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 ◽  
...  

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.

Author(s):  
Massoud Akbarshahi ◽  
Justin W. Fernandez ◽  
Anthony Schache ◽  
Richard Baker ◽  
Marcus G. Pandy

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).


2013 ◽  
Vol 16 (04) ◽  
pp. 1350018
Author(s):  
Susumu Ota ◽  
Ai Nakanishi ◽  
Hirotaka Sato ◽  
Seiji Akita ◽  
Kazunori Hase ◽  
...  

Walking with poles is one of the gait modification strategies for reducing external knee varus moments in people with medial knee osteoarthritis (OA). However, there are two types of pole techniques, Nordic walking (NW: pole back condition) and pole walking (PW: pole front condition). The purpose of this study was to investigate the differences in knee joint kinematics, and kinetics during level walking, and two types of walking with poles. A total of 22 subjects with a mean age of 21.2 years (SD: 1.3 years) participated. Three-dimensional gait analysis was conducted on level walking (LW), NW and PW. The first and second peaks of the knee kinematic and kinetic data and ground reaction forces were used. No significant differences were found between NW and PW in the knee kinematics and kinetics data. The second peak of the knee varus moment in NW and PW (0.34 and 0.33 Nm/kg, respectively) was significantly decreased compared to LW (0.42 Nm/kg, p < 0.01; Effect size = 0.70, p < 0.01; Effect size = 0.82). The first peak of the flexion moment in the knee during NW (1.2 Nm/kg) was significantly higher compared to LW (1.2 Nm/kg, p < 0.01; Effect size = 0.98). However, the present study could not clarify any different effect on the knee joint due to different instructions of the back pole and forward pole technique.


2019 ◽  
Vol 16 (151) ◽  
pp. 20180678 ◽  
Author(s):  
Pascal Schütz ◽  
Barbara Postolka ◽  
Hans Gerber ◽  
Stephen J. Ferguson ◽  
William R. Taylor ◽  
...  

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 .


Author(s):  
Kento Morita ◽  
Manabu Nii ◽  
Norikazu Ikoma ◽  
Takatoshi Morooka ◽  
Shinichi Yoshiya ◽  
...  

Implanted knee kinematics recognition is required in total knee arthroplasty (TKA), which replaces damaged knee joint with artificial one. The 3-D kinematics of implanted knee in-vivo is used to quantify the knee function for diagnosis of TKA patients and to evaluate the design of TKA prosthesis and surgical techniques. There are some methods for the implanted knee kinematics estimation, however, those methods are classified into still image analysis. The discontinuous knee kinematics estimated by the still image analysis is not considered as the actual knee kinematics. This paper proposes an kinematics recognition method for implanted knee using particle filter. The proposed method estimates the 3-D pose/position parameters, which are varying in time, based on a priori knowledge of time evolution of the parameters represented by random walk models and utilizing similarity between acquired DR image frame and synthesized DR image based on hypothesized value of the parameters. The experimental results showed that the proposed method successfully estimated the 3-D implanted knee kinematics with an accuracy of 1.61 mm and 0.32°.


The Knee ◽  
2012 ◽  
Vol 19 (4) ◽  
pp. 260-265 ◽  
Author(s):  
Kiriakos Daniilidis ◽  
Adrian Skwara ◽  
Volker Vieth ◽  
Susanne Fuchs-Winkelmann ◽  
Walter Heindel ◽  
...  

2016 ◽  
Vol 35 (8) ◽  
pp. 1634-1643 ◽  
Author(s):  
Shanyuanye Guan ◽  
Hans A. Gray ◽  
Anthony G. Schache ◽  
Julian Feller ◽  
Richard de Steiger ◽  
...  

2013 ◽  
Vol 04 (05) ◽  
pp. 91-97 ◽  
Author(s):  
Ata M. Kiapour ◽  
Vikas Kaul ◽  
Ali Kiapour ◽  
Carmen E. Quatman ◽  
Samuel C. Wordeman ◽  
...  

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