gms | German Medical Science

63. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie (JNS)

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

13. - 16. Juni 2012, Leipzig

Image mosaicing: current state and future perspectives

Meeting Abstract

Suche in Medline nach

  • M. Scholz - Neurochirurgie, Klinikum Duisburg
  • N. Liebig - Neurochirurgie, Klinikum Duisburg
  • W. Konen - Institut für Informatik, Fachhochschule Köln, Gummersbach

Deutsche Gesellschaft für Neurochirurgie. Japanische Gesellschaft für Neurochirurgie. 63. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Japanischen Gesellschaft für Neurochirurgie (JNS). Leipzig, 13.-16.06.2012. Düsseldorf: German Medical Science GMS Publishing House; 2012. DocFR.02.02

DOI: 10.3205/12dgnc178, URN: urn:nbn:de:0183-12dgnc1786

Veröffentlicht: 4. Juni 2012

© 2012 Scholz 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 vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Objective: The impaired visual field in neuroendoscopy hinders orientation and navigation and increases the surgical risk. With the new method of image mosaicing digital image analysis enables online the enlargement of the visual field. In the beginning this study gives an overview of the principles of image mosaicing. Additionally two different algorithms were compaired (algorithm of Kourogi (K), Log Search (LS)) in order to prove the practicability during surgical performance.

Methods: First video material of endoscopic operations was analysed. In a second step of our experiments different images from the ventricular system of anatomic specimen were sampled under different conditions and movements (linear and in circles). Different criteria for the quality of image mosaicing were chosen: subjective impression of a experienced surgeon, measurements for the quality of the created image like DiffAVG (Difference Average) and the time needed for creation of the mosaic (fps = frames per second).

Results: Image Mosaicing can be used in neuroendoscopy. It is easier to work with linear movements than with movements in circles. The Log Search algorithmus has major advantages and is therfor better for surgical interventions.

Conclusions: Image Mosacing has a high potential for endoscopic applications in skull base surgery. A combination with the former developed VN-neuronavigation system can improve image quality of the mosaic.