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Endoscopic orientation by multimodal data fusion
Author(s): Silvio Pulwer; Richard Fiebelkorn; Christoph Zesch; Patrick Steglich; Claus Villringer; Franccesco Villasmunta; Egbert Gedat; Jan Handrich; Sigurd Schrader; Ralf Vandenhouten
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Paper Abstract

To improve the feasibility of endoscopic inspection processes we developed a system that provides online information about position, orientation and viewing direction of endoscopes, to support the analysis of endoscopic images and to ease the operational handling of the equipment. The setup is based on an industrial endoscope consisting of a camera, various MEMS and multimodal data fusion. The software contains algorithms for feature and geometric structure recognition as well as Kalman filters. To track the distal end of the endoscope and to generate 3D point cloud data in real time the optical and photometrical characteristics of the system are registered and the movement of the endoscope is reconstructed by using image processing techniques.

Paper Details

Date Published: 4 March 2019
PDF: 6 pages
Proc. SPIE 10931, MOEMS and Miniaturized Systems XVIII, 1093114 (4 March 2019); doi: 10.1117/12.2508470
Show Author Affiliations
Silvio Pulwer, Technische Hochschule Wildau (Germany)
Richard Fiebelkorn, Technische Hochschule Wildau (Germany)
Christoph Zesch, Technische Hochschule Wildau (Germany)
Univ. degli Studi di Roma "Tor Vergata" (Italy)
Patrick Steglich, Technische Hochschule Wildau (Germany)
IHP (Germany)
Claus Villringer, Technische Hochschule Wildau (Germany)
Franccesco Villasmunta, Technische Hochschule Wildau (Germany)
Univ. degli Studi di Roma "Tor Vergata" (Italy)
Egbert Gedat, Technische Hochschule Wildau (Germany)
Jan Handrich, Technische Hochschule Wildau (Germany)
Sigurd Schrader, Technische Hochschule Wildau (Germany)
Ralf Vandenhouten, Technische Hochschule Wildau (Germany)


Published in SPIE Proceedings Vol. 10931:
MOEMS and Miniaturized Systems XVIII
Wibool Piyawattanametha; Yong-Hwa Park; Hans Zappe, Editor(s)

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