Liu Guanyun, Wang Yanzhou, Li Gang, Cleary Kevin, Iordachita Iulian
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD.
Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Int Mech Eng Congress Expo. 2022 Oct-Nov;4. doi: 10.1115/IMECE2022-96678. Epub 2023 Feb 8.
This paper presents the evaluation of two detachable MR-Conditional needle driver designs for our 4-degree-of-freedom (DOF) robotic platform for MRI-guided spinal injections. Compared to their predecessor, the new designs open up the possibility of intraoperative needle driver attachment, and in order to evaluate the feasibility of such an approach, force and torque requried during the needle driver attachment process are captured to evaluate which of the two designs are better suited for such purpose. A simulated clinical scenario is also carried out to measure the possible position change of the 4-DOF robot with respect to the patient due to intraoperative tool attachment, thus providing future guidance to the proposed clinical workflow in the framework of body-mounted robotic surgical devices.
本文介绍了针对我们用于MRI引导脊柱注射的4自由度(DOF)机器人平台的两种可拆卸式MR条件针驱动器设计的评估。与它们的前身相比,新设计开启了术中针驱动器附着的可能性,为评估这种方法的可行性,在针驱动器附着过程中捕获所需的力和扭矩,以评估两种设计中哪种更适合此目的。还进行了模拟临床场景,以测量由于术中工具附着导致的4自由度机器人相对于患者可能的位置变化,从而为在身体安装式机器人手术设备框架内提出的临床工作流程提供未来指导。