Share Email Print

Proceedings Paper

Robust and efficient fiducial tracking for augmented reality in HD-laparoscopic video streams
Author(s): M. Mueller; A. Groch; M. Baumhauer; L. Maier-Hein; D. Teber; J. Rassweiler; H.-P. Meinzer; In. Wegner
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Augmented Reality (AR) is a convenient way of porting information from medical images into the surgical field of view and can deliver valuable assistance to the surgeon, especially in laparoscopic procedures. In addition, high definition (HD) laparoscopic video devices are a great improvement over the previously used low resolution equipment. However, in AR applications that rely on real-time detection of fiducials from video streams, the demand for efficient image processing has increased due to the introduction of HD devices. We present an algorithm based on the well-known Conditional Density Propagation (CONDENSATION) algorithm which can satisfy these new demands. By incorporating a prediction around an already existing and robust segmentation algorithm, we can speed up the whole procedure while leaving the robustness of the fiducial segmentation untouched. For evaluation purposes we tested the algorithm on recordings from real interventions, allowing for a meaningful interpretation of the results. Our results show that we can accelerate the segmentation by a factor of 3.5 on average. Moreover, the prediction information can be used to compensate for fiducials that are temporarily occluded or out of scope, providing greater stability.

Paper Details

Date Published: 17 February 2012
PDF: 9 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83161M (17 February 2012); doi: 10.1117/12.911993
Show Author Affiliations
M. Mueller, German Cancer Research Ctr. (Germany)
A. Groch, German Cancer Research Ctr. (Germany)
M. Baumhauer, German Cancer Research Ctr. (Germany)
L. Maier-Hein, German Cancer Research Ctr. (Germany)
D. Teber, Univ. of Heidelberg (Germany)
J. Rassweiler, SLK Kliniken Heilbronn (Germany)
H.-P. Meinzer, German Cancer Research Ctr. (Germany)
In. Wegner, German Cancer Research Ctr. (Germany)

Published in SPIE Proceedings Vol. 8316:
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Kenneth H. Wong, Editor(s)

© SPIE. Terms of Use
Back to Top