肩部有限元模型中使用的密度-模量关系的比较。
A comparison of density-modulus relationships used in finite element modeling of the shoulder.
机构信息
School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada; Roth|McFarlane Hand and Upper Limb Centre, Bioengineering Laboratory, Surgical Mechatronics Laboratory, St. Josephs Health Care, 268 Grosvenor St., London, ON, Canada; Collaborative Training Program in MSK Health Research, and Bone and Joint Institute, The University of Western Ontario, London, ON, Canada.
Department of Mechanical and Materials Engineering, The University of Western Ontario, London, ON, Canada; Roth|McFarlane Hand and Upper Limb Centre, Bioengineering Laboratory, Surgical Mechatronics Laboratory, St. Josephs Health Care, 268 Grosvenor St., London, ON, Canada; Collaborative Training Program in MSK Health Research, and Bone and Joint Institute, The University of Western Ontario, London, ON, Canada.
出版信息
Med Eng Phys. 2019 Apr;66:40-46. doi: 10.1016/j.medengphy.2019.02.005. Epub 2019 Mar 1.
Subject- and site-specific modeling techniques greatly improve the accuracy of computational models derived from clinical-resolution quantitative computed tomography (QCT) data. The majority of shoulder finite element (FE) studies use density-modulus relationships developed for alternative anatomical locations. As such, the objectives of this study were to compare the six most commonly used density-modulus relationships in shoulder finite element (FE) studies. To achieve this, ninety-eight (98) virtual trabecular bone cores were extracted from uCT scans of scapulae from 14 cadaveric specimens (7 male; 7 female). Homogeneous tissue moduli of 20 GPa, and heterogeneous tissue moduli scaled by CT-intensity were considered. Micro finite element models (µ-FEMs) of each virtual core were compressively loaded to 0.5% apparent strain and apparent strain energy density (SED) was collected. Each uCT virtual core was then co-registered to clinical QCT images, QCT-FEMs created, and each of the 6 density-modulus relationships applied (6 × 98 = 588 QCT-FEMs). The loading and boundary conditions were replicated and SED was collected and compared to µ-FEM SED. When a homogeneous tissue modulus was considered in the µ-FEMs, SED was best predicted in QCT-FEMs with the density-modulus relationship developed from pooled anatomical locations (QCT-FEM SED = 0.979µ-FEM SED + 0.0066, r = 0.933). A different density-modulus relationship best predicted SED (QCT-FEM SED = 1.014µ-FEM SED + 0.0034, r = 0.935) when a heterogeneous tissue modulus was considered. This study compared density-modulus relationships used in shoulder FE studies using an independent computational methodology for comparing these relationships.
基于临床分辨率定量 CT（QCT）数据的计算模型，通过使用特定于部位和部位的建模技术，可以极大地提高其准确性。大多数肩部有限元（FE）研究都使用了为替代解剖部位开发的密度-模量关系。因此，本研究的目的是比较肩部 FE 研究中使用的六种最常用的密度-模量关系。为了实现这一目标，从 14 具尸体标本（7 名男性；7 名女性）的肩胛骨 uCT 扫描中提取了 98 个虚拟小梁骨核。考虑了均匀组织模量为 20 GPa 和按 CT 强度缩放的不均匀组织模量。对每个虚拟核的微有限元模型（µ-FEM）进行压缩加载至 0.5%的表观应变，并收集表观应变能密度（SED）。然后，将每个 uCT 虚拟核与临床 QCT 图像进行配准，创建 QCT-FEM，并应用 6 种密度-模量关系（6×98=588 个 QCT-FEM）。复制加载和边界条件，并收集和比较 SED 和 µ-FEM SED。当在 µ-FEM 中考虑均匀组织模量时，使用来自汇集解剖部位的密度-模量关系可以最好地预测 QCT-FEM 中的 SED（QCT-FEM SED=0.979µ-FEM SED+0.0066，r=0.933）。当考虑不均匀组织模量时，使用不同的密度-模量关系可以最好地预测 SED（QCT-FEM SED=1.014µ-FEM SED+0.0034，r=0.935）。本研究使用独立的计算方法比较了肩部 FE 研究中使用的密度-模量关系，以比较这些关系。
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