Technology
We make bone healing simulation accessible
The technology has been tested and corroborated for the meta- and diaphyseal sections of long bones for several fracture scenarios.
Our approach enables in-silico testing of different bone types, co-morbidities and many more patient-specific parameters.
Our long-term goal: The simulation of the entire human skeleton.
3D distal radius fracture healing simulation
(colors encode bone concentration)
Customized user interfaces for different requirements
Depending on the application, we can adjust user-friendliness without compromising the simulation results. Every user deserves easy accessbility of the features, with varying levels of complexity in supported parameters and attributes.
This holds especially true for the interpretability and actionability of the simulation results. We are looking forward to more intensive usability testing with potential users!
REFERENCES
Based on over 20 years scientific research
We build on the extensive groundwork done at Ulm University and by a worldwide community. Our team covers state-of-the-art know-how in fracture healing simulations, with a proven track-record in scientific publications.
Please feel free to reach out and contact us!
A selection of the most important publications:
- Engelhardt L, Niemeyer F, Christen P, et al. Simulating Metaphyseal Fracture Healing in the Distal Radius. Biomechanics. 2021;1(1):29–42.
- Pietsch M, Niemeyer F, Urban K, et al. Including the Implant Degradation Process in a Fracture Healing Model. In: Proceedings of the 8th World Congress of Biomechanics. Dublin; 2018.
- Pietsch M, Niemeyer F, Simon U, et al. Modelling the fracture-healing process as a moving-interface problem using an interface-capturing approach. Computer Methods in Biomechanics and Biomedical Engineering. 2018;0(0):1–9.
- Niemeyer F, Claes L, Ignatius A, et al. Simulating lateral distraction osteogenesis. PLOS ONE. 2018;13(3):e0194500.
- Niemeyer F, Trautwein F, Wilke H-J, et al. Optimizing Spinal Fusion Implants Using Bone Healing Simulations. In: Proceedings of the ORS 2017 Annual Meeting. San Diego; 2017.
- Simon U, Niemeyer F. Numerical Simulation of Fracture Healing and Bone Remodelling. In: Simpson H, Augat P, eds. Experimental Research Methods in Orthopedics in Trauma. Stuttgart: Thieme; 2015:181–189.
- Steiner M, Niemeyer F, Claes L, et al. Adjusting Mechanoregulatory Rules for Numerical Fracture Healing Simulation from Sheep to Rat. In: Proceedings of the 12th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering. Amsterdam; 2014.
- Steiner M, Claes L, Ignatius A, et al. Numerical Simulation of Callus Healing for Optimization of Fracture Fixation Stiffness. Costa-Rodrigues J, ed. PLoS ONE. 2014;9(7):e101370.
- Steiner M, Claes L, Ignatius A, et al. Disadvantages of interfragmentary shear on fracture healing—mechanical insights through numerical simulation. J. Orthop. Res. 2014;32(7):865–872.
- Niemeyer F, Bartolini L, Engelhardt L, et al. Using bone healing simulations to design and optimize a novel spinal fusion implant. In: Proceedings of the 12th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering. Amsterdam; 2014.
- Steiner M, Claes L, Ignatius A, et al. Prediction of fracture healing under axial loading, shear loading and bending is possible using distortional and dilatational strains as determining mechanical stimuli. J R Soc Interface. 2013;10(86):20130389.
- Engelhardt L, Niemeyer F, et al. A New Bone Implant Concept: AMPLIFIX – First Numerical Results of Dynamic Osseointegration Simulation. In: CBU 2013 proceedings: 18th International Symposium on Computational Biomechanics in Ulm, 2013.
- Wehner T, Claes L, Ignatius A, et al. Optimization of intramedullary nailing by numerical simulation of fracture healing. Journal of Orthopaedic Research. 2012;30(4):569–573.
- Steiner M, Claes L, Ignatius A, et al. Optimization of Input Parameters for Fracture Healing Simulations. In: CBU 2011 proceedings: 17th International Symposium on Computational Biomechanics in Ulm, Jürgen Salk et al. (eds.).; 2011. Available at: http://vts.uni-ulm.de/doc.asp?id=7717.
- Simon U, Augat P, Utz M, et al. A numerical model of the fracture healing process that describes tissue development and revascularisation. Computer Methods in Biomechanics and Biomedical Engineering. 2011;14(1):79–93.
- Reina-Romo E, Gómez-Benito MJ, Domínguez J, et al. Effect of the fixator stiffness on the young regenerate bone after bone transport: Computational approach. Journal of Biomechanics. 2011;44(5):917–923.
- Wehner T, Claes L, Niemeyer F, et al. Influence of the fixation stability on the healing time — A numerical study of a patient-specific fracture healing process. Clinical Biomechanics. 2010;25(6):606–612.
- Niemeyer F, Wehner T, Claes L, et al. Simulation of the Callus Distraction Treatment. In: Proceedings of the 9th International Symposium on Computer Methods in Biomechanics & Biomedical Engineering. Valencia; 2010.
- Chen G, Niemeyer F, Wehner T, et al. Simulation of the nutrient supply in fracture healing. J Biomech. 2009;42(15):2575–2583.
- Simon U, Wehner T, Niemeyer F, et al. Simulation of the Bone Healing Process. In: Proceedings of ACUM 2006. Stuttgart; 2006.
- Shefelbine SJ, Augat P, Claes L, et al. Trabecular bone fracture healing simulation with finite element analysis and fuzzy logic. Journal of Biomechanics. 2005;38(12):2440–2450.
- Simon U, Augat P, Claes L. 3D fracture healing model can help to explain delayed healing with interfragmentary shear movement compared to axial movement. In: Proceedings of the 6th International Symposium on Computer Methods in Biomechanics & Biomedical Engineering. Madrid; 2004.
- Simon U, Augat P, Claes L. Dynamical Simulation of the Fracture Healing Process Including Vascularity. In: 13th Conference of the European Society of Biomechanics (ESB), Acta of Bioengineering and Biomechanics.Vol 4. Wroclaw, Poland; 2002.
- Ament C, Hofer EP. A fuzzy logic model of fracture healing. J Biomech. 2000;33(8):961–968.
- Claes LE, Heigele CA. Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing. J Biomech. 1999;32(3):255–266.