Mesh morphing for finite element analysis of implant positioning in cementless total hip replacements

Bah, Mamadou; Nair, Prasanth B.; Browne, Martin

doi:10.1016/j.medengphy.2009.08.001

Cited by 35 publications

(25 citation statements)

References 26 publications

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“…This choice is justified by the comparable micromotion distribution found in the implanted femur with and without this cavity, see Appendix C in Supplementary material. For each new implant position, deformed meshes were automatically generated with no recourse to virtual re-implantation and remeshing by adopting an approach presented in Bah et al (2009b), see Fig. 1c.…”

Section: Methodsmentioning

confidence: 99%

Efficient computational method for assessing the effects of implant positioning in cementless total hip replacements

Bah

Nair

Taylor

et al. 2011

Journal of Biomechanics

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Section: Methodsmentioning

confidence: 99%

Efficient computational method for assessing the effects of implant positioning in cementless total hip replacements

Bah

Nair

Taylor

et al. 2011

Journal of Biomechanics

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“…Previous examples of optimization techniques applied to bioengineering studies include probabilistic studies of TKR component variability (Laz et al, 2006), THR shape optimization (Nicolella et al, 2006;Matsoukas and Kim, 2009;Bah et al, 2009), and bone remodeling (Fernandes et al, 2002;Jang and Kim, 2008, 2010a, 2010b. Rigorous and systematic design optimization, as described above, has been used to determine the optimum TKR shape in terms of wear (Willing and Kim, 2009a).…”

Section: Introductionmentioning

confidence: 99%

Design optimization of a total knee replacement for improved constraint and flexion kinematics

Willing

Kim

2011

Journal of Biomechanics

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“…The challenge in developing and implementing probabilistic techniques is automating the simulation process, particularly when aiming to generate hundreds or thousands of models to explore the effects implant alignment or patient to patient variability. Automated pipelines to generate implanted bone segments have been developed using; CAD based boolean operations followed by automated meshing (Taylor et al, 2013;Dopico-Gonzalez et al, 2009; meshed based boolean operations ; or mesh morphing (Bah et al, 2009). Early attempts to account for patient variability either manually modelled a small cohort of subjects (Radcliffe and Taylor, 2007;Perillo-Marcone et al, 2004;Lengsfeld et al, 2005) or scaled either the size (Viceconti et al, 2006) and/or the material properties (Viceconti et al, 2006;Wong et al, 2005) of a single femur.…”

Section: Design Of Computer Based Experimentsmentioning

confidence: 99%

Four decades of finite element analysis of orthopaedic devices: Where are we now and what are the opportunities?

Taylor

Prendergast

2015

Journal of Biomechanics

147

106

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a b s t r a c tFinite element has been used for more than four decades to study and evaluate the mechanical behaviour total joint replacements. In Huiskes seminal paper "Failed innovation in total hip replacement: diagnosis and proposals for a cure", finite element modelling was one of the potential cures to avoid poorly performing designs reaching the market place. The size and sophistication of models has increased significantly since that paper and a range of techniques are available from predicting the initial mechanical environment through to advanced adaptive simulations including bone adaptation, tissue differentiation, damage accumulation and wear. However, are we any closer to FE becoming an effective screening tool for new devices? This review contains a critical analysis of currently available finite element modelling techniques including (i) development of the basic model, the application of appropriate material properties, loading and boundary conditions, (ii) describing the initial mechanical environment of the bone-implant system, (iii) capturing the time dependent behaviour in adaptive simulations, (iv) the design and implementation of computer based experiments and (v) determining suitable performance metrics.The development of the underlying tools and techniques appears to have plateaued and further advances appear to be limited either by a lack of data to populate the models or the need to better understand the fundamentals of the mechanical and biological processes. There has been progress in the design of computer based experiments. Historically, FE has been used in a similar way to in vitro tests, by running only a limited set of analyses, typically of a single bone segment or joint under idealised conditions. The power of finite element is the ability to run multiple simulations and explore the performance of a device under a variety of conditions. There has been increasing usage of design of experiments, probabilistic techniques and more recently population based modelling to account for patient and surgical variability. In order to have effective screening methods, we need to continue to develop these approaches to examine the behaviour and performance of total joint replacements and benchmark them for devices with known clinical performance.Finite element will increasingly be used in the design, development and pre-clinical testing of total joint replacements. However, simulations must include holistic, closely corroborated, multi-domain analyses which account for real world variability.

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Mesh morphing for finite element analysis of implant positioning in cementless total hip replacements

Cited by 35 publications

References 26 publications

Efficient computational method for assessing the effects of implant positioning in cementless total hip replacements

Efficient computational method for assessing the effects of implant positioning in cementless total hip replacements

Design optimization of a total knee replacement for improved constraint and flexion kinematics

Four decades of finite element analysis of orthopaedic devices: Where are we now and what are the opportunities?

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