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Autonomic Nervous System01:22

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Autonomous neuro-registration for robot-based neurosurgery.

Abhishek Kaushik1, T A Dwarakanath2, Gaurav Bhutani2

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Automating neuro-registration with a 6-degree-of-freedom Parallel Kinematic Mechanism (6D-PKM) robot significantly enhances surgical accuracy. This method reduces errors and improves the precision of robot-based neurosurgery.

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Application of parallel manipulator in surgeryAutonomous neuro-registrationImage-guided surgeryNeuronavigationRobot-based neurosurgery

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Area of Science:

  • Neurosurgery and Medical Robotics
  • Image-Guided Surgery
  • Surgical Navigation Systems

Background:

  • Neuro-registration is critical for accurate neurosurgery, but current methods are prone to errors.
  • Surgical robot accuracy is often limited by the precision of the neuro-registration process.

Purpose of the Study:

  • To automate the neuro-registration process to enhance the overall accuracy of robot-based neurosurgery.
  • To develop a unified system for both neuro-registration and neurosurgery using a single robotic platform.

Main Methods:

  • Utilized a 6-degree-of-freedom Parallel Kinematic Mechanism (6D-PKM) robot for autonomous neuro-registration.
  • The robot autonomously navigated to fiducial markers to establish spatial relationships between medical images and patient anatomy.
  • Validated the method using four specialized phantoms simulating neurosurgical conditions.

Main Results:

  • Successfully registered all four phantoms using the autonomous neuro-registration method.
  • Demonstrated high accuracy and repeatability in reaching target points with a surgical needle after registration.
  • Achieved precise navigation through challenging coaxial holes, validating the system's accuracy.

Conclusions:

  • Developed and validated a novel method for autonomous neuro-registration.
  • The automated process considerably improves the accuracy of robot-based neurosurgery.
  • Key benefits include reduced registration time, elimination of line-of-sight issues, reduced human error, and lower costs.