3D Segmentation and Visualization of Skin Vasculature Using Line-Field Confocal Optical Coherence Tomography
Open accessAbstract
This study explores the advanced imaging of skin vasculature using Line-Field Confocal Optical Coherence Tomography (LC-OCT), which offers high-resolution, three-dimensional (3D) visualization of vascular structures, especially within skin tumors. The research aims to improve the understanding of tumor angiogenesis and the complex vascular morphology associated with malignancies. The methodology involves converting original image stacks into negative images, manually tracing vessels using the Simple Neurite Tracer (SNT) plugin, and creating smoothed binary masks to reconstruct 3D models. The study’s results highlight the ability to visualize serpiginous, corkscrew-like, and irregular vessels across various skin cancers, including melanoma, squamous cell carcinoma, and basal cell carcinoma. These visualizations provide insights into vessel morphology, spatial arrangements, and blood flow patterns, which are crucial for assessing tumor growth and potential therapeutic responses. The findings indicate that 3D reconstructions from LC-OCT can uncover vascular details previously undetectable by two-dimensional imaging techniques, making it a valuable tool in dermatology for both clinical diagnostics and research. This method allows for better monitoring of skin cancer treatment and understanding of the role of vascular polymorphism in tumor development.
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Applying tomography and AI to reconstruct 3D epidermal cross-sections to indicate a lesion or an anomalous vascularization is possible.
“the possibility of applying tomography and AI to reconstruct 3D epidermal cross-sections to indicate a lesion [54,55,56] or an anomalous vascularization [57,58].”
From Artificial Intelligence in the Histopathological Assessment of Non-Neoplastic Skin Disorders: A Narrative Review with Future Perspectives (2025) · cites this paper as [57]
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References 46 · Cited by 8
- Authors
- Mayer, O., Wirsching, H., Schlingmann, S., Welzel, J., & Schuh, S.
- Affiliations
- University Hospital Augsburg (DE)
- Corresponding author
- Mayer, Oliver
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2024-12-27
- Volume
- 15
- Issue
- 1
- Pages
- 159
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4405945279
- Cited by
- 8
- References
- 46
- Citations by year
- 2026: 5 · 2025: 3
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Augsburg
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
- Physical Sciences › Engineering › Biomedical Engineering › Photoacoustic and Ultrasonic Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- skin vasculature, line-field confocal optical coherence tomography, 3D vascular reconstruction, tumor angiogenesis, skin cancer, melanoma, squamous cell carcinoma, basal cell carcinoma, vascular morphology, blood flow patterns
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