Literature DB >> 21970765

A multibody knee model with discrete cartilage prediction of tibio-femoral contact mechanics.

Trent M Guess1, Hongzeng Liu, Sampath Bhashyam, Ganesh Thiagarajan.   

Abstract

Combining musculoskeletal simulations with anatomical joint models capable of predicting cartilage contact mechanics would provide a valuable tool for studying the relationships between muscle force and cartilage loading. As a step towards producing multibody musculoskeletal models that include representation of cartilage tissue mechanics, this research developed a subject-specific multibody knee model that represented the tibia plateau cartilage as discrete rigid bodies that interacted with the femur through deformable contacts. Parameters for the compliant contact law were derived using three methods: (1) simplified Hertzian contact theory, (2) simplified elastic foundation contact theory and (3) parameter optimisation from a finite element (FE) solution. The contact parameters and contact friction were evaluated during a simulated walk in a virtual dynamic knee simulator, and the resulting kinematics were compared with measured in vitro kinematics. The effects on predicted contact pressures and cartilage-bone interface shear forces during the simulated walk were also evaluated. The compliant contact stiffness parameters had a statistically significant effect on predicted contact pressures as well as all tibio-femoral motions except flexion-extension. The contact friction was not statistically significant to contact pressures, but was statistically significant to medial-lateral translation and all rotations except flexion-extension. The magnitude of kinematic differences between model formulations was relatively small, but contact pressure predictions were sensitive to model formulation. The developed multibody knee model was computationally efficient and had a computation time 283 times faster than a FE simulation using the same geometries and boundary conditions.

Entities:  

Mesh:

Year:  2011        PMID: 21970765     DOI: 10.1080/10255842.2011.617004

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  22 in total

Review 1.  Multiscale mechanics of articular cartilage: potentials and challenges of coupling musculoskeletal, joint, and microscale computational models.

Authors:  J P Halloran; S Sibole; C C van Donkelaar; M C van Turnhout; C W J Oomens; J A Weiss; F Guilak; A Erdemir
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

2.  Application of neural networks for the prediction of cartilage stress in a musculoskeletal system.

Authors:  Yunkai Lu; Palgun Reddy Pulasani; Reza Derakhshani; Trent M Guess
Journal:  Biomed Signal Process Control       Date:  2013-11-01       Impact factor: 3.880

3.  Concurrent prediction of muscle and tibiofemoral contact forces during treadmill gait.

Authors:  Trent M Guess; Antonis P Stylianou; Mohammad Kia
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

4.  Multibody muscle driven model of an instrumented prosthetic knee during squat and toe rise motions.

Authors:  Antonis P Stylianou; Trent M Guess; Mohammad Kia
Journal:  J Biomech Eng       Date:  2013-04       Impact factor: 2.097

5.  Dynamic simulation of tibial tuberosity realignment: model evaluation.

Authors:  Tserenchimed Purevsuren; John J Elias; Kyungsoo Kim; Yoon Hyuk Kim
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-07-15       Impact factor: 1.763

6.  Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement.

Authors:  Colin R Smith; Kwang Won Choi; Dan Negrut; Darryl G Thelen
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2016-05-13

7.  In vivo patellofemoral contact mechanics during active extension using a novel dynamic MRI-based methodology.

Authors:  B S Borotikar; F T Sheehan
Journal:  Osteoarthritis Cartilage       Date:  2013-09-03       Impact factor: 6.576

8.  Knee Abduction and Internal Rotation Moments Increase ACL Force During Landing Through the Posterior Slope of the Tibia.

Authors:  Alessandro Navacchia; Nathaniel A Bates; Nathan D Schilaty; Aaron J Krych; Timothy E Hewett
Journal:  J Orthop Res       Date:  2019-05-06       Impact factor: 3.494

9.  Evaluation of a musculoskeletal model with prosthetic knee through six experimental gait trials.

Authors:  Mohammad Kia; Antonis P Stylianou; Trent M Guess
Journal:  Med Eng Phys       Date:  2014-01-11       Impact factor: 2.242

10.  Dynamic tracking influenced by anatomy following medial patellofemoral ligament reconstruction: Computational simulation.

Authors:  John J Elias; Kerwyn C Jones; S Cyrus Rezvanifar; Joseph N Gabra; Melanie A Morscher; Andrew J Cosgarea
Journal:  Knee       Date:  2018-03-13       Impact factor: 2.199

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.