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3D linear and volumetric wear measurement on artificial hip joints-Validation of a new methodology

机译:人工髋关节的3D线性和体积磨损测量-一种新方法的验证

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摘要

Artificial hip replacement joints have been in use to treat osteoarthritis and rheumatoid arthritis for decades. These devices consist of a metallic/ceramic ball articulating against a polyethylene or metallic/ceramic hemispherical cup. However, these artificial joints do wear and their clinical performance starts declining after 10-20 years of successful use. In the case of hard-on-hard bearings, the wear depth and volume remain very small and their measurement has remained a challenge to current technologies. A novel device, the non-contact RedLux Artificial Hip Profiler, which is based on the chromatically encoded confocal measurement method, has been developed so that these joints can be measured accurately, reproducibly and in a short timescale. The system outputs the component radius for the unworn part, the linear depth of wear and also provides the wear volume. The design principles are presented and the capability of the equipment to measure worn parts, with linear wear between a few microns and tens of microns is hereby characterised, and correlated with laser micrometer diameter measurements, roundness measurements of linear wear and gravimetric wear assessment. The Artificial Hip Profiler is capable of measuring spherical bearing surfaces with a resolution of 20 nm. The correlation to benchmark methods for the three parameters considered is very high, with correlation coefficients of 1.02 and 0.95 for the linear and volumetric wear, respectively. The R values were 0.988 and 0.996, respectively.
机译:人工髋关节置换术已用于治疗骨关节炎和类风湿关节炎数十年。这些装置由金属/陶瓷球铰接在聚乙烯或金属/陶瓷半球杯上组成。但是,这些人造关节确实会磨损,并且在成功使用10-20年后,它们的临床表现开始下降。对于硬对硬轴承,磨损深度和体积仍然很小,其测量仍然是当前技术的挑战。基于彩色编码共焦测量方法的新型非接触式RedLux人工髋关节轮廓仪已经开发出来,因此可以在短时间内准确,可重复地测量这些关节。系统输出未磨损零件的零件半径,线性磨损深度,并提供磨损量。介绍了设计原理,并表征了设备测量磨损零件(线性磨损在几微米到几十微米之间)的能力,并将其与激光千分尺直径测量,线性磨损的圆度测量和重量磨损评估相关联。人工髋关节轮廓仪能够测量20 nm分辨率的球形轴承表面。对于所考虑的三个参数,与基准方法的相关性非常高,线性磨损量和体积磨损量的相关系数分别为1.02和0.95。 R值分别为0.988和0.996。

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