Large-scale microstructural simulation of load-adaptive bone remodeling in whole human vertebrae
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- 作者：Sandro D. Badilatti ; Patrik Christen…
- 关键词：Bone adaptation ; Bone remodeling simulations ; Human vertebra ; Bone loading estimation ; Microfinite element modeling
- 刊名：Biomechanics and Modeling in Mechanobiology
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：15
- 期：1
- 页码：83-95
- 全文大小：2,426 KB
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Patrik Christen (1)
Alina Levchuk (1)
Javad Hazrati Marangalou (2)
Bert van Rietbergen (2)
Ian Parkinson (3)
Ralph Müller (1)
1. Institute for Biomechanics, ETH Zurich, Vladimir-Prelog-Weg 3, 8093, Zurich, Switzerland
2. Orthopaedic Biomechanics, Department of Biomedical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
3. SA Pathology and University of Adelaide, Adelaide, SA, 5005, Australia - 刊物类别：Engineering
- 刊物主题：Theoretical and Applied Mechanics
Biomedical Engineering
Mechanics
Biophysics and Biomedical Physics - 出版者：Springer Berlin / Heidelberg
- ISSN：1617-7940
文摘
Identification of individuals at risk of bone fractures remains challenging despite recent advances in bone strength assessment. In particular, the future degradation of the microstructure and load adaptation has been disregarded. Bone remodeling simulations have so far been restricted to small-volume samples. Here, we present a large-scale framework for predicting microstructural adaptation in whole human vertebrae. The load-adaptive bone remodeling simulations include estimations of appropriate bone loading of three load cases as boundary conditions with microfinite element analysis. Homeostatic adaptation of whole human vertebrae over a simulated period of 10 years is achieved with changes in bone volume fraction (BV/TV) of less than 5 %. Evaluation on subvolumes shows that simplifying boundary conditions reduces the ability of the system to maintain trabecular structures when keeping remodeling parameters unchanged. By rotating the loading direction, adaptation toward new loading conditions could be induced. This framework shows the possibility of using large-scale bone remodeling simulations toward a more accurate prediction of microstructural changes in whole human bones.