gms | German Medical Science

78. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e. V.

16.05. - 20.05.2007, München

A fully automated registration for 3D-Navigation

Meeting Abstract

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  • corresponding author Georgi Diakov - University Clinic of Oto-, Rhino-, Laryngology, Innsbruck Medical University, Innsbruck, Austria
  • author Wolfgang Freysinger - University Clinic of Oto-, Rhino-, Laryngology, Innsbruck Medical University, Innsbruck, Austria

German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. 78th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. Munich, 16.-20.05.2007. Düsseldorf, Köln: German Medical Science; 2007. Doc07hno110

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/hno2007/07hno110.shtml

Veröffentlicht: 8. August 2007

© 2007 Diakov 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

Text

Introduction: Intraoperative 3D-navigation [1] is accompanied by the potential sources of error, arising from the manual registration. Many approaches require the fixation of the patient, which increases the invasiveness of the intervention. We suggest, that the surface of the occipital bone is acquired intraoperatively with A-mode ultrasound and used for registration, where no human interaction is necessary.

Methods: The transducer was positioned at the lambda-fissure of the occipital bone with stepper motors and sub-millimetric accuracy (Fig. 1 [Fig. 1]). The motion was controlled within LabView. The signal was further processed in MatLab, to generate a 3D-surface. A human skull was scanned with the laboratory setup. The acquired surface was registered with the iterative closest point (ICP) algorithm [2] to a segmentation of the pre-operative dataset.

Results: The surface of the lambda-fissure was acquired in a rectangular area of 40 x 50 voxels with the spatial resolution of 1 mm (Fig. 2 [Fig. 2]). It contained detail from the specific relief of the selected anatomic area, which was of advantage for the registration. Some noise was present in the surface, where its inclination prevented the successful receiving of the echo-signal, e.g. at points of sutures on the skull. The preoperative dataset was segmented automatically with the approach described in [3]. The two surfaces were registered with the ITK-implementation of the ICP algorithm. The registration took 7 h on a 2.66 GHz, 256 MB RAM PC, with 47 000 spatial points in the fixed dataset and 2 000 in the moving one. The accuracy of the registration was evaluated with the pointwise distance between corresponding points. The pointwise distance was displayed in a color map (Fig. 3 [Fig. 3]), which allowed the accuracy to be visually evaluated. The colors in the scale correspond to distances of ≤ 0.25 mm; ≤ 0.50 mm; ≤ 0.75 mm; ≤ 1.0 mm and > 1.0 mm, respectively.

Conclusion: The laboratory experiments were a proof-of-concept for the method. It is apt to improve the clinical accuracy of 3D-navigation, and to completely avoid patient fixation. Its speed is to be optimized in the next step of the study, where it will be applied on a cadaver.

Acknowledgement: This study was partially supported by the Jubilee Funds of the Austrian National Bank under project 9318.


References

1.
Gunkel AR, Freysinger W, Thumfart WF. Computerunterstützte 3D-Navigationssysteme: Überblick und Standortbestimmung. HNO. 2000;48:75-90
2.
Besl PJ, Mckay ND. A Method for Registration of 3-D Shapes. IEEE transactions on pattern analysis and machine intelligence. 1992;14(2):239-56.
3.
Diakov GM, Freysinger W. Accuracy evaluation of initialization-free registration for 3D-navigation. Int J CARS. 2007 (accepted for publication).