用于图像引导经皮介入治疗的车载机器人:机械设计和初步准确性评估。

Niravkumar A Patel, Jiawen Yan, David Levi, Reza Monfaredi, Kevin Cleary, Iulian Iordachita
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引用次数: 10

摘要

本文介绍了一种用于图像引导经皮介入治疗的四自由度并联机构机器人。机器人的设计经过优化,重量轻、紧凑,可以安装在患者身体上。它具有模块化设计,可用于辅助各种图像引导、基于针头的经皮介入治疗,如关节造影、活检和近距离放射治疗种子植入。机器人机构和控制系统的设计和制造具有与成像模态兼容的部件,包括磁共振成像(MRI)和计算机断层扫描(CT)。本文中提出的当前版本的机器人是在MRI引导下为肩关节造影进行优化的;Z形基准框架连接到机器人上,提供与MR扫描仪坐标系的精确且可重复的机器人配准。在这里,我们介绍了机械手的机械设计、机器人运动学、机器人校准程序和初步的台面精度评估。机器人机械手的台面精度评估显示,X轴和Z轴的平均平移误差分别为1.01mm和0.96mm,绕X轴和Z轴的平均旋转误差分别为3.06度和2.07度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Body-Mounted Robot for Image-Guided Percutaneous Interventions: Mechanical Design and Preliminary Accuracy Evaluation.

Body-Mounted Robot for Image-Guided Percutaneous Interventions: Mechanical Design and Preliminary Accuracy Evaluation.

Body-Mounted Robot for Image-Guided Percutaneous Interventions: Mechanical Design and Preliminary Accuracy Evaluation.

Body-Mounted Robot for Image-Guided Percutaneous Interventions: Mechanical Design and Preliminary Accuracy Evaluation.

This paper presents a body-mounted, four degree-of-freedom (4-DOF) parallel mechanism robot for image-guided percutaneous interventions. The design of the robot is optimized to be light weight and compact such that it could be mounted to the patient body. It has a modular design that can be adopted for assisting various image-guided, needle-based percutaneous interventions such as arthrography, biopsy and brachytherapy seed placement. The robot mechanism and the control system are designed and manufactured with components compatible with imaging modalities including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). The current version of the robot presented in this paper is optimized for shoulder arthrography under MRI guidance; a Z-shaped fiducial frame is attached to the robot, providing accurate and repeatable robot registration with the MR scanner coordinate system. Here we present the mechanical design of the manipulator, robot kinematics, robot calibration procedure, and preliminary bench-top accuracy assessment. The bench-top accuracy evaluation of the robotic manipulator shows average translational error of 1.01 mm and 0.96 mm in X and Z axes, respectively, and average rotational error of 3.06 degrees and 2.07 degrees about the X and Z axes, respectively.

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