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Robot-Based Autonomous Neuroregistration and Neuronavigation: Implementation and Case Studies.

Abhishek Kaushik1, T A Dwarakanath2, Gaurav Bhutani3

  • 1Department of Engineering Sciences, Homi Bhabha National Institute, Mumbai, India.

World Neurosurgery
|October 20, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an autonomous robot for neurosurgery, achieving high accuracy and speed. The robot successfully performs hands-off neuroregistration and neuronavigation, outperforming manual methods.

Keywords:
Autonomous neuroregistrationImage-guided surgeryNeuronavigationRobot-based neurosurgery

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Area of Science:

  • Neurosurgery
  • Robotics
  • Medical Imaging

Background:

  • Advancing autonomous robotic systems for neurosurgical procedures.
  • Improving accuracy and reducing procedure time in neurosurgery.

Purpose of the Study:

  • To conduct an autonomous robot-based neurosurgical procedure with high accuracy and minimal time.
  • To analyze and validate the developed robotic method.

Main Methods:

  • Image-guided robotic system for autonomous neuroregistration and neuronavigation.
  • Utilizing fiducial markers and algorithms for precise robot motion planning.
  • Robot-guided surgical tool navigation to the target region of interest.

Main Results:

  • Achieved sub-millimeter accuracy in phantom registration across all tested poses.
  • Demonstrated high-precision navigation to the target in all experimental conditions.
  • Successful hands-off neuroregistration and neuronavigation confirmed.

Conclusions:

  • The autonomous robot system is effective for hands-off neuroregistration and neuronavigation.
  • The robotic approach offers significantly higher accuracy and reduced procedure time compared to manual methods.
  • Validated the potential of robotics to enhance neurosurgical outcomes.