Towards Autonomous Robotic Biopsy—Design, Modeling and Control of a Robot for Needle Insertion of a Commercial Full Core Biopsy Instrument

Author:

Sajadi Seyed MohammadReza,Karbasi Seyed Mojtaba,Brun Henrik,Tørresen Jim,Elle Ole Jacob,Mathiassen Kim

Abstract

This paper presents the design, control, and experimental evaluation of a novel fully automated robotic-assisted system for the positioning and insertion of a commercial full core biopsy instrument under guidance by ultrasound imaging. The robotic system consisted of a novel 4 Degree of freedom (DOF) add-on robot for the positioning and insertion of the biopsy instrument that is attached to a UR5-based teleoperation system with 6 DOF. The robotic system incorporates the advantages of both freehand and probe-guided biopsy techniques. The proposed robotic system can be used as a slave robot in a teleoperation configuration or as an autonomous or semi-autonomous robot in the future. While the UR5 manipulator was controlled using a teleoperation scheme with force controller, a reinforcement learning based controller using the Deep Deterministic Policy Gradient (DDPG) algorithm was developed for the add-on robotic system. The dexterous workspace analysis of the add-on robotic system demonstrated that the system has a suitable workspace within the US image. Two sets of comprehensive experiments including four experiments were performed to evaluate the robotic system’s performance in terms of the biopsy instrument positioning, and the insertion of the needle inside the ultrasound plane. The experimental results showed the ability of the robotic system for in-plane needle insertion. The overall mean error of all four experiments in the tracking of the needle angle was 0.446°, and the resolution of the needle insertion was 0.002 mm.

Funder

Universitetet i Oslo

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference24 articles.

1. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems;Abadi,2015

2. Percutaneous Liver Biopsy in Clinical Practice;Al Knawy;Liver Int.,2007

3. Evaluation of a Ct-Guided Robotic System for Precise Percutaneous Needle Insertion;Ben-David;J. Vasc. Interventional Radiology,2018

4. Current Trends in Reconfigurable Modular Robots Design;Brunete;Int. J. Adv. Robotic Syst.,2017

5. Comparison of Ct Fluoroscopy-Guided Manual and Ct-Guided Robotic Positioning System for In Vivo Needle Placements in Swine Liver;Cornelis;Cardiovasc Interv. Radiol.,2015

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