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Near Infrared for Non-Destructive Testing of Articular Cartilage

机译:近红外线用于关节软骨的非破坏性测试

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The concept of non-destructive testing (NDT) of materials and structures is of immense importance in engineering and medicine. Several NDT methods including electromagnetic (EM)-based e.g. X-ray and Infrared; ultrasound; and S-waves have been proposed for medical applications. This paper evaluates the viability of near infrared (NIR) spectroscopy, an EM method for rapid non-destructive evaluation of articular cartilage. Specifically, we tested the hypothesis that there is a correlation between the NIR spectrum and the physical and mechanical characteristics of articular cartilage such as thickness, stress and stiffness. Intact, visually normal cartilage-on-bone plugs from 2-3yr old bovine patellae were exposed to NIR light from a diffuse reflectance fibre-optic probe and tested mechanically to obtain their thickness, stress, and stiffness. Multivariate statistical analysis-based predictive models relating articular cartilage NIR spectra to these characterising parameters were developed. Our results show that there is a varying degree of correlation between the different parameters and the NIR spectra of the samples with R2 varying between 65 and 93%. We therefore conclude that NIR can be used to determine, nondestruc-tively, the physical and functional characteristics of articular cartilage.
机译:材料和结构的非破坏性测试(NDT)的概念在工程和医学方面具有巨大的重要性。基于例如电磁(EM)的几种NDT方法。 X射线和红外线;超声;已经提出了S-WAVES用于医疗应用。本文评估了近红外(NIR)光谱,EM方法的近红外(NIR)光谱法的活力,用于快速无损性的关节软骨。具体地,我们测试了鼻腔谱与关节软骨的物理和机械特性之间存在相关性的假设,例如厚度,应力和刚度。完整的,来自2-3瓦尔旧牛髌骨的视觉正常的软骨塞,从漫反射光纤探针暴露于NIR光,并机械测试以获得它们的厚度,应力和刚度。基于多变量统计分析的基于多变量的统计分析与这些表征参数相关的关节软骨NIR光谱的预测模型。我们的结果表明,样品的不同参数和NIR光谱之间存在不同程度的相关性,R2在65和93%之间变化。因此,我们得出结论,NIR可用于确定,非易生化,肌肤软骨的物理和功能特征。

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