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Using Continuum Robots for Force-Controlled Semi Autonomous Organ Exploration and Registration

International Symposium on Medical Robotics (ISMR)(2018)

Vanderbilt Univ

Cited 3|Views32
Abstract
To perform semi-automated surgical tasks or to assign virtual fixtures for telemanipulated surgical procedures, accurate correspondence between preoperative and intraoperative organ geometry is required. To overcome organ deformation and shift relative to pre-operative images, this paper proposes using force-controlled exploration to update organ geometry using a deformable registration of a pre-operative model to the surgical scene. Since continuum robots can offer deep access into the anatomy, we explore the unique challenges associated with their use to achieve force-controlled exploration. A mixed feedback control law is proposed whereby joint-level and end-effector position measurements are used to satisfy a reference motion trajectory. A hybrid force/position controller is presented using sensory input from magnetic tracking and force sensing. Validation of the proposed control algorithms is achieved on the IREP (a single port access surgical system). Experimental results show that, despite deformation of an organ, the surgical plan can be deformably registered using force-controlled exploration data via an implementation of coherent point drift registration. Future work includes integrating intrinsic force sensing, updating virtual fixture laws in the presence of organ deformations or swelling, and semi-automation of surgical tasks.
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Key words
continuum robots,semiautonomous organ exploration,surgical tasks,virtual fixtures,telemanipulated surgical procedures,preoperative organ geometry,intraoperative organ geometry,organ deformation,deformable registration,surgical scene,mixed feedback control law,end-effector position measurements,reference motion trajectory,hybrid force/position controller,single port access surgical system,surgical plan,force-controlled exploration data,coherent point drift registration,integrating intrinsic force sensing,virtual fixture laws,preoperative images,preoperative model,autonomous organ registration,IREP system
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要点】:本文提出了一种使用力控连续机器人进行半自动器官探测与配准的方法,以实现手术过程中器官几何形态的准确对应,解决了器官变形和移位的问题。

方法】:研究采用混合反馈控制法,结合关节级别和末端执行器的位置测量,满足参考运动轨迹,并通过磁跟踪和力感测输入实现混合力/位置控制。

实验】:实验在IREP(单端口接入手术系统)上进行验证,结果显示即使器官发生变形,也可以通过实施连续点漂移注册,使用力控探测数据对手术计划进行变形配准。