Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions
Name
Maier-Hein-2009-Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions.pdf
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992.02 KB
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Checksum (MD5)
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Author(s)
Maier-Hein, Lena
Walsh, Conor James
Seitel, Alexander
Hanumara, Nevan Clancy
Shepard, Jo-Anne
Franz, A. M.
Pianka, F.
Muller, Sascha A.
Schmied, Bruno
Slocum, Alexander H.
Date Issued
March 2009
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Publisher
Society of Photo-optical Instrumentation Engineers
Citation
Maier-Hein, Lena et al. “Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions.” Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. Lake Buena Vista, FL, USA: SPIE, 2009. 72610Y-12. © 2009 SPIE
Version
Final published version
Abstract
Computed tomography (CT) guided percutaneous punctures of the liver for cancer diagnosis and therapy (e.g. tumor biopsy, radiofrequency ablation) are well-established procedures in clinical routine. One of the main challenges related to these interventions is the accurate placement of the needle within the lesion. Several navigation concepts have been introduced to compensate for organ shift and deformation in real-time, yet, the operator error remains an important factor influencing the overall accuracy of the developed systems. The aim of this study was to investigate whether the operator error and, thus, the overall insertion error of an existing navigation system could be further reduced by replacing the user with the medical robot Robopsy. For this purpose, we performed navigated needle insertions in a static abdominal phantom as well as in a respiratory liver motion simulator and compared the human operator error with the targeting error performed by the robot. According to the results, the Robopsy driven needle insertion system is able to more accurately align the needle and insert it along its axis compared to a human operator. Integration of the robot into the current navigation system could thus improve targeting accuracy in clinical use.
Subjects
robotic surgery
image-guided therapy
abdominal procedures
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://dx.doi.org/10.1117/12.811334
