ArticleJournal of biomechanical engineering2014
Prediction of in vivo knee joint kinematics using a combined dual fluoroscopy imaging and statistical shape modeling technique.
Article in Journal of biomechanical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Automatic registration of generic bone models for X-ray-based biomechanics: Application to 3D rat hindlimb kinematics and sex-specific gait patterns.Computers in biology and medicine · 2026Article
- Personalized musculoskeletal models show that gait biofeedback alters knee cartilage contact mechanics in ACL-reconstructed subjects.Journal of biomechanics · 2026Article
- Pose-aware deep perceptual similarity for iterative 2D/3D registration of knee joints using contrastive learning.International journal of computer assisted radiology and surgery · 2026Article
- Neural Implicit Shape and Intensity Models for Scan-Free 2D-3D Registration in Dynamic Stereo-Radiography.Annals of biomedical engineering · 2026Article
- Bone morphology and alignment features are associated with knee kinematics in healthy individuals: A scoping review.Journal of experimental orthopaedics · 2026Review
- Accuracy and Reliability of Synthetic Computed Tomography for Model-Based Tracking of Biplane Videoradiography Data.Annals of biomedical engineering · 2025Article
- Scan-Free and Fully Automatic Tracking of Native Knee Anatomy from Dynamic Stereo-Radiography with Statistical Shape and Intensity Models.Annals of biomedical engineering · 2024Article
- Article
- Creep-recovery behaviors of articular cartilage under uniaxial and biaxial tensile loadings.Frontiers in bioengineering and biotechnology · 2022Article
- Dual fluoroscopic imaging and CT-based finite element modelling to estimate forces and stresses of grafts in anatomical single-bundle ACL reconstruction with different femoral tunnels.International journal of computer assisted radiology and surgery · 2021Article
- High muscle co-contraction does not result in high joint forces during gait in anterior cruciate ligament deficient knees.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019Article
- Gaussian mixture models based 2D-3D registration of bone shapes for orthopedic surgery planning.Medical & biological engineering & computing · 2016Article
- A Novel Method to Simulate the Progression of Collagen Degeneration of Cartilage in the Knee: Data from the Osteoarthritis Initiative.Scientific reports · 2016Article
- Establishing a Customized Guide Plate for Osteotomy in Total Knee Arthroplasty Using Lower-extremity X-ray and Knee Computed Tomography Images.Chinese medical journal · 2016Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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-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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.