Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images

Ohnishi, Takashi; Suzuki, Masahiko; Nawata, Aya; Naomoto, Shinji; Iwasaki, Tetsuji; Haneishi, Hideaki

doi:10.1007/s12194-010-0090-1

Cited by 27 publications

(13 citation statements)

References 18 publications

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“…However, the reported measurement errors sometimes exceeded the commonly accepted criteria of mean error of 1.0 mm in translation and 1.0° in rotation. To improve the anatomical accuracy, several studies conducted radiographic scans from two directions; however, the application of these techniques is restricted by the limited availability of special equipment, facilities, and increased x‐ray exposure. Patellar kinematics have often been studied in vitro, for both natural and artificial knees.…”

Section: Discussionmentioning

confidence: 99%

Three‐dimensional motion analysis of the patellar component in total knee arthroplasty by the image matching method using image correlations

Ishimaru

Shiraishi

Ikebe

et al. 2014

Journal Orthopaedic Research

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In total knee arthroplasty (TKA), the patella is significantly associated with range of motion and gait performance. Currently, no highly accurate methods are available that can measure the 3D in vivo behavior of the TKA patellar component, as the component is made of x-ray-permeable ultra-high molecular weight polyethylene. Previously, we developed a computer simulation that matches CT scan and unidirectional radiographic images using image correlations, and applied it to kinematic studies of natural and TKA knees. The examination of the measurement accuracy for the patellar bone of a fresh-frozen pig knee joint yielded a root mean square error of 0.2 mm in translation and 0.2˚in rotation. In this study, we recruited four patients who had a TKA and investigated 3D movements of the patellar component during squatting. We could visualize the patellar component using the position of the holes drilled for the component peg, and estimated and visualized the contact points between the patellar and femoral components. The principles and the utility of the simulation method are reported. This analytical method is useful for evaluating the pathologies and post-surgical conditions of the knee and other joints. Total knee arthroplasty (TKA) is a reliable surgical procedure for reconstructing severely impaired knee joints. TKA can improve pain relief, functional mobility, weight-bearing capability, and patient quality of life.1 The widespread use of TKA promoted studies on TKA kinematics, particularly of the femorotibial joint.2,3 TKA knee kinematics, including range of motion (ROM) and physical performance, are also influenced by the biomechanical properties of the patella. Surgeons sometimes report post-TKA complications involving the patellofemoral articulation, for example, anterior knee pain, patellofemoral impingement and instability.4,5 Therefore, it is important to examine whether the implanted total knee prosthesis is functioning as designed. However, conventional imaging techniques cannot analyze the biomechanical characteristics of the patellofemoral joint accurately enough because of the small volume of patella bone and the overlapping of patellar and femoral silhouettes on scan images. In TKA, the patella is commonly resurfaced, which further reduces its volume, and the radiopaque metal femoral component is often superimposed on the patellar component on 2D images. In addition, the patellar component is made of radiolucent ultra-high molecular weight polyethylene. Therefore, it is impossible to determine radiographically the external contour of the patellar component precisely. Because of these technical limitations, no methods have been established to track the dynamic in vivo trajectory of the patella.Previously, we developed a unique computerassisted image matching procedure to analyze the kinematics of natural and TKA knees by applying an image window-based analytical method to serial unidirectional x-ray scans. [6][7][8][9][10] In this study, we aimed to visualize the patellar component and iden...

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Section: Discussionmentioning

confidence: 99%

Three‐dimensional motion analysis of the patellar component in total knee arthroplasty by the image matching method using image correlations

Ishimaru

Shiraishi

Ikebe

et al. 2014

Journal Orthopaedic Research

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“…An accurate method of joint center localization is essential for kinematic and kinetic calculations in movement analysis [1]. To estimate the location of the hip joint center (HJC), previous studies have used predictive [2,3], functional [4,5] or medical image based [6][7][8][9] methods. Predictive and functional methods offer easy integration into existing clinical assessment but their accuracy needs to be established before implementation.…”

Section: Introductionmentioning

confidence: 99%

A reference method for the evaluation of femoral head joint center location technique based on external markers

et al. 2014

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Accurate localization of joint centers is essential in movement analysis. However, joint centers cannot be directly palpated and alternative methods must be used. To assess the relative merits of these methods, a medical image based reference should be used. The EOS(®) system, a new low dose bi-planar X-rays imaging technique may be considered. The aim of this study was to evaluate the accuracy of hip joint center (HJC) localization using the EOS(®) system. Seventeen healthy young adults participated in the study. Femoral heads and pelvic external markers were localized using the EOS(®) system and the HJCs were expressed in the movement analysis coordinate system. Results showed that external marker localization was reliable within 0.15 mm for trained assessors. Mean accuracy for HJC localization was 2.9 mm (SD: 1.3, max: 6.2). The EOS based method therefore appeared reliable and may be used for femoral head localization or as a reference to assess the accuracy of other methods for HJC localization.

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“…An accuracy evaluation experiment was performed on a pelvis and femur of a pig carcass [ 11 , 13 ]. The pelvis and femur fixed to a stage were rotated and translated to known values [ 13 , 14 ].…”

Section: Methodsmentioning

confidence: 99%

Kinematic Analysis of Healthy Hips during Weight-Bearing Activities by 3D-to-2D Model-to-Image Registration Technique

Hara

Nakashima

Hamai

et al. 2014

BioMed Research International

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Dynamic hip kinematics during weight-bearing activities were analyzed for six healthy subjects. Continuous X-ray images of gait, chair-rising, squatting, and twisting were taken using a flat panel X-ray detector. Digitally reconstructed radiographic images were used for 3D-to-2D model-to-image registration technique. The root-mean-square errors associated with tracking the pelvis and femur were less than 0.3 mm and 0.3° for translations and rotations. For gait, chair-rising, and squatting, the maximum hip flexion angles averaged 29.6°, 81.3°, and 102.4°, respectively. The pelvis was tilted anteriorly around 4.4° on average during full gait cycle. For chair-rising and squatting, the maximum absolute value of anterior/posterior pelvic tilt averaged 12.4°/11.7° and 10.7°/10.8°, respectively. Hip flexion peaked on the way of movement due to further anterior pelvic tilt during both chair-rising and squatting. For twisting, the maximum absolute value of hip internal/external rotation averaged 29.2°/30.7°. This study revealed activity dependent kinematics of healthy hip joints with coordinated pelvic and femoral dynamic movements. Kinematics' data during activities of daily living may provide important insight as to the evaluating kinematics of pathological and reconstructed hips.

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Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images

Cited by 27 publications

References 18 publications

Three‐dimensional motion analysis of the patellar component in total knee arthroplasty by the image matching method using image correlations

Three‐dimensional motion analysis of the patellar component in total knee arthroplasty by the image matching method using image correlations

A reference method for the evaluation of femoral head joint center location technique based on external markers

Kinematic Analysis of Healthy Hips during Weight-Bearing Activities by 3D-to-2D Model-to-Image Registration Technique

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