ArticleQuantitative imaging in medicine and surgery2021
Automatic 3D adaptive vessel segmentation based on linear relationship between intensity and complex-decorrelation in optical coherence tomography angiography.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 37 citations in OpenAlex.
- Local Versus Global Binarization Techniques After Frangi Filtering for Optical Coherence Tomography Angiography Based Retinal Vessel Density Assessment in Diabetic Retinopathy.Diagnostics (Basel, Switzerland) · 2026Article
- DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation.Scientific data · 2025Article
- Dual acquisition scheme-based optical coherence tomography 3D angiography.Journal of biomedical optics · 2025Article
- Phase-restoring subpixel image registration: enhancing motion detection performance in Fourier-domain optical coherence tomography.Journal of physics D: Applied physics · 2025Article
- Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.Frontiers in medicine · 2025Article
- Diameter-dependent classification of dermal vasculature using optical coherence tomography angiography.Quantitative imaging in medicine and surgery · 2024Article
- Dimension-based quantification of aging-associated cerebral microvasculature determined by optical coherence tomography and two-photon microscopy.Journal of biophotonics · 2024Article
- High-accuracy noninvasive continuous glucose monitoring using OCT angiography-purified blood scattering signals in human skin.Biomedical optics express · 2024Article
- Acute and continuous exposure of airborne fine particulate matter (PMParticle and fibre toxicology · 2023Article
- Cutaneous Hypervascularization Treatment Using Photo-Mediated Ultrasound Therapy.JID innovations : skin science from molecules to population health · 2023Article
- Feasibility of deep learning-based polarization-sensitive optical coherence tomography angiography for imaging cutaneous microvasculature.Biomedical optics express · 2023Article
- Functional OCT angiography reveals early retinal neurovascular dysfunction in diabetes with capillary resolution.Biomedical optics express · 2023Article
- Endoscopic optical coherence tomography angiography using inverse SNR-amplitude decorrelation features and electrothermal micro-electro-mechanical system raster scan.Quantitative imaging in medicine and surgery · 2022Article
- Longitudinal in-vivo quantification of tumour microvascular heterogeneity by optical coherence angiography in pre-clinical radiation therapy.Scientific reports · 2022Article
- Rapid and automatic assessment of early gestational age using computer vision and biometric measurements based on ultrasound video.Quantitative imaging in medicine and surgery · 2022Article
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
- Noninvasive OCT angiography-based blood attenuation measurements correlate with blood glucose level in the mouse retina.Biomedical optics express · 2021Article
- Advances in swept-source optical coherence tomography and optical coherence tomography angiography.Advances in ophthalmology practice and researchReview
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7 authors at 3 institutions in 1 country.
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Abstract
backgroundVascular quantitative metrics have been widely used in the preclinical studies and clinical applications (e.g., the diagnosis and treatment of port wine stain, PWS), which require accurate vessel segmentation. An automatic 3D adaptive vessel segmentation is in need for a reproducible and objective quantification of the optical coherence tomography angiography (OCTA) image.
methodsHuman skin imaging was performed with a lab-built optical coherence tomography (OCT) system. Rather than separately applying the conventional 2-step (intensity and binarization) thresholding in the decorrelation-contrast OCTA, we proposed a 3D adaptive threshold using the linear relationship between the local intensity and complex-decorrelation which was termed as inverse SNR-decorrelation (ID) threshold. Furthermore, the ID threshold was automatically determined by defining a binary image similarity (BISIM) index as the feedback and searching the ID threshold with the minimal BISIM value. The proposed ID-BISIM threshold was applied to the acquired OCTA skin images for further vessel quantification.
resultsThe proposed ID-BISIM threshold enabled a 3D adaptive binarization and presented superior sensitivity and specificity in vessel segmentation over conventional 2-step thresholding method in the decorrelation-contrast OCTA and a 37-65% improvement of the Youden's index in human skin experiments. The 3D binarization enabled a depth-resolved vessel skeleton and enhanced the differentiation of the overlapping vessels in the depth direction. Using ID-BISIM, the quantitative OCTA image presented a significant increase of vessel diameter index (P=0.0015) and vessel area density (VAD) (P=0.0485) as well as a significant decrease of vessel complexity index (VCI) (P=0.0094) in PWS lesion skin compared with normal skin.
conclusionsThe proposed ID-BISIM method enables an automatic 3D adaptive vessel segmentation with enhanced performance in quantitative OCTA. The vascular quantitative metrics would be a useful tool for improving the diagnosis and the treatment of PWS.
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