Improving dOCT image quality with short sequences and automated binning Article Swipe
Noah Heldt
,
Cornelia Holzhausen
,
Martin Ahrens
,
Mario Pieper
,
Peter König
,
Gereon Hüttmann
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/boe.572317
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1364/boe.572317
Dynamic optical coherence tomography (dOCT) uses signal fluctuations to contrast different cells and tissues. In this paper, we demonstrate that shortening the time base over which the signal fluctuations are evaluated reduces noise induced by motion while still maintaining a decent image quality. Automatic clustering using the neural-gas algorithm is introduced to optimize the border between the color channels. The performance of the automatic border optimization is demonstrated with 15 different tissue samples by quantitative assessment of motion-induced noise and image quality using the mean squared error (MSE) between images and the image quality parameters peak signal to noise ratio (PSNR) and structural similarity (SSIM).
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/boe.572317
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4413745389Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/boe.572317Digital Object Identifier
- Title
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Improving dOCT image quality with short sequences and automated binningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-27Full publication date if available
- Authors
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Noah Heldt, Cornelia Holzhausen, Martin Ahrens, Mario Pieper, Peter König, Gereon HüttmannList of authors in order
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https://doi.org/10.1364/boe.572317Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1364/boe.572317Direct OA link when available
- Concepts
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Image quality, Computer science, Image processing, Quality (philosophy), Computer vision, Image (mathematics), Artificial intelligence, Optics, Computer graphics (images), Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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