Establishment of a Numerical Model to Design an Electro-Stimulating System for a Porcine Mandibular Critical Size Defect

Raben, Hendrikje; Kämmerer, Peer W.; Bader, Rainer; Rienen, Ursula van

doi:10.3390/app9102160

Cited by 23 publications

(26 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, to better predict the density evolution over time, the constitutive laws for mechanical and electrical behaviour will be modified to incorporate these coupled multi-physics phenomena. To investigate the effect of electrically active implants (Raben et al 2019 ; Schmidt et al 2015 ; Zimmerman et al 2015 ; Potratz et al 2010 ) on peri-implant bone remodelling, the piezoelectric bone remodelling algorithm will be simulated for bone implant application using an open-source framework. As another interesting strategy, the reduced activity simulations and electrical stimulation can be performed using the patient-specific bone density distribution as an initial state.…”

Section: Resultsmentioning

confidence: 99%

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Bansod

Kebbach

Kluess

et al. 2021

Biomech Model Mechanobiol

Self Cite

View full text Add to dashboard Cite

Bone tissue exhibits piezoelectric properties and thus is capable of transforming mechanical stress into electrical potential. Piezoelectricity has been shown to play a vital role in bone adaptation and remodelling processes. Therefore, to better understand the interplay between mechanical and electrical stimulation during these processes, strain-adaptive bone remodelling models without and with considering the piezoelectric effect were simulated using the Python-based open-source software framework. To discretise numerical attributes, the finite element method (FEM) was used for the spatial variables and an explicit Euler scheme for the temporal derivatives. The predicted bone apparent density distributions were qualitatively and quantitatively evaluated against the radiographic scan of a human proximal femur and the bone apparent density calculated using a bone mineral density (BMD) calibration phantom, respectively. Additionally, the effect of the initial bone density on the resulting predicted density distribution was investigated globally and locally. The simulation results showed that the electrically stimulated bone surface enhanced bone deposition and these are in good agreement with previous findings from the literature. Moreover, mechanical stimuli due to daily physical activities could be supported by therapeutic electrical stimulation to reduce bone loss in case of physical impairment or osteoporosis. The bone remodelling algorithm implemented using an open-source software framework facilitates easy accessibility and reproducibility of finite element analysis made.

show abstract

Section: Resultsmentioning

confidence: 99%

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Bansod

Kebbach

Kluess

et al. 2021

Biomech Model Mechanobiol

Self Cite

View full text Add to dashboard Cite

show abstract

“…Additionally, permanent clinical evaluation may prevent failure through adequate and early action. With regard to novel therapeutic measures, active functions like stimulation for bone ingrowth (e.g., electrical stimulation [15][16][17][18][19]) are considered.…”

Section: Introductionmentioning

confidence: 99%

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

et al. 2021

Self Cite

View full text Add to dashboard Cite

Instrumented implants can improve the clinical outcome of total hip replacements (THRs). To overcome the drawbacks of external energy supply and batteries, energy harvesting is a promising approach to power energy-autonomous implants. Therefore, we recently presented a new piezoelectric-based energy harvesting concept for THRs. In this study, the performance of the proposed energy harvesting system was numerically and experimentally investigated. First, we numerically reproduced our previous results for the physiologically based loading situation in a simplified setup. Thereafter, this configuration was experimentally realised by the implantation of a functional model of the energy harvesting concept into an artificial bone segment. Additionally, the piezoelectric element alone was investigated to analyse the predictive power of the numerical model. We measured the generated voltage for a load profile for walking and calculated the power output. The maximum power for the directly loaded piezoelectric element and the functional model were 28.6 and 10.2 µW, respectively. Numerically, 72.7 µW was calculated. The curve progressions were qualitatively in good accordance with the numerical data. The deviations were explained by sensitivity analysis and model simplifications, e.g., material data or lower acting force levels by malalignment and differences between virtual and experimental implantation. The findings verify the feasibility of the proposed energy harvesting concept and form the basis for design optimisations with increased power output.

show abstract

“…From a rehabilitation perspective, future studies should investigate whether the numerical model is indicative of the potential therapeutic values of electrical stimulation. The implemented piezoelectric bone remodeling algorithm can also be employed for applications investigating the effect of electrically active implants (Schmidt et al, 2015;Zimmermann and van Rienen, 2015;Raben et al, 2019;Zimmermann et al, 2021) in the adjacent bone tissue with respect to peri-implant bone remodeling.…”

Section: Figure 11 | (A)mentioning

confidence: 99%

Computational Analysis of Bone Remodeling in the Proximal Tibia Under Electrical Stimulation Considering the Piezoelectric Properties

Bansod

Kebbach

Kluess

et al. 2021

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

The piezoelectricity of bone is known to play a crucial role in bone adaptation and remodeling. The application of an external stimulus such as mechanical strain or electric field has the potential to enhance bone formation and implant osseointegration. Therefore, in the present study, the objective is to investigate bone remodeling under electromechanical stimulation as a step towards establishing therapeutic strategies. For the first time, piezoelectric bone remodeling in the human proximal tibia under electro-mechanical loads was analyzed using the finite element method in an open-source framework. The predicted bone density distributions were qualitatively and quantitatively assessed by comparing with the computed tomography (CT) scan and the bone mineral density (BMD) calculated from the CT, respectively. The effect of model parameters such as uniform initial bone density and reference stimulus on the final density distribution was investigated. Results of the parametric study showed that for different values of initial bone density the model predicted similar but not identical final density distribution. It was also shown that higher reference stimulus value yielded lower average bone density at the final time. The present study demonstrates an increase in bone density as a result of electrical stimulation. Thus, to minimize bone loss, for example, due to physical impairment or osteoporosis, mechanical loads during daily physical activities could be partially replaced by therapeutic electrical stimulation.

show abstract

Establishment of a Numerical Model to Design an Electro-Stimulating System for a Porcine Mandibular Critical Size Defect

Cited by 23 publications

References 69 publications

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Performance of a Piezoelectric Energy Harvesting System for an Energy-Autonomous Instrumented Total Hip Replacement: Experimental and Numerical Evaluation

Computational Analysis of Bone Remodeling in the Proximal Tibia Under Electrical Stimulation Considering the Piezoelectric Properties

Contact Info

Product

Resources

About