gms | German Medical Science

80th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery

German Society of Oto-Rhino-Laryngology, Head and Neck Surgery

20.05. - 24.05.2009, Rostock

Semi automatic segmentation of the orbit by CT data for robot assisted sinus surgery

Meeting Abstract

  • corresponding author Klaus W.G. Eichhorn - University/ENT, Bonn, Germany
  • Kathrin Tingelhoff - University/ENT, Bonn, Germany
  • Ingo Wagner - University/ENT, Bonn, Germany
  • Ralf Westphal - Technical University, Braunschweig, Germany
  • Markus Rilk - Technical University, Braunschweig, Germany
  • Friedrich M. Wahl - Technical University, Braunschweig, Germany
  • Friedrich Bootz - University/ENT, Bonn, Germany

German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. 80th Annual Meeting of the German Society of Oto-Rhino-Laryngology, Head and Neck Surgery. Rostock, 20.-24.05.2009. Düsseldorf: German Medical Science GMS Publishing House; 2009. Doc09hno085

DOI: 10.3205/09hno085, URN: urn:nbn:de:0183-09hno0852

Published: July 22, 2009

© 2009 Eichhorn et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). You are free: to Share – to copy, distribute and transmit the work, provided the original author and source are credited.


Outline

Text

The segmentation of medical images is getting more important in all clinical fields.We use the results for diagnosis, surgical planning or workspace definition of robot-assisted systems. The purpose of this paper is to present a new semiautomatic orbit segmentation technique with minimal user interaction. The results are compared to manual segmentation results of an expert. For the evaluation we compare volume, overlap and segmentation time. The deviation of manual and semiautomatic segmentation is 3.29% of the orbit volume. This error is lower than the inter subject variability of the manual segmentation. The time of segmantation was shorted to 3 to 7 minutes for 54 to 75 minutes or 93%. Therefore we propose to use the new semiautomatic technique for the orbit segmentation instead of using the manual segmentation. In our future work we will reduce the user interaction and the segmentation error. Furthermore we would like to evaluate the capabilities of this technique for the presurgical planning of orbit surgeries.


References

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