Using MR Imaging and X-Ray Fluoroscopy to Quantify the Effects of Soft-Tissue Artifact on Measurement of Knee-Joint Kinematics

2009 ◽  
Author(s):  
Massoud Akbarshahi ◽  
Justin W. Fernandez ◽  
Anthony Schache ◽  
Richard Baker ◽  
Marcus G. Pandy
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Soft Tissues ◽  
Surgical Techniques ◽  
Joint Kinematics ◽  
Segmental Motion ◽  
Coordinate Systems ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

The ability to accurately measure joint kinematics in vivo is of critical importance to researchers in the field of biomechanics [1]. Applications range from the quantitative evaluation of different surgical techniques, treatment methods and/or implant designs, to the development of computer-based models capable of simulating normal and pathological musculoskeletal conditions [1,2]. Currently, non-invasive marker-based three dimensional (3D) motion analysis is the most commonly used method for quantitative assessment of normal and pathological locomotion. The accuracy of this technique is influenced by movement of the soft tissues relative to the underlying bones, which causes inaccuracies in the determination of segmental anatomical coordinate systems and tracking of segmental motion. The purpose of this study was to quantify the errors in the measurement of knee-joint kinematics due solely to soft-tissue artifact (STA) in healthy subjects. To facilitate valid inter-subject comparisons of the kinematic data, relevant anatomical coordinate systems were defined using 3D bone models generated from magnetic resonance imaging (MRI).

A Femoral Clamp to Reduce Soft Tissue Artifact: Accuracy and Reliability in Measuring Three-Dimensional Knee Kinematics During Gait

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Ziyun Ding ◽  
Manuela Güdel ◽  
Samuel H. L. Smith ◽  
Richard A. Ademefun ◽  
Anthony M. J. Bull
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Degrees Of Freedom ◽  
Intraclass Correlation ◽  
Joint Kinematics ◽  
Cluster Method ◽  
Coefficient Of Determination ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact ◽  
Rigid Cluster

Abstract The accurate measurement of full six degrees-of-freedom (6DOFs) knee joint kinematics is prohibited by soft tissue artifact (STA), which remains the greatest source of error. The purpose of this study was to present and assess a new femoral clamp to reduce STA at the thigh. It was hypothesized that the device can preserve the natural knee joint kinematics pattern and outperform a conventional marker mounted rigid cluster during gait. Six healthy subjects were asked to walk barefoot on level ground with a cluster marker set (cluster gait) followed by a cluster-clamp-merged marker set (clamp gait) and their kinematics was measured using the cluster method in cluster gait and the cluster and clamp methods simultaneously in clamp gait. Two operators performed the gait measurement. A 6DOFs knee joint model was developed to enable comparison with the gold standard knee joint kinematics measured using a dual fluoroscopic imaging technique. One-dimensional (1D) paired t-tests were used to compare the knee joint kinematics waveforms between cluster gait and clamp gait. The accuracy was assessed in terms of the root-mean-square error (RMSE), coefficient of determination, and Bland–Altman plots. Interoperator reliability was assessed using the intraclass correlation coefficient (ICC). The result showed that the femoral clamp did not change the walking speed and knee joint kinematics waveforms. Additionally, clamp gait reduced the rotation and translation errors in the transverse plane and improved the interoperator reliability when compared to the rigid cluster method, suggesting a more accurate and reliable measurement of knee joint kinematics.

Non-invasive assessment of soft-tissue artifact and its effect on knee joint kinematics during functional activity

2010 ◽  
Vol 43 (7) ◽  
pp. 1292-1301 ◽  
Author(s):  
Massoud Akbarshahi ◽  
Anthony G. Schache ◽  
Justin W. Fernandez ◽  
Richard Baker ◽  
Scott Banks ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Functional Activity ◽  
Joint Kinematics ◽  
Non Invasive ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

scholarly journals Development and evaluation of a new methodology for Soft Tissue Artifact compensation in the lower limb

2021 ◽  
Author(s):  
Bhrigu K. Lahkar ◽  
Pierre-Yves Rohan ◽  
Ayman Assi ◽  
Helene Pillet ◽  
Xavier Bonnet ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Lower Limb ◽  
Healthy Subjects ◽  
Motor Task ◽  
Joint Kinematics ◽  
Skin Marker ◽  
Flexion Extension ◽  
Knee Joint Kinematics ◽  
Soft Tissue Artifact

