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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Ex~Vivo Assessment of Cortical Bone Properties Using Low-Frequency Ultrasonic Guided Waves
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Ex~Vivo Assessment of Cortical Bone Properties Using Low-Frequency Ultrasonic Guided Waves

机译：使用低频超声波引导波进行皮质骨质性能的〜体内评估

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The early diagnosis of osteoporosis through bone quality assessment is a major public health challenge. Research in axial transmission using ultrasonic guided waves has shown the method to be sensitive to the geometrical and mechanical properties of the cortical layer in long bones. However, because of the asymmetric nature of cortical bone, the introduction of a more elaborate numerical model than the analytical plate and cylinder models, as well as its inversion, continues to be challenging. The aim of this article is, therefore, to implement a bone-like geometry using semianalytical finite-element (SAFE) modeling to perform the inverse characterization of ex vivo radii at low frequencies (< 60 kHz). Five cadaveric radiuses were taken from donors aged between 53 and 88 and tested using a typical axial transmission configuration at the middle of the diaphysis. The dispersion curves of the propagating modes were measured experimentally and then systematically compared with the solutions obtained with the SAFE method. For each sample, four parameters were estimated using a parameter identification procedure: 1) the bulk density; 2) the thickness; 3) the outer diameter; and 4) a shape factor (SF). The results showed a moderate agreement between the predicted bulk density and the average voxel value calculated from X-ray computed tomography images. Furthermore, a good agreement was observed between the geometrical parameters (thickness, outer diameter, and SF) and the reference images.
机译：通过骨质质量评估的早期诊断骨质疏松症是一个主要的公共卫生挑战。使用超声波引导波的轴向传输的研究已经显示了在长骨中对皮质层的几何和力学性能敏感的方法。然而，由于皮质骨的不对称性质，引入了比分析板和气缸模型更精细的数值模型，以及其反演仍然存在挑战性。因此，本文的目的是使用半角质有限元（安全）建模来实现骨状几何形状，以在低频（<60kHz）下执行离体半径的逆表征。从53和88之间的供体取出五个尸体半径，并在骨干的中间使用典型的轴向传动构型测试。通过使用安全方法获得的溶液进行实验测量传播模式的分散曲线。对于每个样品，使用参数识别程序估计四个参数：1）堆积密度; 2）厚度; 3）外径; 4）形状因子（SF）。结果表明，从X射线计算机断层摄影图像计算的预测堆积密度和平均体素值之间存在适度的协议。此外，在几何参数（厚度，外径和SF）和参考图像之间观察到良好的一致性。

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