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Tracking multiple surgical instruments in a near-infrared optical system.

Ken Cai1, Rongqian Yang2, Qinyong Lin2

  • 1a School of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou , China.

Computer Assisted Surgery (Abingdon, England)
|December 16, 2016
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Summary

This study introduces a new method for surgical navigation systems to track multiple surgical instruments accurately. The near-infrared optical system (NOS) uses stereo matching with instrument codes to improve surgical precision and safety.

Keywords:
Multiple surgical instrumentsnear-infraredstereo matchingsurgical navigation

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Area of Science:

  • Medical technology
  • Computer vision
  • Surgical robotics

Background:

  • Surgical navigation systems enhance procedural precision and efficiency.
  • Near-infrared optical systems (NOS) are crucial components of surgical navigation.
  • Tracking multiple surgical instruments simultaneously presents a significant challenge.

Purpose of the Study:

  • To develop an effective stereo matching algorithm for tracking multiple surgical instruments within a near-infrared optical system (NOS).
  • To improve the accuracy and reliability of surgical instrument tracking in complex surgical environments.

Main Methods:

  • A novel stereo matching algorithm utilizing two intersecting lines and surgical instrument codes was proposed.
  • Near-infrared cameras captured markers on surgical instruments.
  • Subpixel coordinates were extracted, and intersecting lines identified real and pseudo markers.
  • A code-based distance summation method was employed to eliminate pseudo markers and achieve accurate stereo matching.

Main Results:

  • The proposed method successfully enabled automatic and accurate recognition of markers on different surgical instruments.
  • Experimental results demonstrated the capability of the NOS to precisely track multiple surgical instruments concurrently.
  • The algorithm effectively distinguished between real and pseudo markers, ensuring accurate localization.

Conclusions:

  • The developed stereo matching algorithm significantly enhances the capability of near-infrared optical systems for multi-instrument tracking.
  • This advancement contributes to improved precision and safety in computer-assisted surgical procedures.
  • The system offers a reliable solution for real-time tracking of surgical tools, aiding surgeons in complex operations.