AbstractSkin Marker (SM) based motion capture is the most widespread technique used for motion analysis. Yet, the accuracy is often hindered by Soft Tissue Artifact (STA). This is a major issue in clinical gait analysis where kinematic results are used for decision-making. It also has a considerable influence on the results of rigid body and Finite Element (FE) musculoskeletal models that rely on SM-based kinematics to estimate muscle, contact and ligament forces. Current techniques designed to compensate for STA, in particular multi-body optimization methods, assume anatomical simplifications to define joint constraints. These methods, however, cannot adapt to subjects’ bone morphology, particularly for patients with joint lesions, nor easily can account for subject- and location-dependent STA. In this perspective, we propose to develop a conceptual FE based model of the lower limb for STA compensation and evaluate it for 66 healthy subjects under level walking motor task.Both hip and knee joint kinematics were analyzed, considering both rotational and translational joint motion. Results showed that STA caused underestimation of the hip joint kinematics (up to 2.2°) for all rotational DoF, and overestimation of knee joint kinematics (up to 12°) except in flexion/extension. Joint kinematics, in particular the knee joint, appeared to be sensitive to soft tissue stiffness parameters (rotational and translational mean difference up to 1.5° and 3.4 mm). Analysis of the results using alternative joint representations highlighted the versatility of the proposed modeling approach. This work paves the way for using personalized models to compensate for STA in healthy subjects and different activities.

Cadaveric Evaluation of Knee Joint Kinematics Using the Kansas Knee Simulator

2013 ◽  
Author(s):  
Sami Shalhoub ◽  
Fallon Fitzwater ◽  
Lorin Maletsky
Keyword(s):  
Soft Tissue ◽  
Knee Joint ◽  
Computational Models ◽  
Surgical Techniques ◽  
Joint Kinematics ◽  
Joint Function ◽  
Knee Simulator ◽  
Knee Joint Kinematics

Computational models of the knee are useful for evaluating changes in kinematics, soft tissue loadings, new prosthetic geometries, and surgical techniques [1, 2]. These models are advantageous in their ability to quickly and efficiently evaluate the effect of changes in these parameters on knee joint function. The limitation of modeling is that the results are greatly influenced by the constraints and parameters used to create the model.

The Effect of the Accuracy of Various Measuring Devices on Recorded Joint Kinematics

2004 ◽  
Author(s):  
Susan M. Moore ◽  
Mary T. Gabriel ◽  
Maribeth Thomas ◽  
Jennifer Zeminski ◽  
Savio L.-Y. Woo ◽  
...  
Keyword(s):  
Knee Joint ◽  
Coordinate System ◽  
Joint Kinematics ◽  
Optical Tracking ◽  
Global Coordinate System ◽  
Coordinate Systems ◽  
Measurement Device ◽  
Knee Joint Kinematics ◽  
Measurement Devices ◽  
Tracking Device

Knowledge of joint kinematics contributes to the understanding of the function of soft tissue restraints, injury mechanisms, and can be used to evaluate surgical repair techniques. (Tibone, McMahon et al. 1998; Karduna, McClure et al. 2001; Abramowitch, Papageorgiou et al. 2003) Previous studies have measured joint kinematics using a variety of non-invasive methods that include: optical tracking, magnetic tracking, and mechanical linkage systems. (Rudins, Laskowski et al. 1997; Apreleva, Hasselman et al. 1998; Gabriel, Wong et al. 2004) These measurement devices report kinematics of rigid bodies with respect their own global coordinate system. However, it is often useful to understand these kinematics in terms of a coordinate system whose axes coincide with the degrees of freedom of each specific joint (anatomical coordinate systems). Once the kinematics are obtained with respect to the global coordinate system of the measurement device, the joint kinematics can be calculated with respect to anatomical coordinate systems if the relationship between the measurement device and the anatomical coordinate systems are known. Although the accuracy of these kinematic measurement devices is provided by the manufacturer, the effect of their accuracy on joint kinematics reported with respect to anatomical coordinate systems must be determined. (Panjabi, Goel et al. 1982; Crisco, Chen et al. 1994) For example, small errors in orientation of the measurement system could lead to large errors in position for an anatomical coordinate system located at some distance away. As researchers report joint kinematics with respect to the anatomical coordinate systems, understanding the errors produced by one’s measurement device with respect to the anatomical coordinate systems is necessary. Further, a great deal of interest exists for studying knee joint kinematics. (Sakane, Livesay et al. 1999; Lephart, Ferris et al. 2002; Ford, Myer et al. 2003) Within our research center our goal is to collect knee joint kinematics of a cadaver and reproduce them with respect to the anatomical coordinate systems using robotic technology. Therefore, the objective of this study was to determine the effect of the accuracy of three measurement devices (optical tracking device-OptoTrak® 3020, magnetic tracking device-Flock of Birds®, instrumented spatial linkage-EnduraTec Corp.) on knee joint kinematics reported with respect to an anatomical coordinate system.

