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Proceedings Paper

Image-based tracking of the suturing needle during laparoscopic interventions
Author(s): S. Speidel; A. Kroehnert; S. Bodenstedt; H. Kenngott; B. Müller-Stich; R. Dillmann
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Paper Abstract

One of the most complex and difficult tasks for surgeons during minimally invasive interventions is suturing. A prerequisite to assist the suturing process is the tracking of the needle. The endoscopic images provide a rich source of information which can be used for needle tracking. In this paper, we present an image-based method for markerless needle tracking. The method uses a color-based and geometry-based segmentation to detect the needle. Once an initial needle detection is obtained, a region of interest enclosing the extracted needle contour is passed on to a reduced segmentation. It is evaluated with in vivo images from da Vinci interventions.

Paper Details

Date Published: 18 March 2015
PDF: 6 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94150B (18 March 2015); doi: 10.1117/12.2081920
Show Author Affiliations
S. Speidel, Karlsruher Institut für Technologie (Germany)
A. Kroehnert, Karlsruher Institut für Technologie (Germany)
S. Bodenstedt, Karlsruher Institut für Technologie (Germany)
H. Kenngott, Ruprecht-Karls-Univ. Heidelberg (Germany)
B. Müller-Stich, Univ. of Heidelberg (Germany)
R. Dillmann, Karlsruher Institut für Technologie (Germany)

Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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