gms | German Medical Science

55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e. V. (DGNC)
1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

25. bis 28.04.2004, Köln

Automated registration for image-guided surgery and intraoperative MRI - A phantom study

Automatische Registrierung für Neuronavigation und intraoperatives MRT – eine Phantom-Studie

Meeting Abstract

  • corresponding author Arya Nabavi - Klinik für Neurochirurgie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel
  • T. Schäfter - Philips Labore, Hamburg
  • R. Buhl - Klinik für Neurochirurgie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel
  • R. Werner - Klinik für Neurochirurgie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel
  • A. Schmittgen - Fraunhofer Institut, Freiburg
  • H. M. Mehdorn - Klinik für Neurochirurgie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel

Deutsche Gesellschaft für Neurochirurgie. Ungarische Gesellschaft für Neurochirurgie. 55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e.V. (DGNC), 1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie. Köln, 25.-28.04.2004. Düsseldorf, Köln: German Medical Science; 2004. DocP 08.86

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/dgnc2004/04dgnc0369.shtml

Veröffentlicht: 23. April 2004

© 2004 Nabavi et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

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Objective

Intraoperative MRI makes updated imaging for surgical navigation possible. A major shortcoming is the necessity to reregister the acquired images to the surgical field. We have designed a system, which uses active markers to achieve this goal without user interaction. In this study we show the feasibility and accuracy of this system.

Methods

An Intera IT 1.5 Tesla System, situated in a surgical suite was used for imaging. The phantom was designed to simulate the location of the head on a movable table. Active markers were attached to the table. These active markers send distinct RF-Impulses, which are unequivocally detected within the imaging volume. The precise location of these markers is read into the navigation system. Thus a Cartesian Coordinate system can be constructed with the active marker information. The navigation system can be used with the newly acquired images without user registration.

Results

The newly acquired images were registered as soon as the navigation system had uploaded the information. There was no user interaction necessary. We have performed accuracy tests with various phantoms, which showed precision of approximately 1-2 mm within the imaging volume according to the image dimensions. When the active markers were located closer to the imaging volume, there was no detectable imprecision.

Conclusions

We have developed and used active markers in combination with a navigation system, to obliviate user interaction for registration. The registration is automated, and occurs during uploading the new images. The surgeon can use the images without delay by ruling out user error, which is the biggest single reason for inaccuracies.