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 Video

Updated: May 19, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Beyond finite elements: a comprehensive, patient-specific neurosurgical simulation utilizing a meshless method.

K Miller1, A Horton, G R Joldes

  • 1Intelligent Systems for Medicine Laboratory, The University of Western Australia, Crawley, Perth, Western Australia 6909, Australia. kmiller@mech.uwa.edu.au

Journal of Biomechanics
|September 1, 2012
PubMed
Summary

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

Design and implementation of a microlearning-based OSCE preparatory curriculum in obstetrics: a pilot study.

Archives of gynecology and obstetrics·2025
Same author

Morpho-mechanical analysis of porcine growth plate tissue mechanics under torsional shear.

Journal of the mechanical behavior of biomedical materials·2025
Same author

Improvements to the Faraday cup fast ion loss detector and magnetohydrodynamic induced fast ion loss measurements in Joint European Torus plasmas.

The Review of scientific instruments·2020
Same author

On the appropriateness of modelling brain parenchyma as a biphasic continuum.

Journal of the mechanical behavior of biomedical materials·2016
Same author

High Resolution Strain Analysis Comparing Aorta and Abdominal Aortic Aneurysm with Real Time Three Dimensional Speckle Tracking Ultrasound.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2015
Same author

Susceptibility to Myxobolus cerebralis among Tubifex tubifex populations from ten major drainage basins in Colorado where Cutthroat Trout are endemic.

Journal of aquatic animal health·2014

The Meshless Total Lagrangian Explicit Dynamics Method (MTLED) accurately simulates brain deformations during surgery. This novel approach is fast, requires minimal user input, and achieves high precision for clinical applications.

Area of Science:

  • Computational mechanics
  • Biomedical engineering
  • Surgical simulation

Background:

  • Clinical surgical simulations require methods capable of handling large tissue deformations using nonlinear formulations.
  • Existing methods often demand significant computational resources and manual effort for domain discretization.

Purpose of the Study:

  • To introduce and validate the Meshless Total Lagrangian Explicit Dynamics Method (MTLED) for accurate and efficient surgical simulations.
  • To assess the MTLED's capability in computing patient-specific brain deformations during surgical procedures.

Main Methods:

  • Developed the MTLED, a meshless method utilizing fully nonlinear formulations for large deformations.
  • Employed automatic node distribution and a regular background grid, simplifying patient-specific model generation.

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Related Experiment Videos

Last Updated: May 19, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

  • Incorporated nonlinear material models and frictionless sliding contact for realistic surgical scenarios.

    • Main Results:

    • MTLED accurately computed brain deformations using patient-specific MRI data.
    • Simulation results showed excellent agreement with intraoperative MRIs and Finite Element Analysis (FEA), with differences under 0.2mm.
    • The method demonstrated efficiency on consumer hardware, meeting clinical simulation requirements.

    Conclusions:

    • The MTLED is a viable and effective method for patient-specific surgical simulations, particularly for neurosurgery.
    • Its ability to handle large deformations, speed, and ease of use make it suitable for clinical applications.
    • The method's accuracy is within the tolerance of surgical and imaging equipment, paving the way for enhanced surgical planning and training.