Abstract
Verified and validated simulations of the mechanical response of femurs, based on CT scans, have been recently presented. These simulations, based on high-order finite element methods (p-FEMs), may be used to diagnose the risk or fracture when used in clinical orthopedic practice. The first part of this chapter describes the methods used to create p-FEM models of patient-specific femurs and the in-vitro experiments used to assess the validity of the simulation results.
Having demonstrated that p-FEMs using CT-scans allow personalized assessment of the risk of fracture of a given femur, we envision a simulation center that may serve a large community of orthopedic doctors, each submitting a CT-scan to be analysed. In such a situation, multiple p-FE models must be simultaneously generated, solved and the verified FE results must be returned to the interested orthopedists. Because such analyses are sought in a short time-scale, and the interaction with the orthopedists will be by mobile devices in the future, we present the implementation of a multi-threaded p-FE solver in the second half of the chapter that will perform multiple solutions simultaneously.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
StressCheck is Trademark of ESRD, St. Louis, MO, USA. StressCheck exhibits some multi-threading as evidenced by multiple cores being active during a solution.
References
Bayraktar, H.H., Morgan, E.F., Niebur, G.L., Morris, G.E., Wong, E.K., Keaveny, M.: Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J. Biomech. 37, 27–35 (2004)
Goodsitt, M.M.: Conversion relations for quantitative ct bone mineral densities measured with solid and liquid calibration standards. Bone Miner. 19, 145–158 (1992)
Katz, A.: The mechanical response of femurs fixed by metal devices. MSc thesis, Ben-Gurion University of the Negev (2011)
Keller, T.S.: Predicting the compressive mechanical behavior of bone. J. Biomech. 27, 1159–1168 (1994)
Keyak, J.H., Meagher, J.M., Skinner, H.B., Mote Jr., C.D.: Automated three-dimensional finite element modelling of bone: a new method. ASME J. Biomech. Eng. 12, 389–397 (1990)
Keyak, J.H., Fourkas, M.G., Meagher, J.M., Skinner, H.B.: Validation of automated method of three-dimensional finite element modelling of bone. ASME J. Biomech. Eng. 15, 505–509 (1993)
Kuzmin, A., Luisier, M., Schenk, O.: Fast methods for computing selected elements of the greens function in massively parallel nanoelectronic device simulations. In: Wolf, F., Mohr, B., Mey, D. (eds.) Euro-Par 2013 Parallel Processing, pp. 533–544. Springer, Berlin/Heidelberg (2013)
Nikishkov, G.: Programming Finite Elements in Java. Springer, London (2010)
Schileo, E., DallAra, E., Taddei, F., Malandrino, A., Schotkamp, T., Baleani, M., Viceconti, M.: An accurate estimation of bone density improves the accuracy of subject-specific finite element models. J. Biomech. 41, 2483–2491 (2008)
Szabó, B.A., Babuška, I.: Finite Element Analysis. Wiley, New York (1991)
Trabelsi, N., Yosibash, Z.: Patient-specific FE analyses of the proximal femur with orthotropic material properties validated by experiments. ASME J. Biomech. Eng. 155, 061001-1–061001-11 (2011)
Trabelsi, N., Yosibash, Z., Milgrom, C.: Validation of subject-specific automated p-FE analysis of the proximal femur. J. Biomech. 42, 234–241 (2009)
Trabelsi, N., Yosibash, Z., Wutte, C., Augat, R., Eberle, S.: Patient-specific finite element analysis of the human femur - a double-blinded biomechanical validation. J. Biomech. 44, 1666–1672 (2011)
Yosibash, Z.: p-FEMs in biomechanics: bones and arteries. Comput. Methods Appl. Mech. Eng. 249–252, 169–184 (2012)
Yosibash, Z., Trabelsi, N.: Reliable patient-specific simulations of the femur. In: Gefen, A. (ed.) Patient-Specific Modeling in Tomorrow’s Medicine, pp. 3–26. Springer, Berlin/Heidelberg (2012)
Yosibash, Z., Padan, R., Joscowicz, L., Milgrom, C.: A CT-based high-order finite element analysis of the human proximal femur compared to in-vitro experiments. ASME J. Biomech. Eng. 129(3), 297–309 (2007)
Yosibash, Z., Trabelsi, N., Milgrom, C.: Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations. J. Biomech. 40, 3688–3699 (2007)
Yosibash, Z., Tal, D., Trabelsi, N.: Predicting the yield of the proximal femur using high order finite element analysis with inhomogeneous orthotropic material properties. Philos. Trans. R. Soc. A 368, 2707–2723 (2010)
Yosibash, Z., Plitman Mayo, R., Dahan, G., Trabelsi, N., Amir, G., Milgrom, C.: Predicting the stiffness and strength of human femurs with realistic metastatic tumors. Bone 69, 180–190 (2014)
Yosibash, Z., Wille, H., Rank, E.: Stochastic description of the peak hip contact force during walking free and going upstairs. J. Biomech. 48, 1015–1022 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Yosibash, Z., Myers, K., Levi, Y. (2015). Computational Bone Mechanics: From the Cloud to an Orthopedists Mobile Device. In: Mehl, M., Bischoff, M., Schäfer, M. (eds) Recent Trends in Computational Engineering - CE2014. Lecture Notes in Computational Science and Engineering, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-319-22997-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-22997-3_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22996-6
Online ISBN: 978-3-319-22997-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)