Literature DB >> 23519524

[Applications of numerical simulation in musculoskeletal research and its impact on orthopedic surgery].

D Kluess1, C Hurschler, C Voigt, A Hölzer, M Stoffel.   

Abstract

Finite element analyses (FEA) as well as multibody system dynamics (MSD) are the main tools used for numerical simulation in the field of musculoskeletal research. While FEA is utilized for field problems, such as calculation of stress and strain distribution, MSD is applied for solving kinematic analyses, such as calculation of muscle and joint forces. Depending on the focus of investigation, modelling of biological tissue may vary from simple homogeneous behavior to modelling biochemical processes on the microscale and nanoscale. An important milestone in biomechanical research was the analysis of stress shielding, which led to further research on bone remodelling. Various models of implant-bone fixation used for the prediction of micromotion have been published. New possibilities for biomechanical analyses are achieved by consideration of complex muscle forces which are generated by MSD simulation and imported into FEA models as limiting conditions. A numerical model always requires experimental validation. If the results are confirmed experimentally, various advantages of numerical simulation apply and problems can be analysed isolated from many influencing factors. Therefore, straightforward parameter variation is possible, enabling studies which would be impossible in an experimental or clinical setup.

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Year:  2013        PMID: 23519524     DOI: 10.1007/s00132-012-1949-0

Source DB:  PubMed          Journal:  Orthopade        ISSN: 0085-4530            Impact factor:   1.087


  28 in total

1.  Material properties assignment to finite element models of bone structures: a new method.

Authors:  C Zannoni; R Mantovani; M Viceconti
Journal:  Med Eng Phys       Date:  1998-12       Impact factor: 2.242

2.  Influence of interface condition and implant design on bone remodelling and failure risk for the resurfaced femoral head.

Authors:  Stephan Rothstock; Anne Uhlenbrock; Nicholas Bishop; Lindsay Laird; Roman Nassutt; Michael Morlock
Journal:  J Biomech       Date:  2011-04-20       Impact factor: 2.712

3.  Predicting the effect of tray malalignment on risk for bone damage and implant subsidence after total knee arthroplasty.

Authors:  Jowene Wong; Nikolai Steklov; Shantanu Patil; Cesar Flores-Hernandez; Mark Kester; Clifford W Colwell; Darryl D D'Lima
Journal:  J Orthop Res       Date:  2010-09-29       Impact factor: 3.494

4.  Extracting clinically relevant data from finite element simulations.

Authors:  Marco Viceconti; Sigbjorn Olsen; Lutz-P Nolte; Kim Burton
Journal:  Clin Biomech (Bristol, Avon)       Date:  2005-06       Impact factor: 2.063

5.  Statistical modelling of the whole human femur incorporating geometric and material properties.

Authors:  Rebecca Bryan; P Surya Mohan; Andrew Hopkins; Francis Galloway; Mark Taylor; Prasanth B Nair
Journal:  Med Eng Phys       Date:  2009-11-20       Impact factor: 2.242

6.  Influence of muscle forces on femoral strain distribution.

Authors:  G N Duda; M Heller; J Albinger; O Schulz; E Schneider; L Claes
Journal:  J Biomech       Date:  1998-09       Impact factor: 2.712

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

Authors:  Mamadou T Bah; Prasanth B Nair; Mark Taylor; Martin Browne
Journal:  J Biomech       Date:  2011-02-04       Impact factor: 2.712

8.  HiL simulation in biomechanics: a new approach for testing total joint replacements.

Authors:  Sven Herrmann; Michael Kaehler; Robert Souffrant; Roman Rachholz; János Zierath; Daniel Kluess; Wolfram Mittelmeier; Christoph Woernle; Rainer Bader
Journal:  Comput Methods Programs Biomed       Date:  2011-08-17       Impact factor: 5.428

Review 9.  Computational modelling of the natural hip: a review of finite element and multibody simulations.

Authors:  Adam Stops; Ruth Wilcox; Zhongmin Jin
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-05-27       Impact factor: 1.763

10.  Micro- and nanomechanical analysis of articular cartilage by indentation-type atomic force microscopy: validation with a gel-microfiber composite.

Authors:  Marko Loparic; Dieter Wirz; A U Daniels; Roberto Raiteri; Mark R Vanlandingham; Geraldine Guex; Ivan Martin; Ueli Aebi; Martin Stolz
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

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  1 in total

1.  [Failure analysis as basis for quality assurance strategies in implant technology].

Authors:  D Behrend; M Warkentin; D Klüß; R Bader; S Kopp; M Frank; W Mittelmeier
Journal:  Orthopade       Date:  2014-06       Impact factor: 1.087

  1 in total

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