结合放射线组学技术和有限元分析确定轴向压缩下猪椎骨的特征

Cristian A. Hernández-Salazar, Camilo E. Chamorro, O. González-Estrada
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引用次数: 0

摘要

由于猪骨骼与人体组织相似,对猪骨骼的研究促进了技术工具的发展,有助于诊断影响骨骼系统的疾病和损伤。涉及医学影像分割的放射线组学技术以及有限元分析能够对骨骼损伤、密度损失和机械功能进行详细研究,是个性化医学的一大进步。这项研究涉及在轴向加载条件下对 L3-L6 猪椎骨进行实验测试。对这些椎骨的机械性能进行分析,并确定它们在弹性范围内可承受的最大负荷。此外,还通过分割椎骨的计算机轴向断层扫描(CAT)生成三维模型。通过将各向异性材料模型分配给分割的几何体,构建出椎骨的数字影像。然后,进行有限元分析以评估弹性特性、应力和位移。实验数据的结果与数值模型进行了比较,结果显示两者之间具有很强的相关性,弹性模量的差异小于 0.8%,位移的差异小于 1.53%。所提出的方法为实现更准确的医疗结果提供了宝贵的支持,所采用的模型可作为诊断参考。此外,利用有限元分析进行精确的骨建模可为了解植入物与周围骨组织的相互作用提供有价值的信息。这些信息有助于指导植入物的设计和优化,从而制造出更安全、更耐用、生物相容性更好的医疗设备,促进患者的最佳骨结合和愈合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Pig Vertebrae under Axial Compression Integrating Radiomic Techniques and Finite Element Analysis
The study of pig bones, due to their similarity with human tissues, has facilitated the development of technological tools that help in the diagnosis of diseases and injuries affecting the skeletal system. Radiomic techniques involving medical image segmentation, along with finite element analysis, enable the detailed study of bone damage, loss of density, and mechanical functionality, which is a significant advancement in personalized medicine. This study involves conducting experimental tests on L3–L6 pig vertebrae under axial loading conditions. The mechanical properties of these vertebrae are analyzed, and the maximum loads they can sustain within the elastic range are determined. Additionally, three-dimensional models are generated by segmenting computerized axial tomography (CAT) scans of the vertebrae. Digital shadows of the vertebrae are constructed by assigning an anisotropic material model to the segmented geometries. Then, finite element analysis is performed to evaluate the elastic characteristics, stress, and displacement. The findings from the experimental data are then compared to the numerical model, revealing a strong correlation with differences of less than 0.8% in elastic modulus and 1.53% in displacement. The proposed methodology offers valuable support in achieving more accurate medical outcomes, employing models that serve as a diagnostic reference. Moreover, accurate bone modeling using finite element analysis provides valuable information to understand how implants interact with the surrounding bone tissue. This information is useful in guiding the design and optimization of implants, enabling the creation of safer, more durable, and biocompatible medical devices that promote optimal osseointegration and healing in the patient.
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