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BioMed Research International
Volume 2017, Article ID 6981586, 7 pages
https://doi.org/10.1155/2017/6981586
Research Article

Analysis of the Osteogenic Effects of Biomaterials Using Numerical Simulation

1Orthopaedic Institute, Soochow University, Suzhou, China
2Department of Fundamental Courses, Wuxi Institute of Technology, Wuxi, China
3Department of Orthopaedics, The First Affiliated Hospital, Soochow University, Suzhou, China

Correspondence should be addressed to Zong-Ping Luo; moc.oohay@oul_gnipgnoz

Received 31 October 2016; Accepted 30 November 2016; Published 2 January 2017

Academic Editor: Zheng Ren

Copyright © 2017 Lan Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We describe the development of an optimization algorithm for determining the effects of different properties of implanted biomaterials on bone growth, based on the finite element method and bone self-optimization theory. The rate of osteogenesis and the bone density distribution of the implanted biomaterials were quantitatively analyzed. Using the proposed algorithm, a femur with implanted biodegradable biomaterials was simulated, and the osteogenic effects of different materials were measured. Simulation experiments mainly considered variations in the elastic modulus (203000 MPa) and degradation period (10, 20, and 30 days) for the implanted biodegradable biomaterials. Based on our algorithm, the osteogenic effects of the materials were optimal when the elastic modulus was 1000 MPa and the degradation period was 20 days. The simulation results for the metaphyseal bone of the left femur were compared with micro-CT images from rats with defective femurs, which demonstrated the effectiveness of the algorithm. The proposed method was effective for optimization of the bone structure and is expected to have applications in matching appropriate bones and biomaterials. These results provide important insights into the development of implanted biomaterials for both clinical medicine and materials science.