Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy.

Journal: IEEE transactions on bio-medical engineering
Published Date:

Abstract

Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and dexterity, reduced patient trauma and risk, and promise to lessen the skill gap among surgeons. These approaches are common in general surgery, urology, and gynecology. However, MIS techniques remain largely absent for surgical applications within narrow, confined workspaces, such as neuroendoscopy. The limitation stems from a lack of small yet dexterous robotic tools. In this work, we present the first instance of a surgical robot with a direct magnetically-driven end effector capable of being deployed through a standard neuroendoscopic working channel (3.2 mm outer diameter) and operate at the neuroventricular scale. We propose a physical model for the gripping performance of three unique end-effector magnetization profiles and mechanical designs. Rates of blocking force per external magnetic flux density magnitude were 0.309 N/T, 0.880 N/T, and 0.351 N/T for the three designs which matched the physical model's prediction within 14.9% error. The rate of gripper closure per external magnetic flux density had a mean percent error of 11.2% compared to the model. The robot's performance was qualitatively evaluated during a pineal region tumor resection on a tumor analogue in a silicone brain phantom. These results suggest that wireless magnetic actuation may be feasible for dexterously manipulating tissue during minimally invasive neurosurgical procedures.

Authors

  • Andrew Lim
  • Adam Schonewille
  • Cameron Forbrigger
  • Thomas Looi
    Centre for Image Guided Innovation and Therapeutic Intervention, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada and The Institute of Biomaterials and Biomedical Engineering, The University of Toronto, Toronto, Ontario M5G 3G9, Canada.
  • James Drake
  • Eric Diller
    Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8 Canada.