Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study.

Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study.
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DOI:
10.1186/s13018-021-02655-4
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发表时间:
2021-08-13
影响因子:
2.6
通讯作者:
Song Y
Song Y
中科院分区:
医学3区
文献类型:
--
作者:
Li J;Xu C;Zhang X;Xi Z;Sun S;Zhang K;Fang X;Xie L;Liu Y;Song Y

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有限元分析(FEA)是脊柱生物力学研究的重要工具。根据成像数据直接重建有限元分析模型中的不规则表面可能会增加计算负担并降低计算可信度。有限元分析中相对核位置及其横截面积比的定义不符合统一标准。为了提高有限元分析的准确性和效率,根据成像数据测量核位置和横截面积比。使用测量值构建了具有平滑表面的有限元分析模型。通过估计 FEA 模型与体外研究模型之间运动范围 (RoM) 的差异来校准细胞核位置。然后,通过比较 RoM、椎间盘内压力、小关节接触力和椎间盘压缩来重新估计差异,以验证测量和校准的指标。还记录了不同模型中的计算时间以评估效率。计算结果表明,在有限元模型中设置测量和标定指标后,精度达到99%,在几乎所有加载条件下模型验证率均达到90%以上。与重建模型相比,具有平滑表面的拟合模型的计算时间减少了约 70%。使用具有测量和校准的相对核位置及其横截面积比的平滑表面构建的腰椎有限元分析模型可以提高计算机研究的计算精度和效率。
Finite element analysis (FEA) is an important tool during the spinal biomechanical study. Irregular surfaces in FEA models directly reconstructed based on imaging data may increase the computational burden and decrease the computational credibility. Definitions of the relative nucleus position and its cross-sectional area ratio do not conform to a uniform standard in FEA. To increase the accuracy and efficiency of FEA, nucleus position and cross-sectional area ratio were measured from imaging data. A FEA model with smoothened surfaces was constructed using measured values. Nucleus position was calibrated by estimating the differences in the range of motion (RoM) between the FEA model and that of an in-vitro study. Then, the differences were re-estimated by comparing the RoM, the intradiscal pressure, the facet contact force, and the disc compression to validate the measured and calibrated indicators. The computational time in different models was also recorded to evaluate the efficiency. Computational results indicated that 99% of accuracy was attained when measured and calibrated indicators were set in the FEA model, with a model validation of greater than 90% attained under almost all of the loading conditions. Computational time decreased by around 70% in the fitted model with smoothened surfaces compared with that of the reconstructed model. The computational accuracy and efficiency of in-silico study can be improved in the lumbar FEA model constructed using smoothened surfaces with measured and calibrated relative nucleus position and its cross-sectional area ratio.
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