一种简单、有效的自动调节脊柱MBS模型腰椎曲度的方法

Ivanna Kramer, S. Bauer, V. Keppler
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引用次数: 1

摘要

在脊柱保健的许多领域,已经努力提供个性化的产品和治疗量身定制的病人。因此,必须考虑脊柱的主流对齐,这因人而异,取决于运动和负载情况。借助患者脊柱仿真模型,可以分析特定体位下脊柱结构的几何参数,评估脊柱结构在动力过程中的载荷情况。然而,为了使这些模拟模型在未来的医疗现实中可用,需要考虑尽可能多的患者特定情况。另一个关键的要求是,模拟模型必须快速和容易地创建用于临床常规。建立新的或适应现有的脊柱多体仿真模型由于其复杂的结构是耗时的。为了克服这一限制,我们开发了一种简单有效的方法来自动调整脊柱模型的腰椎弯曲方向。该方法在预处理步骤中从患者特定数据中提取新的三维前凸曲线。然后对现有脊柱仿真模型的椎骨和所有连接的脊柱结构进行转换,使腰椎前凸遵循该方法第一部分中获得的曲线。为了验证所提出的方法,三位独立的专家测量了源的Cobb角和生成的脊柱对齐。我们计算出生成的样本与相应的地面真实值之间的平均绝对误差为1.29°。此外,原始前凸曲线与目标前凸曲线对齐曲线下面积的均方根误差(RMSE)偏差较小,为0.0012 m2,表明了所提出方法的准确性。所提出的方法表明,可以在短时间内从任何合适的数据源生成新的特定患者的仿真模型。
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A Simple, Efficient Method for an Automatic Adjustment of the Lumbar Curvature Alignment in an MBS Model of the Spine
In many fields of spinal health care, efforts have been made to offer individualized products and therapy tailored to the patient. Therefore, the prevailing alignment of the spine must be considered, which varies from person to person and depends on the movement and loading situation. With the help of patient-specific simulation models of the spine, the geometrical parameters in a specific body position can be analyzed, and the load situation of the spinal structures during dynamic processes can be assessed. However, to enable the future usability of such simulation models in medical reality, as many patient-specific conditions as possible need to be considered. Another critical requirement is that simulation models must be quickly and easily created for use in clinical routine. Building new or adapting existing spine multibody simulation (MBS) models is time-consuming due to their complex structure. To overcome this limitation, we developed a simple, efficient method by which to automatically adjust the lumbar curvature orientation of the spine model. The method extracts a new 3D lordosis curve from patient-specific data in the preprocessing step. Then the vertebrae and all linked spinal structures of an existing spinal simulation model are transformed so that the lumbar lordosis follows the curve obtained in the first part of the method. To validate the proposed approach, three independent experts measured the Cobb angle in the source and the generated spine alignments. We calculated a mean absolute error of 1.29° between the generated samples and the corresponded ground truth. Furthermore, the minor deviation in the root mean square error (RMSE) of 0.0012 m2 between the areas under the alignment curves in the original and target lordosis curvatures indicated the accuracy of the proposed method. The proposed method demonstrated that a new patient-specific simulation model can be generated in a short time from any suitable data source.
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