Literature DB >> 10828331

The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures.

B Couteau1, Y Payan, S Lavallée.   

Abstract

Several authors have employed finite element analysis for stress and strain analysis in orthopaedic biomechanics. Unfortunately, the definition of three-dimensional models is time consuming (mainly because of the manual 3D meshing process) and consequently the number of analyses to be performed is limited. The authors have investigated a new patient-specific method allowing automatically 3D mesh generation for structures as complex as bone for example. This method, called the mesh-matching (M-M) algorithm, generated automatically customized 3D meshes of anatomical structures from an already existing model. The M-M algorithm has been used to generate FE models of 10 proximal human femora from an initial one which had been experimentally validated. The automatically generated meshes seemed to demonstrate satisfying results.

Entities:  

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Year:  2000        PMID: 10828331     DOI: 10.1016/s0021-9290(00)00055-5

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  9 in total

1.  Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation.

Authors:  Grand Roman Joldes; Adam Wittek; Karol Miller
Journal:  Comput Methods Appl Mech Eng       Date:  2010-12-15       Impact factor: 6.756

2.  Automated subject-specific, hexahedral mesh generation via image registration.

Authors:  Songbai Ji; James C Ford; Richard M Greenwald; Jonathan G Beckwith; Keith D Paulsen; Laura A Flashman; Thomas W McAllister
Journal:  Finite Elem Anal Des       Date:  2011-10-01       Impact factor: 2.972

Review 3.  Biomechanical modeling and computer simulation of the brain during neurosurgery.

Authors:  Karol Miller; Grand R Joldes; George Bourantas; Simon K Warfield; Damon E Hyde; Ron Kikinis; Adam Wittek
Journal:  Int J Numer Method Biomed Eng       Date:  2019-09-05       Impact factor: 2.747

4.  Comparison of Displacement-Based and Force-Based Mapped Meshing.

Authors:  Vincent A Magnotta; Wen Li; Nicole M Grosland
Journal:  Midas J       Date:  2008-08-14

5.  Computational reconstruction of cell and tissue surfaces for modeling and data analysis.

Authors:  Frederick Klauschen; Hai Qi; Jackson G Egen; Ronald N Germain; Martin Meier-Schellersheim
Journal:  Nat Protoc       Date:  2009-06-04       Impact factor: 13.491

6.  Morphing methods to parameterize specimen-specific finite element model geometries.

Authors:  Ian A Sigal; Hongli Yang; Michael D Roberts; J Crawford Downs
Journal:  J Biomech       Date:  2009-10-29       Impact factor: 2.712

7.  Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation.

Authors:  Grand Roman Joldes; Adam Wittek; Karol Miller
Journal:  Med Image Anal       Date:  2008-12-24       Impact factor: 8.545

8.  An anatomically detailed and personalizable head injury model: Significance of brain and white matter tract morphological variability on strain.

Authors:  Xiaogai Li; Zhou Zhou; Svein Kleiven
Journal:  Biomech Model Mechanobiol       Date:  2020-10-10

9.  Personalized biomechanical tongue models based on diffusion-weighted MRI and validated using optical tracking of range of motion.

Authors:  K D R Kappert; L Voskuilen; L E Smeele; A J M Balm; B Jasperse; A J Nederveen; F van der Heijden
Journal:  Biomech Model Mechanobiol       Date:  2021-03-07
  9 in total

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