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An Augmented Reality Endoscope System for Ureter Position Detection.

Feng Yu1, Enmin Song1, Hong Liu2

  • 1School of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Journal of Medical Systems
|June 26, 2018
PubMed
Summary

This study introduces an augmented reality system to detect the ureter during surgery, preventing iatrogenic injury. The system accurately identifies ureter position using novel algorithms and hardware, enhancing surgical safety.

Keywords:
Augmented realityAutomatic region growing algorithm (ARGA)Endoscope systemUreter injuryUreter position detection

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Biomedical Engineering

Background:

  • Iatrogenic ureteral injury is a serious surgical complication leading to kidney damage.
  • Accurate ureter localization is crucial for preventing such medical accidents during operations.
  • Existing endoscopic methods struggle to detect ureters obscured by human tissue.

Purpose of the Study:

  • To develop an augmented reality system for detecting and displaying ureter position during surgery.
  • To address challenges in visualizing covered ureters and ensuring stable, high-quality imaging without processing delays.
  • To enhance surgical safety by providing real-time ureter location information to clinicians.

Main Methods:

  • Utilized a surface-lighting plastic optical fiber (POF) with encoded light-emitting diode (LED) light for ureter marking.
  • Implemented a monochrome channel filtering algorithm (MCFA) for precise ureter region localization.
  • Employed an automatic region growing algorithm (ARGA) using monochrome channel statistics for seed point selection.
  • Developed a bright and dark frame recognition based on aided hardware (BDAH) for expedited processing.

Main Results:

  • The proposed system demonstrated an average ureter region identification rate of 92.04%.
  • The integrated algorithms and hardware effectively detected ureters not visible to standard endoscopes.
  • The system provided stable and high-quality images with minimal processing delay.

Conclusions:

  • The developed augmented reality endoscope system significantly improves ureter detection accuracy during surgery.
  • This technology has the potential to reduce the incidence of iatrogenic ureteral injuries.
  • The system offers a viable solution for real-time ureter visualization, enhancing surgical outcomes.