Bowman Lyn, Loucks Anne B
Department of Biological Sciences, Ohio University, Athens, OH 45701, United States.
Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH 45701, United States.
MethodsX. 2019 Oct 14;6:2408-2419. doi: 10.1016/j.mex.2019.10.004. eCollection 2019.
Cortical Bone Mechanics Technology™ (CBMT) comprises certain improvements over a previous method known as Mechanical Response Tissue Analysis (MRTA). Both methods are dynamic 3-point bending tests intended for measuring the mechanical properties of cortical bone in living people. MRTA presented a theoretical potential for direct measurement of skeletal fragility, but it had acquired a reputation for error and fallen into disuse. We found sources of error in both MRTA data collection and data analysis. We describe here the fundamentals of MRTA, the major sources of error we found in MRTA, and our innovations for avoiding them. •Data collection at many sites across the mid-shaft of the ulna bone in the forearm.•Parameter estimation by fitting analytical complex compliance and stiffness transfer functions to empirical complex compliance and stiffness frequency response functions.•Optimization by selecting results from frequency response functions with the smallest deviations between fits to compliance and stiffness frequency response functions.
皮质骨力学技术™(CBMT)相较于之前一种名为机械响应组织分析(MRTA)的方法有某些改进。这两种方法都是用于测量活体皮质骨力学性能的动态三点弯曲试验。MRTA曾展现出直接测量骨骼脆性的理论潜力,但却因误差问题声名狼藉并被弃用。我们在MRTA的数据收集和数据分析中都发现了误差来源。在此,我们描述MRTA的基本原理、我们在MRTA中发现的主要误差来源以及我们为避免这些误差所做的创新。
•在前臂尺骨骨干中部的多个部位进行数据收集。
•通过将解析复柔度和刚度传递函数拟合到经验复柔度和刚度频率响应函数来进行参数估计。
•通过从复柔度和刚度频率响应函数拟合之间偏差最小的频率响应函数中选择结果来进行优化。