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用于骨代谢过程多尺度建模的先进计算工作流程。

Advanced computational workflow for the multi-scale modeling of the bone metabolic processes.

作者信息

Dao Tien Tuan

机构信息

Sorbonne University, Université de Technologie de Compiègne, CNRS, UMR 7338 Biomechanics and Bioengineering, Centre de recherche Royallieu, CS 60 319, 60203, Compiègne Cedex, France.

出版信息

Med Biol Eng Comput. 2017 Jun;55(6):923-933. doi: 10.1007/s11517-016-1572-z. Epub 2016 Sep 16.

DOI:10.1007/s11517-016-1572-z
PMID:27638110
Abstract

Multi-scale modeling of the musculoskeletal system plays an essential role in the deep understanding of complex mechanisms underlying the biological phenomena and processes such as bone metabolic processes. Current multi-scale models suffer from the isolation of sub-models at each anatomical scale. The objective of this present work was to develop a new fully integrated computational workflow for simulating bone metabolic processes at multi-scale levels. Organ-level model employs multi-body dynamics to estimate body boundary and loading conditions from body kinematics. Tissue-level model uses finite element method to estimate the tissue deformation and mechanical loading under body loading conditions. Finally, cell-level model includes bone remodeling mechanism through an agent-based simulation under tissue loading. A case study on the bone remodeling process located on the human jaw was performed and presented. The developed multi-scale model of the human jaw was validated using the literature-based data at each anatomical level. Simulation outcomes fall within the literature-based ranges of values for estimated muscle force, tissue loading and cell dynamics during bone remodeling process. This study opens perspectives for accurately simulating bone metabolic processes using a fully integrated computational workflow leading to a better understanding of the musculoskeletal system function from multiple length scales as well as to provide new informative data for clinical decision support and industrial applications.

摘要

肌肉骨骼系统的多尺度建模对于深入理解诸如骨代谢过程等生物现象和过程背后的复杂机制起着至关重要的作用。当前的多尺度模型存在各解剖尺度下子模型相互孤立的问题。本研究的目的是开发一种全新的完全集成的计算工作流程,用于在多尺度水平上模拟骨代谢过程。器官水平模型采用多体动力学从身体运动学估计身体边界和加载条件。组织水平模型使用有限元方法估计身体加载条件下的组织变形和机械加载。最后,细胞水平模型通过基于代理的模拟在组织加载下纳入骨重塑机制。进行并展示了一个关于人类颌骨骨重塑过程的案例研究。所开发的人类颌骨多尺度模型在每个解剖水平上使用基于文献的数据进行了验证。模拟结果落在基于文献的骨重塑过程中估计肌肉力、组织加载和细胞动力学值的范围内。本研究为使用完全集成的计算工作流程准确模拟骨代谢过程开辟了前景,从而能从多个长度尺度更好地理解肌肉骨骼系统功能,并为临床决策支持和工业应用提供新的信息数据。

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多尺度肌肉骨骼建模、数据-模型融合及肌电图辅助建模
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