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Related Experiment Video

Updated: Jun 19, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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EasyVis: a real-time 3D visualization software system for laparoscopic surgery box trainer.

Yung-Hong Sun1, Jianwei Ke2, Jayer Fernandes2

  • 1Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA. ysun376@wisc.edu.

Updates in Surgery
|March 16, 2025
PubMed
Summary
This summary is machine-generated.

EasyVis, an immersive 3D laparoscopic visualization system, shows promise for enhancing surgical efficiency. This study validates its feasibility using a novel algorithm for real-time 3D pose estimation and rendering of surgical instruments.

Keywords:
Few-view reconstructionLaparoscopic surgery training boxReal-time 3D reconstructionReal-time 3D renderingReal-time augmented realityReal-time surgical interactive system

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Surgical Technology

Background:

  • Laparoscopic surgery demands advanced visualization tools for improved efficiency and safety.
  • Existing systems may lack the immersive, real-time 3D capabilities needed for complex procedures.

Purpose of the Study:

  • To validate the feasibility of the EasyVis immersive 3D laparoscopic visualization system.
  • To develop and test a visualization algorithm for real-time 3D object tracking and rendering in a surgical training environment.

Main Methods:

  • Developed 2D object detection and tracking algorithms to determine the 2D pose of surgical tools.
  • Implemented a 3D fusion algorithm to estimate and track the 3D pose of rigid surgical instruments.
  • Acquired 3D models of foreground objects and background environments using structured light and structure from motion.
  • Integrated foreground and background 3D models for image-based rendering from desired viewpoints.

Main Results:

  • Successfully demonstrated the capability to acquire and track the 3D pose of rigid laparoscopic surgical tools.
  • Validated the accuracy and quality of rendered images integrating foreground and background 3D models.
  • Confirmed the feasibility of the EasyVis system in a simulated laparoscopic surgery training environment.

Conclusions:

  • The EasyVis system, coupled with the developed visualization algorithm, offers a feasible approach for immersive 3D laparoscopic surgery.
  • This technology has the potential to enhance surgical training and improve the efficiency of laparoscopic procedures through real-time 3D visualization.