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Surface Tension of Fluid

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Modeling the Endothelial Glycocalyx Post-Pneumonectomy in a 3D Fluidic Chip - An Approach to Fabricating a Vascular-based Organ-on-Chip System
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Modeling the Endothelial Glycocalyx Post-Pneumonectomy in a 3D Fluidic Chip - An Approach to Fabricating a Vascular-based Organ-on-Chip System

Published on: September 16, 2025

Layered surface fluid simulation for surgical training.

Louis Borgeat1, Philippe Massicotte, Guillaume Poirier

  • 1National Research Council of Canada. first.last@nrc-cnrc.gc.ca

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel GPU-accelerated fluid simulation for virtual surgery, enabling realistic bleeding effects on dynamic surgical environments. The efficient method enhances training for complex procedures like brain tumor resection.

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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Area of Science:

  • Medical Simulation
  • Computer Graphics
  • Fluid Dynamics

Background:

  • Virtual surgery simulation requires realistic rendering of physiological phenomena like bleeding.
  • Existing fluid simulation methods struggle with dynamic geometry and real-time performance.

Purpose of the Study:

  • To develop an efficient and realistic fluid simulation for virtual surgery.
  • To enable simulation of bleeding on complex, deforming surfaces in real-time.
  • To enhance surgical training by incorporating dynamic bleeding management.

Main Methods:

  • A surface-based fluid simulation model combined with multi-layer depth peeling.
  • GPU implementation for fast fluid propagation and accumulation.
  • Integration into a virtual brain tumor resection simulator.

Main Results:

  • Achieved realistic and efficient simulation of bleeding on dynamic geometry.
  • Demonstrated constant low computational cost independent of fluid volume.
  • Successfully integrated into a surgical simulator for trainee practice.

Conclusions:

  • The proposed method offers a significant advancement in virtual surgical simulation.
  • Enables realistic training for managing bleeding during complex procedures.
  • Provides a scalable and efficient solution for real-time fluid simulation in virtual environments.