Lumbar model generator: a tool for the automated generation of a parametric scalable model of the lumbar spine

Lumbar model generator: a tool for the automated generation of a parametric scalable model of the lumbar spine
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DOI:
10.1098/rsif.2017.0829
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发表时间:
2018-01-01
影响因子:
3.9
通讯作者:
Shepherd, D. E. T.
Shepherd, D. E. T.
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Lavecchia, C. E.;Espino, D. M.;Shepherd, D. E. T.

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下背痛是残疾的主要原因,需要开发新的设备来治疗病理并改善手术后的预后。了解新器械对脊柱生物力学的影响对于开发新的有效和功能性器械至关重要。本研究的目的是开发一个初步的参数化、可扩展和解剖学上准确的腰椎有限元模型,用于评价脊柱器械的性能。首先确定腰椎的主要解剖表面,然后根据S14 Implants(波尔多,法国)提供的先前模型进行准确拟合。最后,根据17个参数定义重建模型,这些参数用于根据患者尺寸缩放模型。所开发的模型,可作为一个工具箱命名为腰椎模型生成器,使生成一个人口的模型,使用从数据扫描获得的特定对象的尺寸或平均尺寸从相关性分析评估。该工具箱允许进行患者特异性评估,同时考虑到个体形态学变化。这些模型可应用于新器械的设计过程,评估脊柱的生物力学,并帮助临床医生决定治疗策略。
Low back pain is a major cause of disability and requires the development of new devices to treat pathologies and improve prognosis following surgery. Understanding the effects of new devices on the biomechanics of the spine is crucial in the development of new effective and functional devices. The aim of this study was to develop a preliminary parametric, scalable and anatomically accurate finite-element model of the lumbar spine allowing for the evaluation of the performance of spinal devices. The principal anatomical surfaces of the lumbar spine were first identified, and then accurately fitted from a previous model supplied by S14 Implants (Bordeaux, France). Finally, the reconstructed model was defined according to 17 parameters which are used to scale the model according to patient dimensions. The developed model, available as a toolbox named the lumbar model generator, enables generating a population of models using subject-specific dimensions obtained from data scans or averaged dimensions evaluated from the correlation analysis. This toolbox allows patient-specific assessment, taking into account individual morphological variation. The models have applications in the design process of new devices, evaluating the biomechanics of the spine and helping clinicians when deciding on treatment strategies.