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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...

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Related Experiment Video

Updated: Nov 15, 2025

A Friction Testing-Bioreactor Device for Study of Synovial Joint Biomechanics, Mechanobiology, and Physical Regulation

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Specimen specific imaging and joint mechanical testing data for next generation virtual knees.

Snehal Chokhandre^1,2, Erica E Neumann^1,2, Tara F Nagle^1,3

¹Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.

|March 4, 2021

Summary

This summary is machine-generated.

Creating virtual knees requires detailed, specimen-specific data. This study collected imaging and mechanical testing data to develop accurate virtual knee models for clinical simulations and research.

Keywords:

Finite element model Human knee MRI Mechanics Specimen-specific

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Published on: September 17, 2013

Area of Science:

Biomechanics
Medical Imaging
Computational Modeling

Background:

Virtual knee models require specimen-specific anatomical and mechanical data for accurate simulations.
Existing models often lack the detailed heterogeneous data needed for precise representation of joint mechanics.
Developing authentic, specimen-specific finite element models is crucial for clinical and scientific applications.

Purpose of the Study:

To detail the collection of magnetic resonance imaging (MRI) and mechanical testing data for eight knee specimens.
To establish a foundation for developing and assessing specimen-specific virtual knee models.
To guide future research associating anatomical and biomechanical markers in a specimen-specific manner.

Main Methods:

Acquired magnetic resonance imaging (MRI) data for detailed knee anatomy.
Performed tibiofemoral and patellofemoral joint mechanical testing to gather kinematics-kinetics and contact mechanics data.
Collected heterogeneous data from a cohort of eight knee specimens with diverse demographics and joint health.

Main Results:

Comprehensive imaging and mechanical data were successfully collected for eight distinct knee specimens.
The dataset includes specimen geometry, physiological joint kinematics-kinetics, and contact mechanics.
Data represent a range of populations with varying gender, age, and joint health.

Conclusions:

Combined imaging and mechanical data enable the development and assessment of authentic specimen-specific finite element models of the knee.
This dataset supports the creation of virtual knees with specimen-specific anatomy and mechanics.
The data can inform prospective studies on the association between anatomical and biomechanical markers.