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首页> 外文期刊>Journal of Biomechanics >Image driven subject-specific finite element models of spinal biomechanics
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Image driven subject-specific finite element models of spinal biomechanics

机译：图像驱动的脊柱生物力学特定对象有限元模型

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Finite element (FE) modelling is an established technique for investigating spinal biomechanics. Using image data to produce FE models with subject-specific geometry and displacement boundary conditions may help extend their use to the assessment spinal loading in individuals. Lumbar spine magnetic resonance images from nine participants in the supine, standing and sitting postures were obtained and 2D poroelastic FE models of the lumbar spine were created from the supine data. The rigid body translation and rotation of the vertebral bodies as the participant moved to standing or sitting were applied to the model. The resulting pore pressure in the centre of the L4/L5 disc was determined and the sensitivity to the material properties and vertebral body displacements was assessed. Although the limitations of using a 2D model mean the predicted pore pressures are unlikely to be accurate, the results showed that subject-specific variation in geometry and motion during postural change leads to variation in pore pressure. The model was sensitive to the Young's modulus of the annulus matrix, the permeability of the nucleus, and the vertical translation of the vertebrae. This study demonstrates the feasibility of using image data to drive subject-specific lumbar spine FE models and indicates where further development is required to provide a method for assessing spinal biomechanics in a wide range of individuals. (C) 2016 Elsevier Ltd. All rights reserved.
机译：有限元（FE）建模是一种研究脊柱生物力学的成熟技术。使用图像数据生成具有特定对象几何形状和位移边界条件的有限元模型可能有助于将其扩展到评估个体的脊柱负荷。从仰卧，站立和坐姿的九位参与者获得腰椎磁共振图像，并从仰卧数据创建腰椎的二维多孔弹性有限元模型。当参与者移动到站立或坐着时，椎体的刚体平移和旋转应用于模型。确定了在L4 / L5椎间盘中央产生的孔隙压力，并评估了对材料特性和椎体位移的敏感性。尽管使用2D模型的局限性意味着预测的孔隙压力不太可能是准确的，但结果表明，姿势变化过程中特定于对象的几何形状和运动变化会导致孔隙压力发生变化。该模型对环形基质的杨氏模量，核的通透性以及椎骨的垂直平移敏感。这项研究证明了使用图像数据来驱动特定于受试者的腰椎有限元模型的可行性，并指出了需要进一步发展的地方，以提供一种评估广泛个体脊柱生物力学的方法。 （C）2016 Elsevier Ltd.保留所有权利。

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