Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Knee Joint

Knee Joint

The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris group...

Development of the Limb Synovial Joints

Development of the Limb Synovial Joints

Joints form during embryonic development in conjunction with the formation and growth of the associated bones. The embryonic tissue that gives rise to all bones, cartilage, and connective tissues of the body is called mesenchyme.
The mesenchymal stem cells differentiate into chondrocytes that form the hyaline cartilage, and later the cartilaginous model of the bone. This model further transforms into a bone. This process is known as endochondral ossification.
During development, the limbs...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Oral hydrogel systems in lower gastrointestinal disorders: From disease-based therapy to microbiota-guided design.

Materials today. Bio·2026

Same author

Standardized Effect Measures Informing Next-Generation Strategies for Mechanical Stimulation in Cartilage Tissue Engineering.

Advanced healthcare materials·2026

Same author

Abnormal Stress Reduced miR-330 Supplementation Alleviates Osteoarthritis Progression by Suppressing Osteochondral Catabolism.

Aging cell·2026

Same author

Running Speed is Maximized by Strengthening the Hip Flexors and Hip Adductors.

Annals of biomedical engineering·2026

Same author

Correction: Genetic Evidence Supports a Potential Role of WTAP-related m6A Regulation in Vascular Dementia: Insights from Mendelian Randomization and Multi-omics Analyses.

Journal of molecular neuroscience : MN·2026

Same author

Hip Joint Loading During Walking Is Associated With Cartilage Defect Severity in Young Adult Football Players With Hip/Groin Pain.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2026

Same journal

Healthy knee asymmetry is a potential risk factor for knee osteoarthritis: Data from the osteoarthritis initiative.

Osteoarthritis imaging·2026

Same journal

Impact of quantified knee positioning on the measurement of minimal joint space width using statistical shape models: A cross-sectional and longitudinal analysis in the IMI-APPROACH.

Osteoarthritis imaging·2026

Same journal

Exploratory analysis of infrapatellar fat pad MRI-based radiomics for detection of knee structure abnormalities in collegiate basketball players and swimmers.

Osteoarthritis imaging·2026

Same journal

Erratum regarding missing Declaration of interests and Ethical approval statements in the previously published articles.

Osteoarthritis imaging·2026

Same journal

Perspective: Genicular artery embolization for knee osteoarthritis - When the hype doesn't match the evidence.

Osteoarthritis imaging·2026

Same journal

Comparative evaluation of weight-bearing cone beam CT arthrography and supine 3T MRI in knee osteoarthritis.

Osteoarthritis imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 5, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

Recent developments in computational modelling of the knee.

Kaiwen Yang¹, Marcus G Pandy¹

¹Department of Mechanical Engineering, University of Melbourne, Parkville, Victoria 3101, Australia.

Osteoarthritis Imaging

|June 4, 2026

Summary

This summary is machine-generated.

Computational models of knee joint loading vary from rigid to deformable simulations. Finite-element models offer detailed insights but are computationally intensive, while rigid-body models are faster for calculating joint contact forces.

Keywords:

Elastic foundation knee model Finite-element knee model Joint contact Muscle force optimization

More Related Videos

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

Published on: January 27, 2023

Related Experiment Videos

Last Updated: Jun 5, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

Published on: January 27, 2023

Area of Science:

Biomechanics
Computational modeling
Orthopedics

Background:

Knee joint loading calculations range from simplified rigid-body models to complex finite-element analyses.
Understanding knee contact mechanics is crucial for diagnosing and treating joint conditions.

Purpose of the Study:

To review recent advancements in computational modeling of knee contact mechanics.
To discuss challenges and future directions in simulating knee joint loading.

Main Methods:

Comparison of rigid-body models using elastic foundation theory with finite-element models (FEM).
Analysis of computational costs and challenges in muscle-force optimization within FEM.

Main Results:

Rigid-body models offer faster calculations of muscle and joint contact forces.
Fully deformable FEM are computationally expensive, requiring days to weeks for similar calculations.

Conclusions:

Accurate simulation of knee contact mechanics using FEM remains computationally challenging.
Future research should focus on efficient optimization methods for dynamic simulations and predictive modeling.