scholarly journals Prediction of In Vivo Knee Joint Kinematics Using a Combined Dual Fluoroscopy Imaging and Statistical Shape Modeling Technique

2014 ◽  
Vol 136 (12) ◽  
Author(s):  
Jing-Sheng Li ◽  
Tsung-Yuan Tsai ◽  
Shaobai Wang ◽  
Pingyue Li ◽  
Young-Min Kwon ◽  
...  
Keyword(s):  
Knee Joint ◽  
Knee Kinematics ◽  
Joint Kinematics ◽  
Shape Modeling ◽  
Modeling Technique ◽  
Statistical Shape ◽  
Knee Joint Kinematics ◽  
Statistical Shape Modeling ◽  
Rms Errors

Using computed tomography (CT) or magnetic resonance (MR) images to construct 3D knee models has been widely used in biomedical engineering research. Statistical shape modeling (SSM) method is an alternative way to provide a fast, cost-efficient, and subject-specific knee modeling technique. This study was aimed to evaluate the feasibility of using a combined dual-fluoroscopic imaging system (DFIS) and SSM method to investigate in vivo knee kinematics. Three subjects were studied during a treadmill walking. The data were compared with the kinematics obtained using a CT-based modeling technique. Geometric root-mean-square (RMS) errors between the knee models constructed using the SSM and CT-based modeling techniques were 1.16 mm and 1.40 mm for the femur and tibia, respectively. For the kinematics of the knee during the treadmill gait, the SSM model can predict the knee kinematics with RMS errors within 3.3 deg for rotation and within 2.4 mm for translation throughout the stance phase of the gait cycle compared with those obtained using the CT-based knee models. The data indicated that the combined DFIS and SSM technique could be used for quick evaluation of knee joint kinematics.

scholarly journals Knee implant kinematics are task-dependent

2019 ◽  
Vol 16 (151) ◽  
pp. 20180678 ◽  
Author(s):  
Pascal Schütz ◽  
Barbara Postolka ◽  
Hans Gerber ◽  
Stephen J. Ferguson ◽  
William R. Taylor ◽  
...  
Keyword(s):  
Knee Joint ◽  
Joint Kinematics ◽  
Functional Activities ◽  
Stair Descent ◽  
Significant Difference ◽  
Knee Joint Kinematics ◽  
Posterior Translation ◽  
Pain Knowledge ◽  
Anterior Posterior

Although total knee arthroplasty (TKA) has become a standard surgical procedure for relieving pain, knowledge of the in vivo knee joint kinematics throughout common functional activities of daily living is still missing. The goal of this study was to analyse knee joint motion throughout complete cycles of daily activities in TKA subjects to establish whether a significant difference in joint kinematics occurs between different activities. Using dynamic videofluoroscopy, we assessed tibio-femoral kinematics in six subjects throughout complete cycles of walking, stair descent, sit-to-stand and stand-to-sit. The mean range of condylar anterior–posterior translation exhibited clear task dependency across all subjects. A significantly larger anterior–posterior translation was observed during stair descent compared to level walking and stand-to-sit. Local minima were observed at approximately 30° flexion for different tasks, which were more prominent during loaded task phases. This characteristic is likely to correspond to the specific design of the implant. From the data presented in this study, it is clear that the flexion angle alone cannot fully explain tibio-femoral implant kinematics. As a result, it seems that the assessment of complete cycles of the most frequent functional activities is imperative when evaluating the behaviour of a TKA design in vivo .

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