12 Degrees of Freedom Muscle Force Driven Fibril-Reinforced Poroviscoelastic Finite Element Model of the Knee Joint

Accurate knowledge of the joint kinematics, kinetics, and soft tissue mechanical responses is essential in the evaluation of musculoskeletal (MS) disorders. Since in vivo measurement of these quantities requires invasive methods, musculoskeletal finite element (MSFE) models are widely used for simulations. There are, however, limitations in the current approaches. Sequentially linked MSFE models benefit from complex MS and FE models; however, MS model's outputs are independent of the FE model calculations. On the other hand, due to the computational burden, embedded (concurrent) MSFE models are limited to simple material models and cannot estimate detailed responses of the soft tissue. Thus, first we developed a MSFE model of the knee with a subject-specific MS model utilizing an embedded 12 degrees of freedom (DoFs) knee joint with elastic cartilages in which included both secondary kinematic and soft tissue deformations in the muscle force estimation (inverse dynamics). Then, a muscle-force-driven FE model with fibril-reinforced poroviscoelastic cartilages and fibril-reinforced poroelastic menisci was used in series to calculate detailed tissue mechanical responses (forward dynamics). Second, to demonstrate that our workflow improves the simulation results, outputs were compared to results from the same FE models which were driven by conventional MS models with a 1 DoF knee, with and without electromyography (EMG) assistance. The FE model driven by both the embedded and the EMG-assisted MS models estimated similar results and consistent with experiments from literature, compared to the results estimated by the FE model driven by the MS model with 1 DoF knee without EMG assistance.

[1]  M. Andersen How sensitive are predicted muscle and knee contact forces to normalization factors and polynomial order in the muscle recruitment criterion formulation? , 2018, International Biomechanics.

[2]  J. Avela,et al.  EMG-Assisted Muscle Force Driven Finite Element Model of the Knee Joint with Fibril-Reinforced Poroelastic Cartilages and Menisci , 2020, Scientific Reports.

[3]  W. Herzog,et al.  Very early osteoarthritis changes sensitively fluid flow properties of articular cartilage. , 2015, Journal of biomechanics.

[4]  A Shirazi-Adl,et al.  On the fibre composite material models of disc annulus--comparison of predicted stresses. , 1989, Journal of biomechanics.

[5]  Michael F. Vignos,et al.  The Influence of Component Alignment and Ligament Properties on Tibiofemoral Contact Forces in Total Knee Replacement. , 2016, Journal of biomechanical engineering.

[6]  J. Jurvelin,et al.  Importance of Patella, Quadriceps Forces, and Depthwise Cartilage Structure on Knee Joint Motion and Cartilage Response During Gait. , 2016, Journal of biomechanical engineering.

[7]  A. Shirazi-Adl,et al.  Alterations in knee contact forces and centers in stance phase of gait: A detailed lower extremity musculoskeletal model. , 2016, Journal of biomechanics.

[8]  Diego F Villegas,et al.  Failure properties and strain distribution analysis of meniscal attachments. , 2007, Journal of biomechanics.

[9]  Massimo Sartori,et al.  CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks. , 2015, Journal of biomechanics.

[10]  C. V. van Donkelaar,et al.  Relative contribution of articular cartilage’s constitutive components to load support depending on strain rate , 2016, Biomechanics and modeling in mechanobiology.

[11]  Kevin B Shelburne,et al.  The interaction of muscle moment arm, knee laxity, and torque in a multi-scale musculoskeletal model of the lower limb. , 2018, Journal of biomechanics.

[12]  Rami K. Korhonen,et al.  Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative , 2017, Scientific Reports.

[13]  D G Lloyd,et al.  Machine learning methods to support personalized neuromusculoskeletal modelling , 2020, Biomechanics and Modeling in Mechanobiology.

[14]  N. Mukherjee,et al.  Load sharing between solid and fluid phases in articular cartilage: II--Comparison of experimental results and u-p finite element predictions. , 1998, Journal of biomechanical engineering.

[15]  Peter Böttcher,et al.  Mapping of split-line pattern and cartilage thickness of selected donor and recipient sites for autologous osteochondral transplantation in the canine stifle joint. , 2009, Veterinary surgery : VS.

[16]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[17]  Petro Julkunen,et al.  Characterization of articular cartilage by combining microscopic analysis with a fibril-reinforced finite-element model. , 2007, Journal of biomechanics.

