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CPU-GPU mixed implementation of virtual node method for real-time interactive cutting of deformable objects using

Shiyu Jia1, Weizhong Zhang, Xiaokang Yu

  • 1College of Information Engineering, Qingdao University, Qingdao, 266071, Shandong, People's Republic of China, shiyujia-qdu@qq.com.

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Summary
This summary is machine-generated.

This study introduces a novel cutting algorithm for surgical simulators that enables real-time, stable deformation of virtual tissues. The method achieves high simulation rates, improving interactive surgical training experiences.

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Area of Science:

  • Computer Graphics
  • Medical Simulation
  • Finite Element Analysis

Background:

  • Real-time simulation of deformable objects is crucial for interactive surgical simulators.
  • Existing methods often struggle with numerical stability during cutting and deformation.
  • Efficient GPU acceleration is needed to handle complex simulations.

Purpose of the Study:

  • To design an interactive cutting algorithm for surgical simulators.
  • To enable real-time, GPU-accelerated deformation without compromising numerical stability.
  • To eliminate traditional cutting state classification for simpler integration.

Main Methods:

  • A modified virtual node method using dual real and virtual tetrahedral meshes.
  • CPU-based cutting and collision processing with GPU-accelerated deformation (OpenCL).
  • Co-rotational linear finite element method for deformation calculations.

Main Results:

  • The algorithm produces continuous cut surfaces, outperforming traditional methods.
  • GPU-accelerated deformation remained stable under multiple, arbitrary cuts.
  • Achieved GPU-CPU speed ratios up to 10 and simulation rates of 100-200 Hz for complex models.

Conclusions:

  • The proposed cutting algorithm and GPU-accelerated deformation are stable and efficient for surgical simulation.
  • Identified bottlenecks in cutting, collision processing, and data transfer for future optimization.
  • The method enhances the realism and performance of interactive surgical training tools.