Mimetization of the elastic properties of cancellous bone via a parameterized cellular material

被引:16
|
作者
Colabella, Lucas [1 ]
Cisilino, Adrian P. [1 ]
Haiat, Guillaume [2 ]
Kowalczyk, Piotr [3 ]
机构
[1] CONICET Natl Univ Mar Del Plata, INTEMA Sch Engn, Ave Juan B Justo 4302,B7608FDQ, Mar Del Plata, Argentina
[2] CNRS, Lab Modelisat & Simulat Multiechelle, UMRS CNRS 8208, 61 Ave Gal Gaulle, F-94010 Creteil, France
[3] Polish Acad Sci, Inst Fundamental Technol Res, Pawinskiego 5B, PL-02106 Warsaw, Poland
基金
欧洲研究理事会;
关键词
Cancellous bone; Parameterized microstructure; Elastic properties; Homogenization; Symmetry classes; Optimization; TRABECULAR BONE; TISSUE; MODELS; IDENTIFICATION; DECOMPOSITION; MORPHOMETRY; ANISOTROPY; DENSITY; DESIGN;
D O I
10.1007/s10237-017-0901-y
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Bone tissue mechanical properties and trabecular microarchitecture are the main factors that determine the biomechanical properties of cancellous bone. Artificial cancellous microstructures, typically described by a reduced number of geometrical parameters, can be designed to obtain a mechanical behavior mimicking that of natural bone. In this work, we assess the ability of the parameterized microstructure introduced by Kowalczyk (Comput Methods Biomech Biomed Eng 9: 135-147, 2006. doi: 10. 1080/10255840600751473) to mimic the elastic response of cancellous bone. Artificial microstructures are compared with actual bone samples in terms of elasticity matrices and their symmetry classes. The capability of the parameterized microstructure to combine the dominant isotropic, hexagonal, tetragonal and orthorhombic symmetry classes in the proportions present in the cancellous bone is shown. Based on this finding, two optimization approaches are devised to find the geometrical parameters of the artificial microstructure that better mimics the elastic response of a target natural bone specimen: a Sequential Quadratic Programming algorithm that minimizes the norm of the difference between the elasticity matrices, and a Pattern Search algorithm that minimizes the difference between the symmetry class decompositions. The pattern search approach is found to produce the best results. The performance of the method is demonstrated via analyses for 146 bone samples.
引用
收藏
页码:1485 / 1502
页数:18
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