TY - JOUR
T1 - Navigating inner space
T2 - 3-D assistance for minimally invasive surgery
AU - Burschka, Darius
AU - Corso, Jason J.
AU - Dewan, Maneesh
AU - Lau, William
AU - Li, Ming
AU - Lin, Henry
AU - Marayong, Panadda
AU - Ramey, Nicholas
AU - Hager, Gregory D.
AU - Hoffman, Brian
AU - Larkin, David
AU - Hasser, Christopher
N1 - Funding Information:
The authors would like to acknowledge Intuitive Surgical, Inc. and especially Rajesh Kumar and Giuseppe Prisco from Intuitive Surgical for their support in this research. This material is based upon work supported by the National Science Foundation under Grant Nos. IIS-0099770 and EEC-9731478.
PY - 2005/7/31
Y1 - 2005/7/31
N2 - Since its inception about three decades ago, modern minimally invasive surgery has made huge advances in both technique and technology. However, the minimally invasive surgeon is still faced with daunting challenges in terms of visualization and hand-eye coordination. At the Center for Computer Integrated Surgical Systems and Technology (CISST) we have been developing a set of techniques for assisting surgeons in navigating and manipulating the three-dimensional space within the human body. In order to develop such systems, a variety of challenging visual tracking, reconstruction and registration problems must be solved. In addition, this information must be tied to methods for assistance that improve surgical accuracy and reliability but allow the surgeon to retain ultimate control of the procedure and do not prolong time in the operating room. In this article, we present two problem areas, eye microsurgery and thoracic minimally invasive surgery, where computational vision can play a role. We then describe methods we have developed to process video images for relevant geometric information, and related control algorithms for providing interactive assistance. Finally, we present results from implemented systems.
AB - Since its inception about three decades ago, modern minimally invasive surgery has made huge advances in both technique and technology. However, the minimally invasive surgeon is still faced with daunting challenges in terms of visualization and hand-eye coordination. At the Center for Computer Integrated Surgical Systems and Technology (CISST) we have been developing a set of techniques for assisting surgeons in navigating and manipulating the three-dimensional space within the human body. In order to develop such systems, a variety of challenging visual tracking, reconstruction and registration problems must be solved. In addition, this information must be tied to methods for assistance that improve surgical accuracy and reliability but allow the surgeon to retain ultimate control of the procedure and do not prolong time in the operating room. In this article, we present two problem areas, eye microsurgery and thoracic minimally invasive surgery, where computational vision can play a role. We then describe methods we have developed to process video images for relevant geometric information, and related control algorithms for providing interactive assistance. Finally, we present results from implemented systems.
KW - 3D reconstruction
KW - Direct-stereo tracking
KW - Minimally invasive surgery
KW - Tool tracking
KW - Virtual fixtures
UR - http://www.scopus.com/inward/record.url?scp=20744450919&partnerID=8YFLogxK
U2 - 10.1016/j.robot.2005.03.013
DO - 10.1016/j.robot.2005.03.013
M3 - Conference article
AN - SCOPUS:20744450919
SN - 0921-8890
VL - 52
SP - 5
EP - 26
JO - Robotics and Autonomous Systems
JF - Robotics and Autonomous Systems
IS - 1
ER -