TY - JOUR
T1 - Surgical and interventional robotics - Core concepts, technology, and design
AU - Kazanzides, Peter
AU - Fichtinger, Gabor
AU - Hager, Gregory D.
AU - Okamura, Allison M.
AU - Whitcomb, Louis L.
AU - Taylor, Russell H.
N1 - Funding Information:
The authors gratefully acknowledge the National Science Foundation for supporting our work in this field through the Engineering Research Center for Computer-Integrated Surgical Systems and Technology (CISST ERC), NSF Grant EEC 9731748. Related projects have also been supported by Johns Hopkins University, the National Institutes of Health, the Whitaker Foundation, the Department of Defense, and our CISST ERC industrial affiliates.
Funding Information:
Allison M. Okamura received the B.S. degree from the University of California at Berkeley, in 1994, and the M.S. and Ph.D. degrees from Stanford University in 1996 and 2000, respectively, all in mechanical engineering. She is currently an associate professor of mechanical engineering and the Decker Faculty Scholar at Johns Hopkins University. She is the associate director of the Laboratory for Computational Sensing and Robotics and a thrust leader of the National Science Foundation Engineering Research Center for Computer-Integrated Surgical Systems and Technology. Her awards include the 2005 IEEE Robotics Automation Society Early Academic Career Award, the 2004 National Science Foundation Career Award, the 2004 Johns Hopkins University George E. Owen Teaching Award, and the 2003 Johns Hopkins University Diversity Recognition Award. Her research interests include haptics, teleoperation, medical robotics, virtual environments and simulators, prosthetics, rehabilitation engineering, and engineering education.
PY - 2008/6
Y1 - 2008/6
N2 - This article presents the first of a three-part tutorial on surgical and interventional robotics. The core concept is that a surgical robot couples information to action in the operating room or interventional suite. This leads to several potential benefits, including increased accuracy and the ability to intervene in areas that are not accessible with conventional instrumentation. We defined the categories of surgical CAD/CAM and surgical assistance. The former is intended to accurately execute a defined plan. The latter is focused on providing augmented capabilities to the physician, such as superhuman or auxiliary (additional) eyes and hands. These categories will be the focus of the final two parts of this tutorial. There are numerous challenges in surgical manipulation, sensing, registration, user interfaces, and system design. Many of these challenges result from the requirements for safety, sterility, small size, and adaptation to a relatively unstructured (and changing) environment. Some software toolkits are available to facilitate the design of surgical robotics systems. The design of a surgical robot should include a risk analysis. Established methodologies such as FMEA/FMECA can be used to identify potential hazards. Safety design should consider and eliminate single points of failure whenever possible. Validation of system performance is critical but is complicated by the difficulty of simulating realistic clinical conditions. Surgical robotics is a challenging field, but it is rewarding because the ultimate goal is to improve the health and quality of human life.
AB - This article presents the first of a three-part tutorial on surgical and interventional robotics. The core concept is that a surgical robot couples information to action in the operating room or interventional suite. This leads to several potential benefits, including increased accuracy and the ability to intervene in areas that are not accessible with conventional instrumentation. We defined the categories of surgical CAD/CAM and surgical assistance. The former is intended to accurately execute a defined plan. The latter is focused on providing augmented capabilities to the physician, such as superhuman or auxiliary (additional) eyes and hands. These categories will be the focus of the final two parts of this tutorial. There are numerous challenges in surgical manipulation, sensing, registration, user interfaces, and system design. Many of these challenges result from the requirements for safety, sterility, small size, and adaptation to a relatively unstructured (and changing) environment. Some software toolkits are available to facilitate the design of surgical robotics systems. The design of a surgical robot should include a risk analysis. Established methodologies such as FMEA/FMECA can be used to identify potential hazards. Safety design should consider and eliminate single points of failure whenever possible. Validation of system performance is critical but is complicated by the difficulty of simulating realistic clinical conditions. Surgical robotics is a challenging field, but it is rewarding because the ultimate goal is to improve the health and quality of human life.
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U2 - 10.1109/MRA.2008.926390
DO - 10.1109/MRA.2008.926390
M3 - Article
C2 - 20428333
AN - SCOPUS:46349104335
SN - 1070-9932
VL - 15
SP - 122
EP - 130
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 2
ER -