Title
An intelligent and autonomous endoscopic guidance system for minimally invasive surgery
Abstract
The endoscopic guidance system for minimally invasive surgery presented here autonomously aligns the laparoscopic camera with the end-effectors of the surgeon's instruments. It collects information on the movements of the instruments from former interventions and can therefore predict them for autonomous guidance of the endoscopic camera. Knowledge is extracted by trajectory clustering, maximum likelihood classification and a Markov model to predict states. Alternative movements in an ongoing intervention are modeled. A first prototype of a robotic platform for minimally invasive surgery is described, which has two instrument arms, an autonomous robotic camera assistant and two haptic devices to control the instrument arms. The approach of long-term prediction and optimal camera positioning was tested in a phantom experiment with a hit rate of over 89% for predicting the movement of the end-effectors. Including this prediction for computing the camera position, leads to 29.2% less movements and to an improved visibility of the instruments.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5980216
Robotics and Automation
Keywords
Field
DocType
Markov processes,end effectors,haptic interfaces,image classification,maximum likelihood estimation,medical computing,medical robotics,pattern clustering,robot vision,surgery,Markov model,autonomous endoscopic guidance system,autonomous robotic camera assistant,end effectors,endoscopic camera,endoscopic guidance system,haptic devices,invasive surgery,knowledge extraction,laparoscopic camera,maximum likelihood classification,optimal camera positioning,trajectory clustering
Hit rate,Control engineering,Guidance system,Artificial intelligence,Contextual image classification,Surgery,Haptic technology,Trajectory,Computer vision,Visibility,Robot kinematics,Robot end effector,Engineering
Conference
ISSN
ISBN
Citations 
1050-4729
978-1-61284-386-5
14
PageRank 
References 
Authors
1.00
9
4
Name
Order
Citations
PageRank
Oliver Weede1325.31
Holger Mönnich2275.89
Beat Müller3141.00
Heinz Wörn4491106.92