ArticleAnnals of biomedical engineering2022
Rapid X-Ray-Based 3-D Finite Element Modeling of Medial Knee Joint Cartilage Biomechanics During Walking.
Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Subject-Specific Finite Element Analysis of the Foot Using a Simplified Parametric Bone Model from Weight-Bearing Radiographs.Annals of biomedical engineering · 2026Article
- Swin UNETR Segmentation with Automated Geometry Filtering for Biomechanical Modeling of Knee Joint Cartilage.Annals of biomedical engineering · 2025Article
- Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.Annals of biomedical engineering · 2024Article
- Toward Fully Automated Personalized Orthopedic Treatments: Innovations and Interdisciplinary Gaps.Bioengineering (Basel, Switzerland) · 2024Review
- The effect of body weight on the knee joint biomechanics based on subject-specific finite element-musculoskeletal approach.Scientific reports · 2024Article
- Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage.Scientific reports · 2024Article
- Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks.Annals of biomedical engineering · 2023Article
- Recent Methods for Modifying Mechanical Properties of Tissue-Engineered Scaffolds for Clinical Applications.Biomimetics (Basel, Switzerland) · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
Finite element (FE) modeling is becoming an increasingly popular method for analyzing knee joint mechanics and biomechanical mechanisms leading to osteoarthritis (OA). The most common and widely available imaging method for knee OA diagnostics is planar X-ray imaging, while more sophisticated imaging methods, e.g., magnetic resonance imaging (MRI) and computed tomography (CT), are seldom used. Hence, the capability to produce accurate biomechanical knee joint models directly from X-ray imaging would bring FE modeling closer to clinical use. Here, we extend our atlas-based framework by generating FE knee models from X-ray images (N = 28). Based on measured anatomical landmarks from X-ray and MRI, knee joint templates were selected from the atlas library. The cartilage stresses and strains of the X-ray-based model were then compared with the MRI-based model during the stance phase of the gait. The biomechanical responses were statistically not different between MRI- vs. X-ray-based models when the template obtained from X-ray imaging was the same as the MRI template. However, if this was not the case, the peak values of biomechanical responses were statistically different between X-ray and MRI models. The developed X-ray-based framework may pave the way for a clinically feasible approach for knee joint FE modeling.
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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.