A methodology to accurately quantify patellofemoral cartilage contact kinematics by combining 3D image shape registration and cine-PC MRI velocity data.
A methodology to accurately quantify patellofemoral cartilage contact kinematics by combining 3D image shape registration and cine-PC MRI velocity data.
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DOI：
10.1016/j.jbiomech.2011.12.025
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发表时间：
2012-04-05
影响因子：
2.4
通讯作者：
Sheehan FT
中科院分区：
文献类型：
--
作者：
Borotikar BS;Sipprell WH 3rd;Wible EE;Sheehan FT
髌股骨关节炎及其潜在的前驱髌股疼痛综合征（PFPS）是常见的、昂贵的和使人衰弱的疾病。PFPS已被证明与髌股关节力学改变有关;然而，由于准确量化体内接触运动学（面积和位置）的挑战，尚未确定关节接触应力的实际变化。本研究开发并验证了一种通过结合三种磁共振成像（MRI）技术（电影相位对比（CPC）、多平面电影（MPC）和3D高分辨率静态成像）跟踪动态体内软骨接触运动学的方法。CPC和MPC数据采集自12名健康志愿者，同时他们在MRI扫描仪内主动伸展/屈曲膝关节。由于体内动态软骨接触运动学的量化没有金标准，因此跟踪单个点（相对于股骨的髌骨原点）的准确性代表了跟踪整个表面运动学的准确性。通过MPC图像与静态模型的配准推导出的PF运动学与通过CPC速度数据的整合推导出的PF运动学之间的平均绝对误差来确定精度。髌骨和股骨的准确度范围为0.47mm-0.77mm，髌股关节的准确度范围为0.68mm-0.86mm。对于纯粹量化关节运动学，CPC仍然是一种分析上更简单和更准确（精度< 0.33mm）的技术。然而，对于需要跟踪整个表面的应用，例如量化软骨接触运动学，这种组合成像方法以最少的操作者干预产生准确的结果。
Patellofemoral osteoarthritis and its potential precursor patellofemoral pain syndrome (PFPS) are common, costly, and debilitating diseases. PFPS has been shown to be associated with altered patellofemoral joint mechanics; however, an actual variation in joint contact stresses has not been established due to challenges in accurately quantifying in vivo contact kinematics (area and location). This study developed and validated a method for tracking dynamic, in vivo cartilage contact kinematics by combining three magnetic resonance imaging (MRI) techniques, cine-phase contrast (CPC), multi-plane cine (MPC), and 3D high-resolution static imaging. CPC and MPC data were acquired from 12 healthy volunteers while they actively extended/flexed their knee within the MRI scanner. Since no gold standard exists for the quantification of in vivo dynamic cartilage contact kinematics, the accuracy of tracking a single point (patellar origin relative to the femur) represented the accuracy of tracking the kinematics of an entire surface. The accuracy was determined by the average absolute error between the PF kinematics derived through registration of MPC images to a static model and those derived through integration of the CPC velocity data. The accuracy ranged from 0.47mm–0.77mm for the patella and femur and 0.68mm–0.86 mm for the patellofemoral joint. For purely quantifying joint kinematics, CPC remains an analytically simpler and more accurate (accuracy < 0.33mm) technique. However, for application requiring the tracking of an entire surface, such as quantifying cartilage contact kinematics, this combined imaging approach produces accurate results with minimal operator intervention.
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影响因子：
27.4
作者：
Thorstensson, C. A.;Andersson, M. L. E.;Petersson, I. F.
通讯作者：
Petersson, I. F.
影响因子：
1.9
作者：
Utting, MR;Davies, G;Newman, JH
通讯作者：
Newman, JH
影响因子：
2.6
作者：
Bey, Michael J;Kline, Stephanie K;Zauel, Roger
通讯作者：
Zauel, Roger
影响因子：
2.2
作者：
Lin, Yi-Chung;Haftka, Raphael T.;Fregly, Benjamin J.
通讯作者：
Fregly, Benjamin J.
DOI：
10.1111/j.1600-0838.2009.00996.x
发表时间：
2010-10
影响因子：
4.1
作者：
Boling M;Padua D;Marshall S;Guskiewicz K;Pyne S;Beutler A
通讯作者：
Beutler A