脚手架
材料科学
微观结构
再生(生物学)
骨组织
生物医学工程
多孔性
组织工程
过程(计算)
复合材料
计算机科学
工程类
生物
细胞生物学
操作系统
作者
Taiji ADACHI,Yuki OSAKO,Mototsugu Tanaka,Masaki Hojo,Scott J. Hollister
出处
期刊:Biomaterials
[Elsevier]
日期:2006-04-05
卷期号:27 (21): 3964-3972
被引量:305
标识
DOI:10.1016/j.biomaterials.2006.02.039
摘要
In bone tissue engineering using a biodegradable scaffold, geometry of the porous scaffold microstructure is a key factor for controlling mechanical function of the bone-scaffold system in the regeneration process as well as after the regeneration. In this study, we propose a framework for the optimal design of the porous scaffold microstructure by three-dimensional computational simulation of bone tissue regeneration that consists of scaffold degradation and new bone formation. The rate of scaffold degradation due to hydrolysis, that leads to decrease in mechanical properties, was simply assumed to relate to the water content diffused from the surface to the bulk material. For the new bone formation on both bone and scaffold surfaces, the rate equation of trabecular surface remodeling driven by mechanical stimulation was applied. Solving these two phenomena in the same time frame, the bone regeneration process in the bone-scaffold system was predicted by computational simulation using a voxel finite element method. The change in the mechanical function of the bone-scaffold system during the regeneration process was quantitatively evaluated by measuring the change in total strain energy, and this was used for the evaluation function to optimize the scaffold microstructure that provides the desired mechanical function during and after the bone regeneration process. A case study conducted for the scaffold with a simple microstructure demonstrated that the proposed simulation method could be applied to the design of a porous scaffold microstructure. In addition, the regeneration process was found to be very complex even though the simple rate equations for scaffold regeneration and new bone formation were used because of the coupling effects of these phenomena.
科研通智能强力驱动
Strongly Powered by AbleSci AI