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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.

Open Access
Online
ISSN
2364-5504
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Vascular pattern detection and recognition in endoscopic imaging of the vocal folds

Axel Boese / Alfredo Illanes / Sathish Balakrishnan / Nikolaos Davaris
  • Department of Otorhinolaryngology, Head & Neck Surgery, University Hospitals Magdeburg, Otto-von-Guericke-University, Magdeburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Christoph Arens
  • Department of Otorhinolaryngology, Head & Neck Surgery, University Hospitals Magdeburg, Otto-von-Guericke-University, Magdeburg, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Michael Friebe
Published Online: 2018-09-22 | DOI: https://doi.org/10.1515/cdbme-2018-0019

Abstract

At present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspection is mandatory prior to surgery. Nowadays a detailed endoscopic work-up of laryngeal lesions can be performed by contact endoscopy in combination with structure enhancement like Narrow Band Imaging. High resolution and magnification of up to 150 times provide detailed visualization of vascular structures and pathological changes of the tissue surface. In these procedures it is difficult however to localize the evaluated areas on large scale scenes like the microscopic view used for surgery. To provide a fast and easy image matching an automated vessel pattern recognition and allocation is presented. Endoscopic images depicting representative vessel structures of the vocal folds are selected out of contact endoscopy video scenes. These images are pre-processed for background homogenization. A Frangi Vessel Segmentation filter and morphological operations are used to extract the vessel structure and match it to the microscopic image. Using this method 4 detailed contact endoscopy images could be allocated in different scenes of the microscope video. This method can be used to simplify treatment planning and to prepare image data for documentation.

Keywords: Endoscopy; Vocal folds; Larynx; Surgery; ENT; Image analysis; Pattern recognition; Pattern allocation

About the article

Published Online: 2018-09-22

Published in Print: 2018-09-01


Citation Information: Current Directions in Biomedical Engineering, Volume 4, Issue 1, Pages 75–78, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2018-0019.

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