Literature DB >> 14644594

Combination of finite element modeling and optimization for the study of lumbar spine biomechanics considering the 3D thorax-pelvis orientation.

Francisco Ezquerro1, Antonio Simón, María Prado, Ana Pérez.   

Abstract

A model of the lumbar spine capable of taking into account realistic loads derived from human activity would be of great benefit in studying its normal biomechanical functioning as well as its in vivo behavior in injured and surgically altered states. This paper proposes a method to analyze the mechanical response of the lumbar spine subjected to loads derived from human activity, combining a non-linear finite element model (FEM) and an optimization-based force predicting algorithm. Loads borne by the lumbar spine at the T12-L1 level (joint loads) are first predicted with the optimization algorithm and then applied to the FEM, while a boundary condition prescribing the relative L1-sacrum rotation is imposed onto the FEM to account for three-dimensional physiological thorax-pelvis orientation. The prescribed rotation is achieved through the application of moments on L1. To account for the effect of these moments on lumbar joint loads, an iteration between the optimization technique and the FEM computation has been carried out. This method provides two main benefits over previous studies: first, it allows for the application of any 3D loading condition while considering the real 3D rotation measured between the thorax and the pelvis, and second, it makes it possible to estimate the moments that must be applied on L1 in order to maintain this rotation, taking them into account when predicting joint loads. As an example application of the method, results are presented for the lumbar spine mechanical response at the time of peak T12-L1 joint force during walking.

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Year:  2004        PMID: 14644594     DOI: 10.1016/s1350-4533(03)00128-0

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Anatomical and biomechanical analyses of the unique and consistent locations of sacral insufficiency fractures.

Authors:  Nathan J Linstrom; Joseph E Heiserman; Keith E Kortman; Neil R Crawford; Seungwon Baek; Russell L Anderson; Alan M Pitt; John P Karis; Jeff S Ross; Gregory P Lekovic; Bruce L Dean
Journal:  Spine (Phila Pa 1976)       Date:  2009-02-15       Impact factor: 3.468

2.  A computationally efficient strategy to estimate muscle forces in a finite element musculoskeletal model of the lower limb.

Authors:  Alessandro Navacchia; Donald R Hume; Paul J Rullkoetter; Kevin B Shelburne
Journal:  J Biomech       Date:  2018-12-28       Impact factor: 2.712

3.  Multiscale modeling in computational biomechanics.

Authors:  Merryn Tawhai; Jeff Bischoff; Daniel Einstein; Ahmet Erdemir; Trent Guess; Jeff Reinbolt
Journal:  IEEE Eng Med Biol Mag       Date:  2009 May-Jun

4.  Investigating sacroplasty: technical considerations and finite element analysis of polymethylmethacrylate infusion into cadaveric sacrum.

Authors:  C T Whitlow; S K Yazdani; M L Reedy; S E Kaminsky; J L Berry; P P Morris
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

5.  A model-based approach for estimation of changes in lumbar segmental kinematics associated with alterations in trunk muscle forces.

Authors:  Iman Shojaei; Navid Arjmand; Judith R Meakin; Babak Bazrgari
Journal:  J Biomech       Date:  2017-10-06       Impact factor: 2.712

6.  Integration of neural architecture within a finite element framework for improved neuromusculoskeletal modeling.

Authors:  Victoria L Volk; Landon D Hamilton; Donald R Hume; Kevin B Shelburne; Clare K Fitzpatrick
Journal:  Sci Rep       Date:  2021-11-26       Impact factor: 4.379

7.  Development and kinematic verification of a finite element model for the lumbar spine: application to disc degeneration.

Authors:  Elena Ibarz; Antonio Herrera; Yolanda Más; Javier Rodríguez-Vela; José Cegoñino; Sergio Puértolas; Luis Gracia
Journal:  Biomed Res Int       Date:  2012-12-05       Impact factor: 3.411

  7 in total

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