Connolly K D, Ronsky J L, Westover L M, Küpper J C, Frayne R
Department of Mechanical and Manufacturing Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive Northwest, Calgary, AB, T2N 1N4, Canada.
J Biomech Eng. 2009 Dec;131(12):124503. doi: 10.1115/1.3212111.
Quantifying joint congruence may help to understand the relationship between joint function and health. In previous studies, a congruence index (CI) has been used to define subject-specific joint congruence. However, the sensitivity of the CI algorithm to surface representation was unknown. The purpose of this study was to assess the effects of applying five modifications (M1-M5) to the CI algorithm to determine whether the magnitude and variability of the patellofemoral CI is dependent on the surface representation used. The five modifications focused on calculating the CI based on the principal curvature (M1) at the centroid of the contact region, (M2) using an root mean square value for the contact region, (M3) using a mean value for the contact region, (M4) using all digitized points of the patellar surface, and (M5) using all digitized points in contact. The CI found using the contact area (M1, M2, M3, and M5) provides a local measure for congruence, which was shown to increase (decreasing CI) with increasing joint angle. In ten healthy subjects measured with magnetic resonance (MR) images, the patellofemoral joint became significantly more congruent as the knee angle increased from 15 deg to 45 deg using method M5. The magnitude and variability of the patellofemoral CI was dependent on the surface representation used, suggesting that standardization of the surface representation is important to provide a consistent measure. Specifically, M5 provides a local measure of joint congruence, which can account for joint position and orientation. M5 balances the ability to detect differences in congruence between knee angles without introducing high variability.
量化关节匹配度可能有助于理解关节功能与健康之间的关系。在先前的研究中,匹配度指数(CI)已被用于定义个体特异性的关节匹配度。然而,CI算法对表面表示的敏感性尚不清楚。本研究的目的是评估对CI算法应用五种修改(M1 - M5)的效果,以确定髌股关节CI的大小和变异性是否取决于所使用的表面表示。这五种修改集中在基于接触区域质心处的主曲率计算CI(M1)、对接触区域使用均方根值(M2)、对接触区域使用平均值(M3)、使用髌骨表面的所有数字化点(M4)以及使用所有接触的数字化点(M5)。使用接触面积找到的CI(M1、M2、M3和M5)提供了一种局部匹配度测量方法,结果显示随着关节角度增加,该测量值会增加(CI减小)。在通过磁共振(MR)图像测量的10名健康受试者中,使用方法M5时,随着膝关节角度从15度增加到45度,髌股关节的匹配度显著提高。髌股关节CI的大小和变异性取决于所使用的表面表示,这表明表面表示的标准化对于提供一致的测量很重要。具体而言,M5提供了一种局部关节匹配度测量方法,它可以考虑关节的位置和方向。M5在不引入高变异性的情况下,平衡了检测膝关节角度之间匹配度差异的能力。