scholarly journals Introduction to Force-Dependent Kinematics: Theory and Application to Mandible Modeling

2017 ◽  
Vol 139 (9) ◽  
Author(s):  
Michael Skipper Andersen ◽  
Mark de Zee ◽  
Michael Damsgaard ◽  
Daniel Nolte ◽  
John Rasmussen
Keyword(s):  
Joint Kinematics ◽  
Musculoskeletal Modeling ◽  
Joint Models ◽  
Musculoskeletal Models ◽  
Joint Forces ◽  
Internal Joint ◽  
Subject Specific ◽  
Joint Elasticity ◽  
Anybody Modeling System

Knowledge of the muscle, ligament, and joint forces is important when planning orthopedic surgeries. Since these quantities cannot be measured in vivo under normal circumstances, the best alternative is to estimate them using musculoskeletal models. These models typically assume idealized joints, which are sufficient for general investigations but insufficient if the joint in focus is far from an idealized joint. The purpose of this study was to provide the mathematical details of a novel musculoskeletal modeling approach, called force-dependent kinematics (FDK), capable of simultaneously computing muscle, ligament, and joint forces as well as internal joint displacements governed by contact surfaces and ligament structures. The method was implemented into the anybody modeling system and used to develop a subject-specific mandible model, which was compared to a point-on-plane (POP) model and validated against joint kinematics measured with a custom-built brace during unloaded emulated chewing, open and close, and protrusion movements. Generally, both joint models estimated the joint kinematics well with the POP model performing slightly better (root-mean-square-deviation (RMSD) of less than 0.75 mm for the POP model and 1.7 mm for the FDK model). However, substantial differences were observed when comparing the estimated joint forces (RMSD up to 24.7 N), demonstrating the dependency on the joint model. Although the presented mandible model still contains room for improvements, this study shows the capabilities of the FDK methodology for creating joint models that take the geometry and joint elasticity into account.

PATELLA TRACKING WITH PERIPATELLAR SOFT TISSUE STABILIZERS AS A FUNCTION OF DYNAMIC SUBJECT-SPECIFIC KNEE FLEXION

2011 ◽  
Vol 11 (05) ◽  
pp. 1025-1043 ◽  
Author(s):  
J. H. MÜLLER ◽  
C. SCHEFFER ◽  
A. ELVIN ◽  
P. J. ERASMUS ◽  
E. M. DILLON
Keyword(s):  
Knee Flexion ◽  
Load Ratio ◽  
Quadriceps Tendon ◽  
Musculoskeletal Modeling ◽  
Musculoskeletal Models ◽  
Subject Specific ◽  
Joint Biomechanics ◽  
Load Component ◽  
Patella Tracking

Musculoskeletal modeling has found wide application in joint biomechanics investigations. This technique has been improved by incorporating subject-specific skeletal elements and passive patellofemoral stabilizers in a dynamic analysis. After trochlear engagement, the volunteers' patellae displaced laterally, whereas tilt was subject specific. Comparison of the tilt and mediolateral position values to in vivo MRI values at 30° knee flexion showed a mean accuracy of 84.4% and 96.9%, respectively. Medial patellofemoral ligament tension decreased with knee flexion, while the patellar tendon–quadriceps tendon ratio ranged from 0.4 to 1.2. The patellofemoral contact load–quadriceps tendon load ratio ranged from 0.7 to 1.3, whereas the mediolateral load component–resultant load ratio ranged from 0 to 0.4. Three validated subject-specific musculoskeletal models facilitated the analysis of patellofemoral biomechanics: Subject-specific patella tracking and passive stabilizer response was analyzed as a function of dynamic knee flexion.

Development and Evaluation of a Subject-Specific Lower Limb Model With an Eleven-Degrees-of-Freedom Natural Knee Model Using Magnetic Resonance and Biplanar X-Ray Imaging During a Quasi-Static Lunge

2020 ◽  
Vol 142 (6) ◽  
Author(s):  
David Leandro Dejtiar ◽  
Christine Mary Dzialo ◽  
Peter Heide Pedersen ◽  
Kenneth Krogh Jensen ◽  
Martin Kokholm Fleron ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Knee Joint ◽  
Joint Model ◽  
Joint Kinematics ◽  
Contact Forces ◽  
Joint Mechanics ◽  
X Ray ◽  
Knee Mechanics ◽  
Subject Specific

