ArticleJournal of biophotonics2019
Automatic skin lesion area determination of basal cell carcinoma using optical coherence tomography angiography and a skeletonization approach: Preliminary results.
Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Individual cell motion in healthy human skin microvasculature by reflectance confocal video microscopy.Microcirculation (New York, N.Y. : 1994) · 2020Trial
- Impact of image preprocessing on dermatological OCTA vessel segmentation: a DERMA-OCTA study.Journal of biomedical optics · 2025Article
- Optical Coherence Tomography Angiography (OCTA) Captures Early Micro-Vascular Remodeling in Non-Melanoma Skin Cancer During Superficial Radiotherapy: A Proof-of-Concept Study.Diagnostics (Basel, Switzerland) · 2025Article
- DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation.Scientific data · 2025Article
- Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics.Research (Washington, D.C.) · 2025Article
- Optical coherence tomography angiography enables visualization of microvascular patterns in chronic venous insufficiency.iScience · 2024Article
- Beyond nothingness in the formation and functional relevance of voids in polymer films.Nature communications · 2024Article
- Quantitative assessment of the oral microvasculature using optical coherence tomography angiography.Frontiers in bioengineering and biotechnology · 2024Article
- Tail Artifact Removal via Transmittance Effect Subtraction in Optical Coherence Tail Artifact Images.Sensors (Basel, Switzerland) · 2023Article
- Pilot study of optical coherence tomography angiography-derived microvascular metrics in hands and feet of healthy and diabetic people.Scientific reports · 2023Article
- Comparative study of OCTA algorithms with a high-sensitivity multi-contrast Jones matrix OCT system for human skin imaging.Biomedical optics express · 2022Article
- Optical coherence tomography.Nature reviews. Methods primers · 2022Article
- Techniques for Imaging Vascular Supply of Peripheral Nerves.Journal of brachial plexus and peripheral nerve injury · 2021Review
- OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images.PloS one · 2021Article
- Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.Journal of biophotonics · 2021Article
- What scans we will read: imaging instrumentation trends in clinical oncology.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020Review
- Mean-Subtraction Method for De-shadowing of Tail Artifacts in Cerebral OCTA Images: A Proof of Concept.Materials (Basel, Switzerland) · 2020Article
- Automatic skin lesion area determination of basal cell carcinoma using optical coherence tomography angiography and a skeletonization approach: Preliminary results.Journal of biophotonics · 2019Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
Abstract
Cutaneous blood flow plays a key role in numerous physiological and pathological processes and has significant potential to be used as a biomarker to diagnose skin diseases such as basal cell carcinoma (BCC). The determination of the lesion area and vascular parameters within it, such as vessel density, is essential for diagnosis, surgical treatment and follow-up procedures. Here, an automatic skin lesion area determination algorithm based on optical coherence tomography angiography (OCTA) images is presented for the first time. The blood vessels are segmented within the OCTA images and then skeletonized. Subsequently, the skeleton is searched over the volume and numerous quantitative vascular parameters are calculated. The vascular density is then used to segment the lesion area. The algorithm is tested on both nodular and superficial BCC, and comparing with dermatological and histological results, the proposed method provides an accurate, non-invasive, quantitative and automatic tool for BCC lesion area determination.
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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 Socratic graph.