Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

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

B Couteau1, Y Payan, S Lavallée

  • 1INSERM U518, Pathologies ostéoarticulaires, C.H.U. Purpan, BP 3103, 31026 3, Toulouse cedex, France. beatrice.couteau@purpan.inserm.fr

Journal of Biomechanics
|June 1, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Private groundwater contamination and risk management: A comparative scoping review of similarities, drivers and challenges across two socio-economically developed regions.

The Science of the total environment·2024
Same author

In vivo measurement of breast tissues stiffness using a light aspiration device.

Clinical biomechanics (Bristol, Avon)·2022
Same author

30 years of ocular proton therapy, the Nice view.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique·2022
Same author

Experimental characterisation and modelling of breast Cooper's ligaments.

Biomechanics and modeling in mechanobiology·2022
Same author

A 60 MeV proton beam-line dedicated to research and development programs.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2022
Same author

Impacts of COVID-19 lockdown on private domestic groundwater sample numbers, E. coli presence and E. coli concentration across Ontario, January 2020-March 2021: An interrupted time-series analysis.

The Science of the total environment·2022
Same journal

Shear wave velocity of biceps femoris and medial gastrocnemius in different positions and intensities: a cross-sectional study in healthy young males.

Journal of biomechanics·2026
Same journal

Gait event detection using hybrid EMG/IMU systems: effect of SENIAM-constrained sensor placement on lower limb segments.

Journal of biomechanics·2026
Same journal

Relationship between knee adduction moment and knee contact forces during walking and running with modified foot progression angles.

Journal of biomechanics·2026
Same journal

Scaling contact force parameters across body size, limb count, and number of contact spheres.

Journal of biomechanics·2026
Same journal

The extrapolated body center of mass predicts subsequent foot placement choice during dynamic single-leg landings.

Journal of biomechanics·2026
Same journal

Lateral reactive stepping responses differ between individuals with and without transfemoral amputation.

Journal of biomechanics·2026
See all related articles

This study introduces a new mesh-matching (M-M) algorithm for rapid, patient-specific 3D finite element (FE) model generation in orthopaedic biomechanics. The automated method successfully created customized bone meshes, overcoming limitations of manual processes.

Area of Science:

  • Biomechanics
  • Orthopaedics
  • Computational modeling

Background:

  • Finite element analysis (FEA) is crucial for stress and strain analysis in orthopaedics.
  • Manual 3D meshing for complex anatomical structures like bone is time-consuming, limiting FEA applications.
  • Existing methods lack efficiency for patient-specific biomechanical modeling.

Purpose of the Study:

  • To investigate a novel, automated method for generating patient-specific 3D finite element (FE) models.
  • To address the time-consuming nature of manual 3D meshing in orthopaedic biomechanics.
  • To enable efficient generation of customized FE models for complex anatomical structures.

Main Methods:

  • Development and application of the mesh-matching (M-M) algorithm.

Related Experiment Videos

  • Automated generation of customized 3D meshes from an existing validated model.
  • Creation of FE models for 10 proximal human femora using the M-M algorithm.

    • Main Results:

    • The mesh-matching (M-M) algorithm successfully generated customized 3D meshes automatically.
    • The automated meshing process was applied to complex anatomical structures (human femora).
    • The generated FE models demonstrated satisfying results, comparable to validated models.

    Conclusions:

    • The mesh-matching (M-M) algorithm offers an efficient, patient-specific solution for 3D FE model generation.
    • Automated meshing significantly reduces the time and effort required for orthopaedic biomechanical analyses.
    • This method holds potential for advancing patient-specific computational modeling in orthopaedics.