Abstract Musculoskeletal (MS) models can be used to study the muscle, ligament, and joint mechanics of natural knees. However, models that both capture subject-specific geometry and contain a detailed joint model do not currently exist. This study aims to first develop magnetic resonance image (MRI)-based subject-specific models with a detailed natural knee joint capable of simultaneously estimating in vivo ligament, muscle, tibiofemoral (TF), and patellofemoral (PF) joint contact forces and secondary joint kinematics. Then, to evaluate the models, the predicted secondary joint kinematics were compared to in vivo joint kinematics extracted from biplanar X-ray images (acquired using slot scanning technology) during a quasi-static lunge. To construct the models, bone, ligament, and cartilage structures were segmented from MRI scans of four subjects. The models were then used to simulate lunges based on motion capture and force place data. Accurate estimates of TF secondary joint kinematics and PF translations were found: translations were predicted with a mean difference (MD) and standard error (SE) of 2.13 ± 0.22 mm between all trials and measures, while rotations had a MD ± SE of 8.57 ± 0.63 deg. Ligament and contact forces were also reported. The presented modeling workflow and the resulting knee joint model have potential to aid in the understanding of subject-specific biomechanics and simulating the effects of surgical treatment and/or external devices on functional knee mechanics on an individual level.

Simultaneous Prediction of Muscle, Ligament and Tibiofemoral Contact Forces via Optimally Tracking Subject-Specific Gait Dynamics

2013 ◽  
Author(s):  
D. G. Thelen ◽  
K. W. Choi ◽  
A. Schmitz
Keyword(s):  
Joint Kinematics ◽  
Simulation Software ◽  
Contact Forces ◽  
Muscle Forces ◽  
Simulation Framework ◽  
Gait Dynamics ◽  
Knee Mechanics ◽  
Internal Joint ◽  
Subject Specific ◽  
And Cartilage

Computational models are needed to estimate soft tissue loads during movement. It would be ideal to perform such estimates on a subject-specific basis, where the information could be used clinically for assessing injury risk, planning treatment and monitoring rehabilitation outcomes. Musculoskeletal simulation software has evolved to the point that it is now relatively straight forward to estimate muscle forces needed to emulate subject-specific joint kinematics and kinetics [1]. These muscle forces can subsequently be used as boundary conditions in a knee mechanics model to estimate the associated ligament and cartilage loads [2]. However, this serial simulation approach may ignore inherent interactions between musculoskeletal dynamics and internal joint mechanics. That is, cartilage contact forces and ligament tension can potentially contribute to joint moment equilibrium [3]. Further, ligament stretch may allow joint kinematics to vary in a way that affects muscle moment arms and lines of action about the joint. Thus, it would be preferable if muscle, ligament and cartilage contact loads were estimated simultaneously so that these interactions are accounted for. The objective of this study was to incorporate a six degree of freedom tibiofemoral model into an existing subject-specific gait simulation framework [4]. In this study, we introduce the computational model, and then use it to track measured gait dynamics of a subject with an instrumented knee joint replacement. A comparison of the model-predicted and measured tibiofemoral contact forces provides a basis for assessing the validity of this novel co-simulation framework.

scholarly journals Effect of lower-limb joint models on subject-specific musculoskeletal models and simulations of daily motor activities

2015 ◽  
Vol 48 (16) ◽  
pp. 4198-4205 ◽  
Author(s):  
Giordano Valente ◽  
Lorenzo Pitto ◽  
Rita Stagni ◽  
Fulvia Taddei
Keyword(s):  
Lower Limb ◽  
Joint Models ◽  
Musculoskeletal Models ◽  
Subject Specific ◽  
Motor Activities

Integrating Multi-Modality Imaging and Biodynamic Measurements for Studying Neck Biomechanics During Sustained-Till-Exhaustion Neck Exertions

2017 ◽  
Vol 61 (1) ◽  
pp. 986-990 ◽  
Author(s):  
Suman K Chowdhury ◽  
Ryan M Byrne ◽  
Yu Zhou ◽  
Tom Gale ◽  
Liying Zheng ◽  
...  
Keyword(s):  
State Of The Art ◽  
Clear Understanding ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Musculoskeletal Models ◽  
Occupational Tasks ◽  
Complete Dataset ◽  
Subject Specific ◽  
Worker Characteristics

Neck musculoskeletal disorders have been associated with various occupational tasks, in particular tasks that require non-neutral sustained exertions. To gain a clear understanding of the neck biomechanics during such exertions, we have recently initiated an unprecedented integration of multi-modality state-of-the-art measurement procedures including dynamic radiographic imaging, surface-based motion capture, electromyography, computed tomography and magnetic resonance imaging. This paper describes an overview of our systematic, integrative efforts of in vivo biodynamic measurements during sustained-till- exhaustion neck exertions and multi-modality imaging data, and how such an integrated database can be used to construct subject-specific neck musculoskeletal models. A complete dataset of one participant is presented to illustrate the acquired data. In the next phase, subject-specific ‘what-if’ computer simulations will be implemented to understand the mechano-physiological effects of sustained-till-exhaustion neck exertions for different work scenarios and worker characteristics in order to derive effective injury prevention and intervention strategies.

Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
James P. Charles ◽  
Chan-Hong Moon ◽  
William J. Anderst
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Imaging Techniques ◽  
Muscle Architecture ◽  
Lower Limbs ◽  
Cross Sectional ◽  
Musculoskeletal Models ◽  
Subject Specific

Accurate individualized muscle architecture data are crucial for generating subject-specific musculoskeletal models to investigate movement and dynamic muscle function. Diffusion tensor imaging (DTI) magnetic resonance (MR) imaging has emerged as a promising method of gathering muscle architecture data in vivo; however, its accuracy in estimating parameters such as muscle fiber lengths for creating subject-specific musculoskeletal models has not been tested. Here, we provide a validation of the method of using anatomical magnetic resonance imaging (MRI) and DTI to gather muscle architecture data in vivo by directly comparing those data obtained from MR scans of three human cadaveric lower limbs to those from dissections. DTI was used to measure fiber lengths and pennation angles, while the anatomical images were used to estimate muscle mass, which were used to calculate physiological cross-sectional area (PCSA). The same data were then obtained through dissections, where it was found that on average muscle masses and fiber lengths matched well between the two methods (4% and 1% differences, respectively), while PCSA values had slightly larger differences (6%). Overall, these results suggest that DTI is a promising technique to gather in vivo muscle architecture data, but further refinement and complementary imaging techniques may be needed to realize these goals.

scholarly journals Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine

2021 ◽  
Vol 9 ◽  
Author(s):  
Marie-Rosa Fasser ◽  
Moritz Jokeit ◽  
Mirjam Kalthoff ◽  
David A. Gomez Romero ◽  
Tudor Trache ◽  
...  
Keyword(s):  
Lumbar Spine ◽  
3D Models ◽  
Adjacent Segment ◽  
Joint Loading ◽  
Promising Tool ◽  
Musculoskeletal Models ◽  
Novel Approach ◽  
Subject Specific ◽  
Joint Loads

Musculoskeletal modeling is a well-established method in spine biomechanics and generally employed for investigations concerning both the healthy and the pathological spine. It commonly involves inverse kinematics and optimization of muscle activity and provides detailed insight into joint loading. The aim of the present work was to develop and validate a procedure for the automatized generation of semi-subject-specific multi-rigid body models with an articulated lumbar spine. Individualization of the models was achieved with a novel approach incorporating information from annotated EOS images. The size and alignment of bony structures, as well as specific body weight distribution along the spine segments, were accurately reproduced in the 3D models. To ensure the pipeline’s robustness, models based on 145 EOS images of subjects with various weight distributions and spinopelvic parameters were generated. For validation, we performed kinematics-dependent and segment-dependent comparisons of the average joint loads obtained for our cohort with the outcome of various published in vivo and in situ studies. Overall, our results agreed well with literature data. The here described method is a promising tool for studying a variety of clinical questions, ranging from the evaluation of the effects of alignment variation on joint loading to the assessment of possible pathomechanisms involved in adjacent segment disease.

scholarly journals Validated Computational Framework for Evaluation of In Vivo Knee Mechanics

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Azhar A. Ali ◽  
Erin M. Mannen ◽  
Paul J. Rullkoetter ◽  
Kevin B. Shelburne
Keyword(s):  
Fe Simulation ◽  
Knee Extension ◽  
Musculoskeletal Modeling ◽  
Whole Body ◽  
Knee Ligament ◽  
Knee Mechanics ◽  
Flexion Extension ◽  
Subject Specific ◽  
The Impact

Abstract Dynamic, in vivo evaluations of knee mechanics are important for understanding knee injury and repair, and developing successful treatments. Computational models have been used with in vivo experiments to quantify joint mechanics, but they are typically not predictive. The current study presents a novel integrated approach with high-speed stereo radiography, musculoskeletal modeling, and finite element (FE) modeling for evaluation of subject-specific, in vivo knee mechanics in a healthy subject performing a seated knee extension and weight-bearing lunge. Whole-body motion capture, ground reaction forces, and radiography-based kinematics were used to drive musculoskeletal and predictive FE models for load-controlled simulation of in vivo knee mechanics. A predictive simulation of knee mechanics was developed in four stages: (1) in vivo measurements of one subject performing a lunge and a seated knee extension, (2) rigid-body musculoskeletal modeling to determine muscle forces, (3) FE simulation of knee extension for knee-ligament calibration, and (4) predictive FE simulation of a lunge. FE models predicted knee contact and ligament mechanics and evaluated the impact of cruciate ligament properties on joint kinematics and loading. Calibrated model kinematics demonstrated good agreement to the experimental motion with root-mean-square differences of tibiofemoral flexion–extension <3 deg, internal–external <4 deg, and anterior–posterior <2 mm. Ligament reference strain and attachment locations were the most critical properties in the calibration process. The current work advances previous in vivo knee modeling through simulation of dynamic activities, modeling of subject-specific knee behavior, and development of a load-controlled knee model.

Sign in / Sign up

Export Citation Format

Share Document