[18]  Kyriacos A Athanasiou,et al.  The knee meniscus: structure-function, pathophysiology, current repair techniques, and prospects for regeneration. , 2011, Biomaterials.

[19]  Harry E Rubash,et al.  In vivo tibiofemoral cartilage deformation during the stance phase of gait. , 2010, Journal of biomechanics.

[20]  Mika E Mononen,et al.  Three dimensional patient-specific collagen architecture modulates cartilage responses in the knee joint during gait , 2016, Computer methods in biomechanics and biomedical engineering.

[21]  Rik Huiskes,et al.  Erratum to “Stresses in the local collagen network of articular cartilage: a poroviscoelastic fibril-reinforced finite element study” [Journal of Biomechanics 37 (2004) 357–366] and “A fibril-reinforced poroviscoelastic swelling model for articular cartilage” [Journal of Biomechanics 38 (2005) 1195– , 2005 .

[22]  L. Zhang,et al.  Muscle strength in knee varus and valgus. , 2001, Medicine and science in sports and exercise.

[23]  Kevin B. Shelburne,et al.  Dependence of Muscle Moment Arms on In Vivo Three-Dimensional Kinematics of the Knee , 2017, Annals of Biomedical Engineering.

[24]  Alfred Benninghoff,et al.  Form und Bau der Gelenkknorpel in ihren Beziehungen zur Funktion , 1925, Zeitschrift für Anatomie und Entwicklungsgeschichte.

[25]  Scott L. Delp,et al.  A computational framework for simulating and analyzing human and animal movement , 2000, Comput. Sci. Eng..

[26]  T. Miyazaki,et al.  Dynamic load at baseline can predict radiographic disease progression in medial compartment knee osteoarthritis , 2002, Annals of the rheumatic diseases.

[27]  Youssef Zaim Wadghiri,et al.  Macroscopic structure of articular cartilage of the tibial plateau: influence of a characteristic matrix architecture on MRI appearance. , 2004, AJR. American journal of roentgenology.

[28]  T. B. Kirk,et al.  Muscle and external load contribution to knee joint contact loads during normal gait. , 2009, Journal of biomechanics.

[29]  B. Koopman,et al.  A subject-specific musculoskeletal modeling framework to predict in vivo mechanics of total knee arthroplasty. , 2015, Journal of biomechanical engineering.

[30]  Nico Verdonschot,et al.  The influence of ligament modelling strategies on the predictive capability of finite element models of the human knee joint. , 2017, Journal of biomechanics.

[31]  Fang Liu,et al.  Tibiofemoral kinematics and condylar motion during the stance phase of gait. , 2009, Journal of biomechanics.

[32]  T. Buchanan,et al.  Strategies of muscular support of varus and valgus isometric loads at the human knee. , 2001, Journal of biomechanics.

[33]  M. S. Andersen,et al.  Workflow assessing the effect of gait alterations on stresses in the medial tibial cartilage - combined musculoskeletal modelling and finite element analysis , 2017, Scientific Reports.

[34]  Simo Saarakkala,et al.  Comparison of different material models of articular cartilage in 3D computational modeling of the knee: Data from the Osteoarthritis Initiative (OAI). , 2016, Journal of biomechanics.

[35]  L. P. Li,et al.  Reconsideration on the use of elastic models to predict the instantaneous load response of the knee joint , 2011, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[36]  Scott L. Delp,et al.  A Model of the Lower Limb for Analysis of Human Movement , 2010, Annals of Biomedical Engineering.

[37]  Dario Farina,et al.  Hybrid neuromusculoskeletal modeling to best track joint moments using a balance between muscle excitations derived from electromyograms and optimization. , 2014, Journal of biomechanics.

[38]  J M Huyghe,et al.  A comparison between mechano-electrochemical and biphasic swelling theories for soft hydrated tissues. , 2005, Journal of biomechanical engineering.

[39]  William R Taylor,et al.  A comprehensive assessment of the musculoskeletal system: The CAMS-Knee data set. , 2017, Journal of biomechanics.

[40]  Dan K Ramsey,et al.  Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo. , 2005, Gait & posture.

[41]  A. Shirazi-Adl,et al.  3D active-passive response of human knee joint in gait is markedly altered when simulated as a planar 2D joint , 2017, Biomechanics and modeling in mechanobiology.

[42]  Marcus G Pandy,et al.  Grand challenge competition to predict in vivo knee loads , 2012, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[43]  Rik Huiskes,et al.  Causes of mechanically induced collagen damage in articular cartilage , 2006, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[44]  Hanna Isaksson,et al.  A Novel Method to Simulate the Progression of Collagen Degeneration of Cartilage in the Knee: Data from the Osteoarthritis Initiative , 2016, Scientific Reports.

