: 818
• Publication Date: 2016-06-10
• Subjects: Avascular tumor growth -- finite element method -- parallel computing; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2015.1065319
• Languages: English
• ISSNs: 1025-5842

Abstract

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.