Patient-specific knee joint finite element model validation with high-accuracy kinematics from biplane dynamic Roentgen stereogrammetric analysis

Papaioannou, George; Nianios, G.; Mitrogiannis, Christos; Fyhrie, David P.; Tashman, Scott; Yang, King H.

doi:10.1016/j.jbiomech.2008.06.027

Cited by 57 publications

(44 citation statements)

References 23 publications

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“…It has been shown that under this condition, the biphasic response of cartilage can be negligible and the single-phase linear isotropic constitutive law be applicable [40,41]. Therefore, cartilage was modeled as a homogeneous, elastic, linearly isotropic material [1,2,[4][5][6][7]9,16,23,25,30,32,33,[35][36][37][38][39][42][43][44][45][46] with a modulus of 15 MPa [4,9,25,30,35,45] and a Poisson's ratio of 0.46 [31][32][33]47,48].…”

Section: Materials Propertiesmentioning

confidence: 99%

“…The menisci were therefore modeled as linearly elastic, transversely isotropic materials [1,2,4,9,10,16,25,30,[34][35][36]39,[43][44][45]52], where the modulus and Poisson's ratio were 20 MPa and 0.2, respectively, in the radial and axial directions, and 140 MPa and 0.3, respectively, in the circumferential direction [4,30,45,52]. Time dependent effects of the cartilage and menisci properties were not considered due to the quasi-static nature of the models [4,7,8,23,30,32,35,[40][41][42]48,53,54].…”

Section: Materials Propertiesmentioning

confidence: 99%

“…The accuracy of FE model solutions depends on well-defined anatomical geometry, material properties and boundary conditions [1]. Given the considerable inter-subject variability in tissue structure morphology, personalized analyses and insights would require subject-specific FE modeling [2]. In vivo FE modeling efforts have been limited by difficulties in acquiring and analyzing multimodality data for model construction and validation, including proper coregistration and integration of all necessary data.…”

Section: Introductionmentioning

confidence: 99%

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Subject-Specific Finite Element Modeling of the Tibiofemoral Joint Based on CT, Magnetic Resonance Imaging and Dynamic Stereo-Radiography Data in Vivo

Carey

Zheng

Aiyangar

et al. 2014

Journal of Biomechanical Engineering

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In this paper, we present a new methodology for subject-specific finite element modeling of the tibiofemoral joint based on in vivo computed tomography (CT), magnetic resonance imaging (MRI), and dynamic stereo-radiography (DSX) data. We implemented and compared two techniques to incorporate in vivo skeletal kinematics as boundary conditions: one used MRI-measured tibiofemoral kinematics in a nonweight-bearing supine position and allowed five degrees of freedom (excluding flexion-extension) at the joint in response to an axially applied force; the other used DSX-measured tibiofemoral kinematics in a weight-bearing standing position and permitted only axial translation in response to the same force. Verification and comparison of the model predictions employed data from a meniscus transplantation study subject with a meniscectomized and an intact knee. The model-predicted cartilage-cartilage contact areas were examined against "benchmarks" from a novel in situ contact area analysis (ISCAA) in which the intersection volume between nondeformed femoral and tibial cartilage was characterized to determine the contact. The results showed that the DSX-based model predicted contact areas in close alignment with the benchmarks, and outperformed the MRI-based model: the contact centroid predicted by the former was on average 85% closer to the benchmark location. The DSX-based FE model predictions also indicated that the (lateral) meniscectomy increased the contact area in the lateral compartment and increased the maximum contact pressure and maximum compressive stress in both compartments. We discuss the importance of accurate, task-specific skeletal kinematics in subject-specific FE modeling, along with the effects of simplifying assumptions and limitations.

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Section: Materials Propertiesmentioning

confidence: 99%

Section: Materials Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Subject-Specific Finite Element Modeling of the Tibiofemoral Joint Based on CT, Magnetic Resonance Imaging and Dynamic Stereo-Radiography Data in Vivo

Carey

Zheng

Aiyangar

et al. 2014

Journal of Biomechanical Engineering

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“…However, most models adopt rather crude simplifications of plane of movement, internal structures and joint surfaces (Shelburne and Pandy 1997;Abdel-Rahman and Hefzy 1998;Koehle and Hull 2008), and are designed for quasi-static conditions (Bei and Fregly 2004). Quite detailed analysis of internal structures can be performed by integrating multibody models with finite element methods (Bendjaballah et al 1995;Beillas et al 2004;Papaioannou et al 2008). However, difficult definition of the constitutive equation parameters for soft tissue under dynamic large deformations represents a limit to this approach.…”

