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Related Experiment Video

Updated: Jun 23, 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

Hybrid network architecture for interactive multi-user surgical simulator with scalable deformable models.

Ganesh Sankaranarayanan1, Dhanannjay Deo, Suvranu De

  • 1Rensselaer Polytechnic Institute, Troy, NY 12180, USA. sankag@rpi.edu

Studies in Health Technology and Informatics
|April 21, 2009
PubMed
Summary

This study demonstrates successful global surgical collaboration using a hybrid network and deformable models. Two users interacted in real-time despite a 183 ms network delay, proving feasibility for remote surgical assistance.

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Area of Science:

  • Robotics and Automation
  • Medical Simulation
  • Networked Systems

Background:

  • Advancing remote surgical capabilities requires overcoming network latency challenges.
  • Interactive surgical collaboration demands real-time haptic feedback and accurate tissue simulation.
  • Hybrid network architectures offer potential solutions for global-scale applications.

Purpose of the Study:

  • To present the first results of a global-scale interactive surgical collaboration experiment.
  • To evaluate a hybrid network architecture for surgical collaboration.
  • To assess a scalable deformable model for simulating non-linear tissue behavior at haptic rates.

Main Methods:

  • Conducted a global-scale interactive surgical collaboration experiment.

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Last Updated: Jun 23, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Published on: August 5, 2021

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  • Utilized a hybrid network architecture.
  • Employed a scalable deformable model for simulating non-linear tissue behavior.
  • Tested interactive collaboration at haptic rates with time-varying one-way delay.

    • Main Results:

    • Achieved interactive collaboration between two users at haptic rates.
    • Successfully simulated non-linear tissue behavior in real-time.
    • Demonstrated feasibility with a time-varying one-way delay of 183 ms between users.
    • Validated the hybrid network architecture for global-scale applications.

    Conclusions:

    • Global-scale interactive surgical collaboration is feasible using hybrid networks and advanced simulation models.
    • The developed system can support real-time haptic interaction despite significant network delays.
    • This technology holds promise for enhancing remote surgical training and assistance.