Design and development of systems and methods for interventional surgical robot

Medical robotics, Intelligent robotic system

Sankaran, Naveen Kumar

关键词: Medical robotics, Intelligent robotic system;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/107843/SANKARAN-DISSERTATION-2020.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

Interventional procedures are used for diagnosis and/or treatment that involves entry into the body through incision or puncture. Endovascular procedure using guidewire/catheter and needle biopsy procedures are two common surgeries that are performed interventionally using image guidance. Inadequate visual and force feedback, while navigating surgical tools during endovascular (guidewire/catheter) procedures, elevates the risk of surgical error. Further, long-term exposure to x-ray and radiation is a potential occupational hazard for health care providers. Current endovascular robotic systems have helped in reducing the exposure of radiation while improving the precision with which the devices can be placed inside the body. However, the current systems do not provide accurate force feedback or utilize a surgeon’s intuitive surgical skills during manipulation from the master console. Needle biopsy procedures are most frequently performed in hospitals for fluid extractions, biopsies, diagnosis, therapies, and surgeries. Researchers have attempted to model needle insertion into soft tissue using mathematical modeling, yet, wide variability in human anatomy and complexity of access have not been implemented.The goal of this dissertation is to improve two interventional surgical procedures. (i) Endovascular robotic procedures: a novel endovascular robotic system with teleoperation control is designed and developed to addresses two issue; overcome the barrier of transferring surgical skills on a robotic console and; overcome lack of realistic force estimation and feedback mechanism in the robot surgical systems with passive surgical tools, (ii) Needle biopsy procedures: research work focuses on an intelligent robotic system to assist with breast biopsy procedures using; a new ultrasound-guided in-situ needle biopsy robotic medical assistance system, and; a robotic system that uses deep learning techniques to provide needle-tissue interaction force parameter for situation awareness during the procedure.