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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

4D CT angiography and computational biomechanics dataset for structural integrity assessment of abdominal aortic aneurysms.

Data in brief·2026
Same author

Towards Personalised Assessment of Abdominal Aortic Aneurysm Structural Integrity.

International journal for numerical methods in biomedical engineering·2026
Same author

4D-CTA image and geometry dataset for kinematic analysis of abdominal aortic aneurysms.

Data in brief·2025
Same author

Corrigendum to "Kinematics of abdominal aortic Aneurysms" [J. Biomech. 179 (2025) 112484].

Journal of biomechanics·2025
Same author

Kinematics of abdominal aortic Aneurysms.

Journal of biomechanics·2024
Same author

Personalised <i>in silico</i> biomechanical modelling towards the optimisation of high dose-rate brachytherapy planning and treatment against prostate cancer.

Frontiers in physiology·2024
Same journal

An interpretable, clinically-aligned AI paradigm for VTE risk prediction: an approach using LLMs and compound attention.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Effects of different resistance loads during resisted sprint running on internal stresses of the ankle joint: a finite element analysis.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Analysis of typical cases of medical infusion pump metering acceptance in nursing scenarios.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Investigation of biomechanical effect of inverted orthotic insoles on flexible flatfeet.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

FeuNet: cross-user gesture recognition and fingertip force estimation network based on feature enhancement and U-Net.

Computer methods in biomechanics and biomedical engineering·2026
Same journal

Both chronological age and individual differences in aging are the two indispensable components for predicting biological age.

Computer methods in biomechanics and biomedical engineering·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Meshless algorithm for soft tissue cutting in surgical simulation.

Xia Jin1, Grand Roman Joldes, Karol Miller

  • 1a Intelligent Systems for Medicine Laboratory, School of Mechanical and Chemical Engineering, University of Western Australia , 35 Stirling Highway, Crawley, Perth , WA 6009 , Australia.

Computer Methods in Biomechanics and Biomedical Engineering
|September 15, 2012
PubMed
Summary
This summary is machine-generated.

A new meshless algorithm accurately simulates soft tissue mechanics for surgery, overcoming limitations of traditional finite element methods in modeling surgical cuts. This advance improves surgical simulation and image-guided procedures.

More Related Videos

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training
09:15

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training

Published on: February 10, 2022

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning
08:41

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Related Experiment Videos

Last Updated: May 18, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training
09:15

Creation of Patient-Specific Silicone Cardiac Models with Applications in Pre-surgical Plans and Hands-on Training

Published on: February 10, 2022

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning
08:41

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Area of Science:

  • Computational mechanics
  • Medical simulation
  • Surgical technology

Background:

  • Finite element (FE) methods dominate surgery simulation but struggle with surgical cutting due to high computational costs and re-meshing needs.
  • Modeling discontinuities like surgical cuts presents significant challenges for traditional mesh-based computational approaches.
  • Accurate simulation of soft tissue behavior is crucial for advancing surgical planning and guidance.

Purpose of the Study:

  • To introduce a novel meshless algorithm for simulating soft tissue mechanical responses.
  • To address the shortcomings of mesh-based methods in modeling surgical cutting.
  • To validate the accuracy of the proposed algorithm against established methods.

Main Methods:

  • Development of a meshless total Lagrangian adaptive dynamic relaxation (MTLADR) algorithm using a nodal cloud for spatial discretization.
  • Modeling cutting-induced discontinuities by adjusting nodal domains of influence via the level set method and visibility criterion.
  • Implementation of an efficient visibility criterion for handling discontinuities.

Main Results:

  • The meshless MTLADR algorithm effectively models surgical cutting without the high computational cost or re-meshing required by FE methods.
  • The algorithm accurately represents cutting-induced discontinuities through modifications in nodal domains of influence.
  • Validation confirmed the accuracy of the MTLADR algorithm against commercial FE code Abaqus.

Conclusions:

  • The meshless MTLADR algorithm offers a computationally efficient and accurate alternative for simulating soft tissue mechanics, particularly for surgical cutting.
  • This method overcomes key limitations of FE analysis in surgical simulation, enabling more robust and realistic virtual surgical environments.
  • The proposed approach enhances the potential for improved surgical simulation and image-guided surgery applications.