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Proceedings Paper

Toward image-guided partial nephrectomy with the da Vinci robot: exploring surface acquisition methods for intraoperative re-registration
Author(s): James M. Ferguson; Leon Y. Cai; Alexander Reed; Michael Siebold; Smita De; S. Duke Herrell; Robert J. Webster
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Paper Abstract

Our overarching goal is to facilitate wider adoption of robot-assisted partial nephrectomy through image- guidance, which can enable a surgeon to visualize subsurface features and instrument locations in real time intraoperatively. This is motivated by the observation that while there are compelling lifelong health benefits of partial nephrectomy, radical nephrectomy remains an overused surgical approach for many kidney cancers. Image-guidance may facilitate wider adoption of the procedure because it has the potential to increase surgeons' confidence in efficiently and safely exposing critical structures as well as achieving negative margins with maximal benign tissue sparing, particularly in a minimally invasive setting. To maintain the accuracy of image-guidance during the procedure as the kidney moves, periodic re-registration of medical image data to kidney anatomy is necessary. In this paper, we evaluate three registration approaches for the da Vinci Surgical System that have the potential to enable real-time updates to the display of segmented preoperative images within its console. Specifically, we compare the use of surface ink fiducials triangulated from stereo endoscope images, point clouds obtained without fiducials using a stereoscopic depth mapping algorithm, and points obtained by lightly tracing the da Vinci tool tip over the kidney surface. We compare and contrast the three approaches from both an accuracy and a workflow perspective.

Paper Details

Date Published: 12 March 2018
PDF: 11 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 1057609 (12 March 2018); doi: 10.1117/12.2296464
Show Author Affiliations
James M. Ferguson, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
Leon Y. Cai, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
Alexander Reed, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
Michael Siebold, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
Smita De, Vanderbilt Univ. Medical Ctr. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
S. Duke Herrell, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)
Robert J. Webster, Vanderbilt Univ. (United States)
Vanderbilt Institute for Surgery and Engineering (United States)


Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster III, Editor(s)

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