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Proceedings Paper

Software-assisted live visualization system for subjacent blood vessels in endonasal endoscopic approaches
Author(s): B. Lempe; Ch. Taudt; R. Maschke; J. Gruening; M. Ernstberger; F. Basan; T. Baselt; R. Grunert; P. Hartmann
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Paper Abstract

Minimal invasive surgery methods have received growing attention in recent years. In vital important areas, it is crucial for the surgeon to have a precise knowledge of the tissue structure. Especially the visualization of arteries is desirable, as the destruction of the same can be lethal to the patient. In order to meet this requirement, the study presents a novel assistance system for endoscopic surgery. While state-of-the art systems rely on pre-operational data like computer-tomographic maps and require the use of radiation, the goal of the presented approach is to provide the clarification of subjacent blood vessels on live images of the endoscope camera system. Based on the transmission and reflection spectra of various human tissues, a prototype system with a NIR illumination unit working at 808 nm was established. Several image filtering, processing and enhancement techniques have been investigated and evaluated on the raw pictures in order to obtain high quality results. The most important were increasing contrast and thresholding by difference of Gaussian method. Based on that, it is possible to rectify a fragmented artery pattern and extract geometrical information about the structure in terms of position and orientation. By superposing the original image and the extracted segment, the surgeon is assisted with valuable live pictures of the region of interest. The whole system has been tested on a laboratory scale. An outlook on the integration of such a system in a clinical environment and obvious benefits are discussed.

Paper Details

Date Published: 25 February 2013
PDF: 10 pages
Proc. SPIE 8591, Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics, 85910M (25 February 2013); doi: 10.1117/12.2001633
Show Author Affiliations
B. Lempe, West Saxon Univ. of Applied Sciences (Germany)
Ch. Taudt, West Saxon Univ. of Applied Sciences (Germany)
R. Maschke, West Saxon Univ. of Applied Sciences (Germany)
J. Gruening, West Saxon Univ. of Applied Sciences (Germany)
M. Ernstberger, West Saxon Univ. of Applied Sciences (Germany)
F. Basan, West Saxon Univ. of Applied Sciences (Germany)
T. Baselt, West Saxon Univ. of Applied Sciences (Germany)
R. Grunert, Fraunhofer Institute for Machine Tools and Forming Technology IWU (Germany)
P. Hartmann, West Saxon Univ. of Applied Sciences (Germany)


Published in SPIE Proceedings Vol. 8591:
Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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