ArticleSensors (Basel, Switzerland)2020
Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery.Journal of biomedical optics · 2026Review
- Review
- Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods.Journal of telemedicine and telecare · 2025Article
- Background Light Suppression for Multispectral Imaging in Surgical Settings.Sensors (Basel, Switzerland) · 2024Article
- Label-Free Optical Technologies for Middle-Ear Diseases.Bioengineering (Basel, Switzerland) · 2024Review
- Combined fluorescence lifetime and surface topographical imaging of biological tissue.Biomedical optics express · 2024Article
- Imaging guidance for cholesteatoma surgery using tissue autofluorescence.Journal of biomedical optics · 2023Article
- Article
- Article
- Intraoperative colon perfusion assessment using multispectral imaging.Biomedical optics express · 2021Article
- Comparison of different spectral cameras for image-guided organ transplantation.Journal of biomedical optics · 2021Article
- Validation of two techniques for intraoperative hyperspectral human tissue determination.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.