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Building An Open-source Robotic Stereotaxic Instrument
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Master-slave robotic platform and its feasibility study for micro-neurosurgery.

Mamoru Mitsuishi1, Akio Morita, Naohiko Sugita

  • 1School of Engineering, University of Tokyo, Hongo, Tokyo, Japan. mamoru@nml.t.u-tokyo.ac.jp

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|May 17, 2012
PubMed
Summary

A new master-slave robotic platform enhances neurosurgical microsurgery precision, overcoming manual dexterity limitations and tremors. This system successfully performed delicate vessel anastomoses, improving accuracy for complex procedures.

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Area of Science:

  • Neurosurgery
  • Robotics
  • Surgical Technology

Background:

  • Microsurgery in neurosurgery presents challenges due to limited surgeon dexterity and hand tremors.
  • High accuracy is critical for successful microsurgical procedures.

Purpose of the Study:

  • To develop and evaluate a master-slave robotic platform for neurosurgical microsurgery.
  • To enhance surgeon's dexterity and positioning accuracy during complex procedures.

Main Methods:

  • A master-slave robotic platform with a position-orientation decoupled design was developed.
  • A smooth trajectory generation method was implemented to improve control.
  • Robotic-assisted microsurgical tasks were compared to manual operations.

Main Results:

  • The robotic platform demonstrated improved positioning accuracy compared to manual microsurgery.
  • Successful anastomoses of 0.3 and 0.5 mm artificial vessels were achieved in both end-to-end and end-to-side configurations.
  • The system provided sufficient accuracy and dexterity for fine, complex surgical tasks.

Conclusions:

  • The developed robotic system enables surgeons to perform intricate microsurgical tasks with enhanced precision.
  • While task completion time was longer, the robotic platform shows significant potential for improving neurosurgical outcomes.
  • Further enhancements in dexterity and user interface design are recommended for optimal performance.