Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions

Lena Maier-Hein; Conor J. Walsh; Alexander Seitel; Nevan C. Hanumara; Jo-Anne Shepard; A. M. Franz; F. Pianka; Sascha A. Müller; Bruno Schmied; Alexander H. Slocum; Rajiv Gupta; Hans-Peter Meinzer

doi:10.1117/12.811334

13 March 2009 Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions

Lena Maier-Hein, Conor J. Walsh, Alexander Seitel, Nevan C. Hanumara, Jo-Anne Shepard, A. M. Franz, F. Pianka, Sascha A. Müller, Bruno Schmied, Alexander H. Slocum, Rajiv Gupta, Hans-Peter Meinzer

Author Affiliations +

Proceedings Volume 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling; 72610Y (2009) https://doi.org/10.1117/12.811334
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

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Lena Maier-Hein, Conor J. Walsh, Alexander Seitel, Nevan C. Hanumara, Jo-Anne Shepard, A. M. Franz, F. Pianka, Sascha A. Müller, Bruno Schmied, Alexander H. Slocum, Rajiv Gupta, and Hans-Peter Meinzer "Human vs. robot operator error in a needle-based navigation system for percutaneous liver interventions", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610Y (13 March 2009); https://doi.org/10.1117/12.811334

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