[45]  Luca Modenese,et al.  Hip Abduction Can Prevent Posterior Edge Loading of Hip Replacements , 2013, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[46]  Aki Mikkola,et al.  Merge of motion analysis, multibody dynamics and finite element method for the subject-specific analysis of cartilage loading patterns during gait: differences between rotation and moment-driven models of human knee joint , 2015, Multibody System Dynamics.

[47]  M G Pandy,et al.  Computer modeling and simulation of human movement. , 2001, Annual review of biomedical engineering.

[48]  Petro Julkunen,et al.  Comparison of single-phase isotropic elastic and fibril-reinforced poroelastic models for indentation of rabbit articular cartilage. , 2009, Journal of biomechanics.

[49]  Paul J Rullkoetter,et al.  A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb. , 2019, Journal of biomechanics.

[50]  R. Warren,et al.  Dynamic contact mechanics on the tibial plateau of the human knee during activities of daily living. , 2014, Journal of biomechanics.

[51]  T. Andriacchi,et al.  Increased knee joint loads during walking are present in subjects with knee osteoarthritis. , 2002, Osteoarthritis and cartilage.

[52]  E. Radin,et al.  Role of the menisci in the distribution of stress in the knee. , 1984, Clinical orthopaedics and related research.

[53]  Clare K Fitzpatrick,et al.  Validation of predicted patellofemoral mechanics in a finite element model of the healthy and cruciate-deficient knee. , 2016, Journal of biomechanics.

[54]  L Blankevoort,et al.  Ligament-bone interaction in a three-dimensional model of the knee. , 1991, Journal of biomechanical engineering.

[55]  D. Thelen,et al.  Co-simulation of neuromuscular dynamics and knee mechanics during human walking. , 2014, Journal of biomechanical engineering.

[56]  Luca Modenese,et al.  Tibiofemoral contact forces during walking, running and sidestepping. , 2016, Gait & posture.

[57]  Benjamin J Fregly,et al.  Multibody dynamic simulation of knee contact mechanics. , 2004, Medical engineering & physics.

[58]  J. Dodds,et al.  The split-line pattern of the distal femur: A consideration in the orientation of autologous cartilage grafts. , 2002, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.

[59]  David G Lloyd,et al.  Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. , 2004, Journal of applied biomechanics.

[60]  Mika E Mononen,et al.  Evaluation of the Effect of Bariatric Surgery-Induced Weight Loss on Knee Gait and Cartilage Degeneration. , 2018, Journal of biomechanical engineering.

[61]  Matthew S. DeMers,et al.  How tibiofemoral alignment and contact locations affect predictions of medial and lateral tibiofemoral contact forces. , 2015, Journal of biomechanics.

[62]  Adam J Cyr,et al.  Assessment of Knee Kinematics in Older Adults Using High-Speed Stereo Radiography , 2017, Medicine and science in sports and exercise.

[63]  David G Lloyd,et al.  Tibiofemoral Contact Forces in the Anterior Cruciate Ligament-Reconstructed Knee. , 2016, Medicine and science in sports and exercise.

[64]  Massimo Sartori,et al.  Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces. , 2013, Journal of biomechanics.

[65]  Dario Farina,et al.  EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity , 2012, PloS one.

[66]  Philipp Damm,et al.  The Capacity of Generic Musculoskeletal Simulations to Predict Knee Joint Loading Using the CAMS-Knee Datasets , 2020, Annals of Biomedical Engineering.

[67]  J. Ihn,et al.  In vitro study of contact area and pressure distribution in the human knee after partial and total meniscectomy , 2004, International Orthopaedics.

[68]  Kurt Manal,et al.  An electromyogram-driven musculoskeletal model of the knee to predict in vivo joint contact forces during normal and novel gait patterns. , 2013, Journal of biomechanical engineering.

[69]  David G Lloyd,et al.  Tibiofemoral joint contact forces increase with load magnitude and walking speed but remain almost unchanged with different types of carried load , 2018, PloS one.

[70]  Dumitru I. Caruntu,et al.  Knee Joint Modeling , 2007 .

[71]  Darryl G. Thelen,et al.  Prediction and Validation of Load-Dependent Behavior of the Tibiofemoral and Patellofemoral Joints During Movement , 2015, Annals of Biomedical Engineering.