Gaussian random field-based characterization and reconstruction of cancellous bone microstructure considering the constraint of correlation structure

被引:2
|
作者
He, Lei [1 ]
Zhao, Moxin [2 ]
Cheung, Jason Pui Yin [2 ]
Zhang, Teng [2 ]
Ren, Xiaodan [1 ]
机构
[1] Tongji Univ, Coll Civil Engn, Shanghai, Peoples R China
[2] Univ Hong Kong, Li Ka Shing Fac Med, Dept Orthopaed & Traumatol, Hong Kong, Peoples R China
关键词
Cancellous bone; Porous scaffold; Gaussian random field; Surface curvature; Smoothed particle hydrodynamic method; Material failure; TRABECULAR BONE; MECHANICAL-PROPERTIES; POROUS BIOMATERIALS; TISSUE; REPLACEMENT; CURVATURE; DESIGN; MODELS;
D O I
10.1016/j.jmbbm.2024.106443
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The macro scale physical properties of cancellous bone materials are governed by the microstructural features, which is of great significance for the multi-scale research of cancellous bone and the inverse design of bonemimicking materials. Therefore, it is essential to characterize the natural cancellous bone samples, and reconstruct the microstructures with the biomimetic osteointegration and mechanical properties. In this research, novel approach for the characterization and reconstruction of cancellous bone was proposed, based on the medical image analysis and anisotropic three-dimensional Gaussian random field (GRF). The geometric similarity, i.e. the interface curvature distribution (ISD), was meticulously studied, which is important to the osteointegration ability. And the mechanical properties were validated by the stress-strain curves under the large compressive strain simulated by the smoothed particle hydrodynamic (SPH) method. In addition, the effects of the generation parameters of GRF-based biomimetic microstructures on the apparent properties were analyzed. The ISD results demonstrated that both GRF and micro-CT groups had the similar columnar morphological properties, while the latter had more hyperbolic features. And it was found that the GRF-based biomimetic microstructures and the natural bone samples based on micro-CT (MCT) had the similar failure mode. The concordance correlation coefficient between MCT and GRF pairs was 0.8685, with a Pearson rho value of 0.8804, and significance level p < 0.0001. The Bland -Altman LoA was 0.1647 MPa with 95 % (1.96SD) lower and upper bound value between -0.2892 and 0.6185 MPa. The two groups had almost the same elastic modulus with the mean absolute percentage error (MAPE) of 7.84 %. While the yield stress and total conversion energy of the GRFbased samples were lower than those of the natural bone samples, and the MAPE were 16.99 % and 16.27 %, respectively. Although it meant the lower structural efficiency, the huge design space of this approach and advanced 3D printing technology can provide great potential for the design of orthopedic implants.
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页数:14
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