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A real-time reconstructed grid method for soft tissue cutting and haptic.

Liang Li1, Lai Zhou1, Xueyu Zhou1

  • 1Pre-research Department, China Simulation Sciences Co. Ltd., No. 1 Kangqiao East Road, Building 2, Pudong New District, Shanghai, 201315, China.

Computer Methods and Programs in Biomedicine
|October 28, 2025
PubMed
Summary

This study introduces a GPU-optimized parallel data structure for virtual surgery systems, enabling efficient cutting with minimal volume loss and realistic force feedback without tool penetration for improved medical training.

Keywords:
HapticSoft tissue cuttingVirtual surgery

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Area of Science:

  • Computer-assisted surgery
  • Medical simulation technology
  • GPU computing

Background:

  • Existing virtual surgery systems face challenges like distorted grids, volume loss during cutting, and inefficient computation.
  • Surgical tool penetration and lack of realistic force feedback hinder training and planning.

Purpose of the Study:

  • To develop a novel parallel data structure optimized for GPU computation in virtual surgery.
  • To enhance cutting efficiency, minimize volume loss, and implement accurate force feedback without penetration.

Main Methods:

  • Utilized the Dual Contouring algorithm within a deformable grid framework for real-time mesh reconstruction.
  • Precomputed voxel grid connections and feature point calculations for accelerated single-thread GPU processing.
  • Implemented a Signed Distance Field (SDF) and Finger-proxy model for collision detection and force feedback.

Main Results:

  • The proposed method preserves non-manifold surface features during real-time cutting, maintaining frame rates with increased cuts.
  • SDF-based collision detection provides accurate collision volume and force feedback effects.
  • Achieved interactive frame rates suitable for real-time surgical simulations.

Conclusions:

  • The developed method effectively handles interactive cutting and collision in virtual surgery.
  • Contributes to more efficient and realistic virtual surgery simulations for training and planning.
  • Meets real-time performance requirements for advanced medical applications.