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A Density-Dependent Target Stimulus for Inverse Bone (Re)modeling with Homogenized Finite Element Models

Overview
Journal Ann Biomed Eng
Date 2022 Nov 23
PMID 36418745
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Abstract

Inverse bone (re)modeling (IBR) can infer physiological loading conditions from the bone microstructure. IBR scales unit loads, imposed on finite element (FE) models of a bone, such that the trabecular microstructure is homogeneously loaded and the difference to a target stimulus is minimized. Micro-FE (µFE) analyses are typically used to model the microstructure, but computationally more efficient, homogenized FE (hFE) models, where the microstructure is replaced by an equivalent continuum, could be used instead. However, also the target stimulus has to be translated from the tissue to the continuum level. In this study, a new continuum-level target stimulus relating relative bone density and strain energy density is proposed. It was applied using different types of hFE models to predict the physiological loading of 21 distal radii sections, which was subsequently compared to µFE-based IBR. The hFE models were able to correctly identify the dominant load direction and showed a high correlation of the predicted forces, but mean magnitude errors ranged from - 14.7 to 26.6% even for the best models. While µFE-based IBR can still be regarded as a gold standard, hFE-based IBR enables faster predictions, the usage of more sophisticated boundary conditions, and the usage of clinical images.

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References
1.
Badilatti S, Christen P, Ferguson S, Muller R . Computational modeling of long-term effects of prophylactic vertebroplasty on bone adaptation. Proc Inst Mech Eng H. 2017; 231(5):423-431. DOI: 10.1177/0954411916683222. View

2.
Bergmann G, Bender A, Dymke J, Duda G, Damm P . Standardized Loads Acting in Hip Implants. PLoS One. 2016; 11(5):e0155612. PMC: 4873223. DOI: 10.1371/journal.pone.0155612. View

3.
Bergmann G, Bender A, Graichen F, Dymke J, Rohlmann A, Trepczynski A . Standardized loads acting in knee implants. PLoS One. 2014; 9(1):e86035. PMC: 3900456. DOI: 10.1371/journal.pone.0086035. View

4.
Bona M, Martin L, Fischer K . A contact algorithm for density-based load estimation. J Biomech. 2006; 39(4):636-44. DOI: 10.1016/j.jbiomech.2005.01.006. View

5.
Bona M, Martin L, Fischer K . Density-based load estimation using two-dimensional finite element models: a parametric study. Comput Methods Biomech Biomed Engin. 2006; 9(4):221-9. DOI: 10.1080/10255840600792451. View