Literature DB >> 20359933

A subject specific multibody model of the knee with menisci.

Trent M Guess1, Ganesh Thiagarajan, Mohammad Kia, Meenakshi Mishra.   

Abstract

The menisci of the knee play an important role in joint function and our understanding of knee mechanics and tissue interactions can be enhanced through computational models of the tibio-menisco-femoral structure. Several finite element models of the knee that include meniscus-cartilage contact exist, but these models are typically limited to simplified boundary conditions. Movement simulation and musculoskeletal modeling can predict muscle forces, but are typically performed using the multibody method with simplified representation of joint structures. This study develops a subject specific computational model of the knee with menisci that can be incorporated into neuromusculoskeletal models within a multibody framework. Meniscus geometries from a 78-year-old female right cadaver knee were divided into 61 discrete elements (29 medial and 32 lateral) that were connected through 6x6 stiffness matrices. An optimization and design of experiments approach was used to determine parameters for the 6x6 stiffness matrices such that the force-displacement relationship of the meniscus matched that of a linearly elastic transversely isotropic finite element model for the same cadaver knee. Similarly, parameters for compliant contact models of tibio-menisco-femoral articulations were derived from finite element solutions. As a final step, a multibody knee model was developed and placed within a dynamic knee simulator model and the tibio-femoral and patello-femoral kinematics compared to an identically loaded cadaver knee. RMS errors between finite element displacement and multibody displacement after parameter optimization were 0.017 mm for the lateral meniscus and 0.051 mm for the medial meniscus. RMS errors between model predicted and experimental cadaver kinematics during a walk cycle were less than 11 mm translation and less than 7 degrees orientation. A small improvement in kinematics, compared to experimental measurements, was seen when the menisci were included versus a model without the menisci. With the menisci the predicted tibio-femoral contact force was significantly reduced on the lateral side (937 N peak force versus 633 N peak force), but no significant reduction was seen on the medial side. Copyright 2010 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20359933     DOI: 10.1016/j.medengphy.2010.02.020

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  35 in total

1.  Loading of the medial meniscus in the ACL deficient knee: A multibody computational study.

Authors:  Trent M Guess; Swithin Razu
Journal:  Med Eng Phys       Date:  2017-01-11       Impact factor: 2.242

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.  Predicted loading on the menisci during gait: The effect of horn laxity.

Authors:  Trent M Guess; Swithin Razu; Hamidreza Jahandar; Antonis Stylianou
Journal:  J Biomech       Date:  2015-03-14       Impact factor: 2.712

8.  Estimating patient-specific soft-tissue properties in a TKA knee.

Authors:  Joseph A Ewing; Michelle K Kaufman; Erin E Hutter; Jeffrey F Granger; Matthew D Beal; Stephen J Piazza; Robert A Siston
Journal:  J Orthop Res       Date:  2015-09-08       Impact factor: 3.494

9.  Prediction and Validation of Load-Dependent Behavior of the Tibiofemoral and Patellofemoral Joints During Movement.

Authors:  Rachel L Lenhart; Jarred Kaiser; Colin R Smith; Darryl G Thelen
Journal:  Ann Biomed Eng       Date:  2015-04-28       Impact factor: 3.934

10.  Biphasic finite element contact analysis of the knee joint using an augmented Lagrangian method.

Authors:  Hongqiang Guo; Suzanne A Maher; Robert L Spilker
Journal:  Med Eng Phys       Date:  2013-03-15       Impact factor: 2.242

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