A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control

• Published in: International journal for computer assisted radiology and surgery 2021-06, Vol.16 (6), p.1003-1014
• Main Authors: Lin, Xiaofeng, Zhou, Shoujun, Wen, Tiexiang, Jiang, Shenghao, Wang, Cheng, Chen, Jingtao
• Format: Article
• Language: English
• Subjects: Accuracy; Actuators; Computer Imaging; Computer Science; Control methods; Control systems; Degrees of freedom; Feedback; Health Informatics; Imaging; Implantation; Insertion; Liver; Medicine; Medicine & Public Health; Motion planning; Optical tracking; Original; Original Article; Path planning; Pattern Recognition and Graphics; Potential fields; Radiation effects; Radiation therapy; Radiology; Robot arms; Robot dynamics; Robotics; Safety; Strategy; Surgeons; Surgery; Tumors; Ultrasonic testing; Vision
• ISSN: 1861-6410; 1861-6429
• DOI: 10.1007/s11548-021-02380-7

Purpose Radioactive seed implantation is an effective invasive treatment method for malignant liver tumors in hepatocellular carcinomas. However, challenges of the manual procedure may degrade the efficacy of the technique, such as the high accuracy requirement and radiation exposure to the surgeons. This paper aims to develop a robotic system and its control methods for assisting surgeons on the treatment. Method We present an interventional robotic system, which consists of a 5 Degree-of-Freedom (DoF) positioning robotic arm (a 3-DoF translational joint and a 2-DoF revolute joint) and a needle actuator used for needle insertion and radioactive seeds implantation. Control strategy is designed for the system to ensure the safety of the motion. In the designed framework, an artificial potential field (APF)-based motion planning and an ultrasound (US) image-based contacting methods are proposed for the control. Result Experiments were performed to evaluate position and orientation accuracy as well as validate the motion planning procedure of the system. The mean and standard deviation of targeting error is 0.69 mm and 0.33 mm, respectively. Needle placement accuracy is 1.10 mm by mean. The feasibility of the control strategy, including path planning and the contacting methods, is demonstrated by simulation and experiments based on an abdominal phantom. Conclusion This paper presents a robotic system with force and US image feedback in assisting surgeons performing brachytherapy on liver tumors. The proposed robotic system is capable of executing an accurate needle insertion task with by optical tracking. The proposed methods improve the safety of the robot’s motion and automate the process of US probe contacting under the feedback of US-image.