Abstract

Percutaneous interventions via minimally invasive surgical systems can provide patients with better outcomes and faster recovery times than open surgeries. Accurate needle insertions are vital for successful procedures, and actively steered needles can increase system precision. Here, we describe how biology inspired the design of a novel Programmable Bevel-Tip Needle (PBN), mimicking the mechanics and control methods of certain insects ovipositors. Following an overview of our unique research and development journey, this paper explores our latest, biomimetic control of PBNs and its application to neurosurgery, which we validate within a simulated environment. Three modalities are presented, namely a Direct Push Controller, a Cyclic Actuation Controller, and a newly developed Hybrid Controller, which have been integrated into a surgical visual interface. The results of open loop, expert human-in-the-loop and a non-expert user study show that the Hybrid Controller is the best choice when considering system performance and the ability to lesson strain on the surrounding tissue which we hypothesis will result in less damage along the insertion tract. Over representative trajectories for neurosurgery using a Hybrid Controller, an expert user could reach a target along a 3D path with an accuracy of mm, and non-expert users mm, both clinically viable results and equivalent or better than the state-of-the-art actively steered needles over 3D paths. This paper showcases a successful example of a biologically inspired, actively steered needle, which has been integrated within a clinical interface and designed for seamless integration into the neurosurgical workflow.

Highlights

  • The optimal low level control of needles for the application of percutaneous interventions [1] for Minimally Invasive Surgery (MIS) is an open research topic

  • (M = 0.999, SD = 0.038) was significantly higher than those for the direct push controller (DPC) (M = 0.433, SD = 0.038) and the hybrid controller (HC) (M = 0.498, SD = 0.038). These results show the cyclic actuation controller (CAC) displays higher path following position error compared to the DAC and the HC, but that all modalities result in similar performance in reaching the target pose

  • We found an HC with no significant performance differences compared to the DPC when used by both an expert and a group of non-experts, with δt = 5 mm, who used CAC motion profiles more than 75% of the time

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Summary

Introduction

The optimal low level control of needles for the application of percutaneous interventions [1] for Minimally Invasive Surgery (MIS) is an open research topic. Whilst passive needles have more simple kinematics compared to active needles and so are easier to model and control, active needles are better able to adapt to varying environmental conditions intraoperatively, leading to higher accuracy of path following and final placement. The first, and earliest, category of steerable needles, consists of the base manipulation of straight, flexible needles through solid tissue, whereby the base manipulation of the robot, and the needle–tissue reaction forces, are used to move the needle along a curved path. Often, these needles have bevelled and/or precurved needle tips [3,4,5], to increase the achievable curvature. This technique is commonly used in practice and is accurate for shallow insertions, ; for deeper insertions, steerability is limited, Biomimetics 2020, 5, 68; doi:10.3390/biomimetics5040068 www.mdpi.com/journal/biomimetics

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