Basics of Multibody Systems: Presented by Practical Simulation Examples of Spine Models

Bauer, Sabine

doi:10.5772/62864

Cited by 8 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When a muscle redundancy problem needs to be solved to obtain the muscle activations used to describe a given kinematics, an inverse simulation approach can be distinguished from a forward or direct simulation approach [34]. Joint descriptions for intact functional spinal units [31,[35][36][37][38] as well as for the intervertebral disc only [39,40] may, however, limit the capabilities of the analysis for an interaction between muscle forces and joint kinematics [41,42]. Basic joints are represented by spherical or ball joints with three degrees of freedom and without torque transmission [19,32,37,43,44].…”

Section: Introductionmentioning

confidence: 99%

Calibration and validation of a novel hybrid model of the lumbosacral spine in ArtiSynth–The passive structures

et al. 2021

View full text Add to dashboard Cite

In computational biomechanics, two separate types of models have been used predominantly to enhance the understanding of the mechanisms of action of the lumbosacral spine (LSS): Finite element (FE) and musculoskeletal multibody (MB) models. To combine advantages of both models, hybrid FE-MB models are an increasingly used alternative. The aim of this paper is to develop, calibrate, and validate a novel passive hybrid FE-MB open-access simulation model of a ligamentous LSS using ArtiSynth. Based on anatomical data from the Male Visible Human Project, the LSS model is constructed from the L1-S1 rigid vertebrae interconnected with hyperelastic fiber-reinforced FE intervertebral discs, ligaments, and facet joints. A mesh convergence study, sensitivity analyses, and systematic calibration were conducted with the hybrid functional spinal unit (FSU) L4/5. The predicted mechanical responses of the FSU L4/5, the lumbar spine (L1-L5), and the LSS were validated against literature data from in vivo and in vitro measurements and in silico models. Spinal mechanical responses considered when loaded with pure moments and combined loading modes were total and intervertebral range of motions, instantaneous axes and centers of rotation, facet joint contact forces, intradiscal pressures, disc bulges, and stiffnesses. Undesirable correlations with the FE mesh were minimized, the number of crisscrossed collagen fiber rings was reduced to five, and the individual influences of specific anatomical structures were adjusted to in vitro range of motions. Including intervertebral motion couplings for axial rotation and nonlinear stiffening under increasing axial compression, the predicted kinematic and structural mechanics responses were consistent with the comparative data. The results demonstrate that the hybrid simulation model is robust and efficient in reproducing valid mechanical responses to provide a starting point for upcoming optimizations and extensions, such as with active skeletal muscles.

show abstract

Section: Introductionmentioning

confidence: 99%

Calibration and validation of a novel hybrid model of the lumbosacral spine in ArtiSynth–The passive structures

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Computer simulations of spinal mechanics can provide information that helps to answer medical research questions and might become an important asset in planning surgical interventions. Recent advances in multibody simulation allow for the modelling of patient-specific spinal structures, including the simulation of complex motion sequences [4][5][6]. Typically, parameters like stiffness and damping of the modelled bodies are taken from studies performed on real tissue [48,61] and additional aspects can be taken into account, such as image-based tissue degeneration scores [30,62].…”

Section: Medical and Simulation Backgroundmentioning

confidence: 99%

“…Then, they undergo pre-processing where anatomic markers, e.g., origin and attachment of ligaments are detected (3). Based on this information the biomechanical simulation is performed (4). In this work, we show how the results can be visualized (5).…”

Section: Requirement Analysismentioning

confidence: 99%

Visualization of Human Spine Biomechanics for Spinal Surgery

Eulzer,

Bauer,

Kilian

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Fig. 1. Overview of exploration techniques for a spinal disc deformation simulation. We extract patient movement as an animation (left), which we connect with detailed simulation results (middle), including force impact directions. Each value-over-time plot is associated with the corresponding spinal disc using patient-specific anatomy. A simplified depiction allows for at-a-glance assessments and ensemble comparisons (right).

show abstract

“…The rapid availability of results enables a future usability in medical routine for spinal operation planning. Further detailed explanations of the basics of simulations can be taken out of [18].…”

Section: Biomechanical Modeling and Simulationmentioning

confidence: 99%

Computational Simulation as an Innovative Approach in Personalized Medicine

Bauer¹,

Dietrich²

2017

Innovations in Spinal Deformities and Postural Disorders

View full text Add to dashboard Cite

Background: Statistical analyses show that both the spine curvature and the morphological properties of the vertebral bodies can differ considerably. Therefore, the best outcome of a surgery for the individual patient could be achieved by developing patient specific implants to prevent inadequate anchorage of implants that don't optimally fit to the anatomy and can cause damages of spinal structures.Objective: The aim of our work is to develop patient-specific biomechanical simulation models of the spine to determine the patient-specific load situation and to open up the possibility of developing implant designs that are adapted to the morphological contours of the patients' endplates, which ensures an optimal fit and a balanced load distribution.Methods: Our approach is the scientific fusion of the fields "medical imaging" and "biomechanical computer modeling." The individual characteristics of patients will be visualized and analyzed through medical imaging. The surface models together with the estimated biomechanical properties can be transferred into biomechanical multibody simulation models.Results: Taking the patient-specific characteristics and the material properties of the implant into account, simulation models are created to simulate preoperatively the biomechanical effects of new implant designs. In this way, the load situation of the modeled spinal structures can be determined.

show abstract

Basics of Multibody Systems: Presented by Practical Simulation Examples of Spine Models

Cited by 8 publications

References 38 publications

Calibration and validation of a novel hybrid model of the lumbosacral spine in ArtiSynth–The passive structures

Calibration and validation of a novel hybrid model of the lumbosacral spine in ArtiSynth–The passive structures

Visualization of Human Spine Biomechanics for Spinal Surgery

Computational Simulation as an Innovative Approach in Personalized Medicine

Contact Info

Product

Resources

About