Increasing accuracy in image-guided robotic surgery through tip tracking and model-based flexion correction

Robot assistance can enhance minimally invasive image-guided surgery, but flexion of the thin surgical instrument shaft impairs accurate control by creating errors in the kinematic model. Two controller enhancements that can mitigate these errors are improved kinematic models that account for flexin...

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Bibliographic Details
Main Authors: Beasley, Ryan A. (Author), Howe, Robert D. (Contributor)
Other Authors: Harvard University- (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-03-05T19:04:43Z.
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Online Access:Get fulltext
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100 1 0 |a Beasley, Ryan A.  |e author 
100 1 0 |a Harvard University-  |e contributor 
100 1 0 |a Howe, Robert D.  |e contributor 
100 1 0 |a Howe, Robert D.  |e contributor 
700 1 0 |a Howe, Robert D.  |e author 
245 0 0 |a Increasing accuracy in image-guided robotic surgery through tip tracking and model-based flexion correction 
260 |b Institute of Electrical and Electronics Engineers,   |c 2010-03-05T19:04:43Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/52354 
520 |a Robot assistance can enhance minimally invasive image-guided surgery, but flexion of the thin surgical instrument shaft impairs accurate control by creating errors in the kinematic model. Two controller enhancements that can mitigate these errors are improved kinematic models that account for flexing and direct measurement of the instrument tip's position. This paper presents an experiment quantifying the benefits of these enhancements in an effort to inform development of an image-guided robot control system accurate in the presence of quasi-static instrument flexion. The study measured a controller's ability to guide a flexing instrument along user-commanded motions while preventing incursions into a forbidden region virtual fixture. Compared with the controller using neither enhancement, improved kinematics and reduced maximum incursion depth into the forbidden region by 28%, tip tracking by 67%, and both enhancements together by 83%. 
520 |a National Science Foundation (Grant EEC- 9731748) 
546 |a en_US 
690 |a surgery 
690 |a quasi-static 
690 |a modeling 
690 |a flexible structures 
655 7 |a Article 
773 |t IEEE Transactions on Robotics