Section: Introductionmentioning

confidence: 99%

A dynamic multibody model of the physiological knee to predict internal loads during movement in gravitational field

Bersini

Sansone

Frigo

2015

Computer Methods in Biomechanics and Biomedical Engineering

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Obtaining tibio-femoral (TF) contact forces, ligament deformations and loads during daily life motor tasks would be useful to better understand the aetiopathogenesis of knee joint diseases or the effects of ligament reconstruction and knee arthroplasty. However, methods to obtain this information are either too simplified or too computationally demanding to be used for clinical application. A multibody dynamic model of the lower limb reproducing knee joint contact surfaces and ligaments was developed on the basis of magnetic resonance imaging. Several clinically relevant conditions were simulated, including resistance to hyperextension, varus-valgus stability, anterior -posterior drawer, loaded squat movement. Quadriceps force, ligament deformations and loads, and TF contact forces were computed. During anterior drawer test the anterior cruciate ligament (ACL) was maximally loaded when the knee was extended (392 N) while the posterior cruciate ligament (PCL) was much more stressed during posterior drawer when the knee was flexed (319 N). The simulated loaded squat revealed that the anterior fibres of ACL become inactive after 608 of flexion in conjunction with PCL anterior bundle activation, while most components of the collateral ligaments exhibit limited length changes. Maximum quadriceps and TF forces achieved 3.2 and 4.2 body weight, respectively. The possibility to easily manage model parameters and the low computational cost of each simulation represent key points of the present project. The obtained results are consistent with in vivo measurements, suggesting that the model can be used to simulate complex and clinically relevant exercises.

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“…Indeed, the high non linearity of both realistic knee geometries and AC mechanical behaviour lead to define a numerical problem of very complex nature and computationally expensive. Consequently, the linear elastic model was adopted to model AC in several patient specific finite element (FE) models of the knee used for investigating stresses and strains of native (Beillas et al 2004, Bendjaballah et al 1997, Donahue et al 2002, Guo et al 2009, Moglo and Shirazi-Adl 2005, Papaioannou et al 2008, Pena et al 2006) and meniscectomised (Bendjaballah et al 1995, Pena et al 2008, Pena et al 2005, Shirazi and Shirazi-Adl 2009, Yang et al 2010 joints. Only very recently, sophisticated biphasic constitutive models of AC have been implemented in human knee FE models.…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis of the meniscectomised tibio-femoral joint: implementation of advanced articular cartilage models

Mattei

Campioni

Accardi

et al. 2013

Computer Methods in Biomechanics and Biomedical Engineering

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The article presents advanced computer simulations aimed at the accurate modelling of human tibio-femoral joints in terms of anatomy, physiological loading, and constitutive behaviour of the tissues. The main objective of this research is to demonstrate the implications that the implementation of different articular cartilage models have on the prediction of the joint response. Several biphasic material constitutive laws are tested using a finite element package and compared to the monophasic linear elastic description, often still used to predict the instantaneous response of the cartilage in three-dimensional knee models. Thus, the importance of adequately capturing the contribution of the interstitial fluid support is proved using a simplified threedimensional model; subsequently, a biphasic poroviscoelastic non linear constitutive law is implemented to study the response of a patient specific tibio-femoral joint subjected to simplified walking cycles. The time evolution of stresses, pore pressure, contact areas and joint displacements are captured and compared with existing meniscectomised knee models. Contact pressures and areas obtained using the developed numerical simulations are in agreement with the existing experimental evidence for meniscectomized human knee joints. The results are then used to predict the most likely site for the origin of mechanical damage, i.e. the medial cartilage surface for the specific case analysed in the present contribution. Finally, future research directions are suggested.

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Patient-specific knee joint finite element model validation with high-accuracy kinematics from biplane dynamic Roentgen stereogrammetric analysis

Cited by 57 publications

References 23 publications

Subject-Specific Finite Element Modeling of the Tibiofemoral Joint Based on CT, Magnetic Resonance Imaging and Dynamic Stereo-Radiography Data in Vivo

Subject-Specific Finite Element Modeling of the Tibiofemoral Joint Based on CT, Magnetic Resonance Imaging and Dynamic Stereo-Radiography Data in Vivo

A dynamic multibody model of the physiological knee to predict internal loads during movement in gravitational field

Finite element analysis of the meniscectomised tibio-femoral joint: implementation of advanced articular cartilage models

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