ArticleBiomedical optics express2018
Fiber pattern removal and image reconstruction method for snapshot mosaic hyperspectral endoscopic images.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 25 citations in OpenAlex.
- Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging.Sensors (Basel, Switzerland) · 2022Article
- Validation of two techniques for intraoperative hyperspectral human tissue determination.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Surgical spectral imaging.Medical image analysis · 2020Review
- Quantitative evaluation of comb-structure correction methods for multispectral fibrescopic imaging.Scientific reports · 2018Article
- Hyperspectral imaging in highly scattering media by the spectral phasor approach using two filters.Biomedical optics express · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Hyperspectral endoscopic imaging has the potential to enhance clinical diagnostics and outcome. Most commercial endoscopes utilize imaging fiber bundles to transmit the collected signal from the patient to the medical operator. These bundles consist of several fiber cores surrounded by a cladding layer creating comb structure-like artifacts, which complicate further analysis, both spatially and spectrally. Here we present an optical fiber pattern removal algorithm which we applied to hyperspectral bronchoscopic images robustly and quantitatively without the need for specific optical or electrical hardware. We validate the performance of the pattern removal by using a novel hyperspectral phasor approach. This algorithm can be generalized to all forms of fiber bundle hyperspectral endoscopy.
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Registered trials
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