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Open AccessArticle

Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope

1
Department of Computer Vision and Graphics, Fraunhofer Heinrich-Hertz-Institute, 10587 Berlin, Germany
2
Department of Visual Computing, Humboldt Universität zu Berlin, 10117 Berlin, Germany
3
Department of Otorhinolaryngology, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in: Wisotzky, E.L.; Rosenthal, J.C.; Hilsmann, A.; Eisert, P.; Uecker, F.C. A multispectral 3D-Endoscope for Cholesteatoma Removal. In Proceedings of the 54th DGBMT Annual Conference on Biomedical Engineering-BMT 2020, 29 September–1 October 2020.
These authors contributed equally to this work.
Sensors 2020, 20(18), 5334; https://doi.org/10.3390/s20185334
Received: 10 August 2020 / Revised: 13 September 2020 / Accepted: 14 September 2020 / Published: 17 September 2020
(This article belongs to the Special Issue Color & Spectral Sensors)
We develop a stereo-multispectral endoscopic prototype in which a filter-wheel is used for surgical guidance to remove cholesteatoma tissue in the middle ear. Cholesteatoma is a destructive proliferating tissue. The only treatment for this disease is surgery. Removal is a very demanding task, even for experienced surgeons. It is very difficult to distinguish between bone and cholesteatoma. In addition, it can even reoccur if not all tissue particles of the cholesteatoma are removed, which leads to undesirable follow-up operations. Therefore, we propose an image-based method that combines multispectral tissue classification and 3D reconstruction to identify all parts of the removed tissue and determine their metric dimensions intraoperatively. The designed multispectral filter-wheel 3D-endoscope prototype can switch between narrow-band spectral and broad-band white illumination, which is technically evaluated in terms of optical system properties. Further, it is tested and evaluated on three patients. The wavelengths 400 nm and 420 nm are identified as most suitable for the differentiation task. The stereoscopic image acquisition allows accurate 3D surface reconstruction of the enhanced image information. The first results are promising, as the cholesteatoma can be easily highlighted, correctly identified, and visualized as a true-to-scale 3D model showing the patient-specific anatomy. View Full-Text
Keywords: stereoscopic imaging; multispectral imaging; image-guided surgery; surgical guidance; clinical decision support stereoscopic imaging; multispectral imaging; image-guided surgery; surgical guidance; clinical decision support
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MDPI and ACS Style

Wisotzky, E.L.; Rosenthal, J.-C.; Wege, U.; Hilsmann, A.; Eisert, P.; Uecker, F.C. Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope. Sensors 2020, 20, 5334. https://doi.org/10.3390/s20185334

AMA Style

Wisotzky EL, Rosenthal J-C, Wege U, Hilsmann A, Eisert P, Uecker FC. Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope. Sensors. 2020; 20(18):5334. https://doi.org/10.3390/s20185334

Chicago/Turabian Style

Wisotzky, Eric L.; Rosenthal, Jean-Claude; Wege, Ulla; Hilsmann, Anna; Eisert, Peter; Uecker, Florian C. 2020. "Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope" Sensors 20, no. 18: 5334. https://doi.org/10.3390/s20185334

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