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: Jun 19, 2025

Step By Step: Microsurgical training method combining two nonliving animal models
05:25

Step By Step: Microsurgical training method combining two nonliving animal models

Published on: May 9, 2015

15.2K

Bleeding simulation with stepless adaptive particles for surgical simulation systems.

Wen Shi1, Wenguo Hou2, Li Jin1

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, PR China.

Computer Methods and Programs in Biomedicine
|July 24, 2024
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

The influence of preincubation time of prepared sperm before IVF on fertilization, embryo developmental competence and the reproductive outcomes.

Ginekologia polska·2021
Same author

Potential effects of calcium binding protein S100A12 on severity evaluation and curative effect of severe acute pancreatitis.

Inflammation·2014
Same author

Quantitative trait analysis of polymorphisms in two bilirubin metabolism enzymes to physiologic bilirubin levels in Chinese newborns.

The Journal of pediatrics·2014
Same author

Evaluating the Y chromosomal timescale in human demographic and lineage dating.

Investigative genetics·2014
Same author

Potentially functional polymorphisms in the ERCC2 gene and risk of esophageal squamous cell carcinoma in Chinese populations.

Scientific reports·2014
Same author

Variation and signatures of selection on the human face.

Journal of human evolution·2014
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
Same journal

Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition.

Computer methods and programs in biomedicine·2026
See all related articles

An innovative adaptive-particle algorithm enhances virtual surgery realism by simulating bleeding surfaces efficiently. This method improves visual effects and real-time performance, crucial for surgical training and simulation.

Area of Science:

  • Virtual Reality
  • Medical Simulation
  • Computational Science

Background:

  • Realistic bleeding simulation is vital for virtual surgery realism.
  • High computational complexity of traditional particle methods hinders real-time performance.
  • Existing methods lack sufficient visual fidelity and physical accuracy.

Purpose of the Study:

  • To develop an adaptive-particle-based algorithm for realistic virtual surgery bleeding simulation.
  • To improve visual realism while maintaining real-time performance and physical properties.
  • To reduce computational complexity without sacrificing visual quality.

Main Methods:

  • Integrated three modules using a Lagrangian particle method for high-fidelity simulation.
  • Proposed a stepless adaptive particle algorithm adjusting mass/radius based on position.
Keywords:
Adaptive particleBiomechanical propertiesBleeding simulationRepulsive forceVirtual surgical

More Related Videos

Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.6K
A Training and Testing System for Performing Vascular Reconstruction In Vitro
09:52

A Training and Testing System for Performing Vascular Reconstruction In Vitro

Published on: October 26, 2019

8.0K

Related Experiment Videos

Last Updated: Jun 19, 2025

Step By Step: Microsurgical training method combining two nonliving animal models
05:25

Step By Step: Microsurgical training method combining two nonliving animal models

Published on: May 9, 2015

15.2K
Simulator Training for Endovascular Neurosurgery
08:08

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

3.6K
A Training and Testing System for Performing Vascular Reconstruction In Vitro
09:52

A Training and Testing System for Performing Vascular Reconstruction In Vitro

Published on: October 26, 2019

8.0K
  • Incorporated particle repulsion for mass conservation and improved Smoothed Particle Hydrodynamics (SPH) for biomechanics.

    • Main Results:

    • Achieved smoother bleeding surfaces, especially during topological changes like suction.
    • Demonstrated stepless variations in particle radius through particle tracking.
    • Validated suitability for various wound types and virtual surgical applications.

    Conclusions:

    • The proposed adaptive-particle algorithm significantly enhances bleeding simulation realism in virtual surgery.
    • The method balances visual fidelity with computational efficiency for real-time applications.
    • This approach offers a robust solution for simulating bleeding effects across diverse surgical scenarios.