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

Abstract

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-meansquare (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.

Computational evaluation of altered biomechanics related to articular cartilage lesions observed in vivo

“…a) to the reference point located at the middle of transepicondylar axis of femur and fixing the distal end of tibia. Varus‐valgus movement was set free to ensure sufficient contact between both lateral and medial condyles of the knee whereas anterior–posterior and medial‐lateral movements were restricted due to their small variations and internal‐external rotation due to its patient‐specific alteration . More detailed description of implementing the load can be found from the previous study …”

High muscle co‐contraction does not result in high joint forces during gait in anterior cruciate ligament deficient knees

“…Moments were normalized to % body weight * height (% BW * HT) . Anteroposterior tibial translations (APTT) were computed by converting the femoral translation to that of the tibia relative to the femur …”

“…14 Anteroposterior tibial translations (APTT) were computed by converting the femoral translation to that of the tibia relative to the femur. 15,16 Surface electromyography (EMG) data were also collected during gait. 17 EMG electrode placement was based on recommendations of the SENIAM (Surface Electromyography for the Non-Invasive Assessment of Muscles) project.…”

2D/3D reconstruction of the distal femur using statistical shape models addressing personalized surgical instruments in knee arthroplasty: A feasibility analysis

“…In, the authors evaluated the possibility of investigating in vivo knee kinematics by means of a dual‐fluoroscopic imaging system using a SSM was built upon 153 healthy subjects. The reconstruction errors of the femur surface were in the range of about 1.20 mm, again in agreement with our results.…”