一种基于法布里-珀罗干涉测量的磁共振兼容微型单轴力传感器用于经皮置针。

Weijian Shang, Hao Su, Gang Li, Cosme Furlong, Gregory S Fischer
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引用次数: 19

摘要

利用磁共振成像(MRI)的高软组织对比度和实时成像技术,机器人辅助手术正在迅速发展。然而,在mri引导的针式手术中,保持触觉力反馈是至关重要的。本文介绍了一种基于法布里-珀罗干涉(FPI)的MRI兼容光纤传感器系统,该系统已集成到用于3T MRI扫描仪前列腺癌活检和近距离治疗的压电驱动机器人中。光电传感系统的设计被最小化,以适应mri兼容的机器人控制框。设计了一种集成FPI传感器光纤的柔性机构,用于测量针插入力,并进行了有限元分析以优化正确的力-变形关系。将紧凑、低成本的FPI传感系统集成到机器人中,并进行了标定。在0-10牛顿范围内标定的均方根误差(RMS)为0.318牛顿,理论模型已被证明足以用于机器人控制和遥操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fabry-Perot Interferometry Based MRI-Compatible Miniature Uniaxial Force Sensor for Percutaneous Needle Placement.

Robot-assisted surgical procedures, taking advantage of the high soft tissue contrast and real-time imaging of magnetic resonance imaging (MRI), are developing rapidly. However, it is crucial to maintain tactile force feedback in MRI-guided needle-based procedures. This paper presents a Fabry-Perot interference (FPI) based system of an MRI-compatible fiber optic sensor which has been integrated into a piezoelectrically actuated robot for prostate cancer biopsy and brachytherapy in 3T MRI scanner. The opto-electronic sensing system design was minimized to fit inside an MRI-compatible robot controller enclosure. A flexure mechanism was designed that integrates the FPI sensor fiber for measuring needle insertion force, and finite element analysis was performed for optimizing the correct force-deformation relationship. The compact, low-cost FPI sensing system was integrated into the robot and calibration was conducted. The root mean square (RMS) error of the calibration among the range of 0-10 Newton was 0.318 Newton comparing to the theoretical model which has been proven sufficient for robot control and teleoperation.

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