ArticleBiomedical optics express2017
CuBe: parametric modeling of 3D foveal shape using cubic Bézier.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- An NR2F1-dependent retinoic acid network controls retinal specialization in mice and reveals foveal hypoplasia in patients with BBSOAS.bioRxiv : the preprint server for biology · 2026Article
- A future of AI-driven personalized care for people with multiple sclerosis.Frontiers in immunology · 2024Article
- Delimiting MOGAD as a disease entity using translational imaging.Frontiers in neurology · 2023Review
- Structure-function correlates of vision loss in neuromyelitis optica spectrum disorders.Scientific reports · 2022Article
- Central Macular Topographic and Volumetric Measures: New Biomarkers for Detection of Glaucoma.Translational vision science & technology · 2022Article
- Artificial intelligence extension of the OSCAR-IB criteria.Annals of clinical and translational neurology · 2021Review
- Foveal Pit Morphology Characterization: A Quantitative Analysis of the Key Methodological Steps.Entropy (Basel, Switzerland) · 2021Article
- Altered fovea in AQP4-IgG-seropositive neuromyelitis optica spectrum disorders.Neurology(R) neuroimmunology & neuroinflammation · 2020Observational
- Visualizing the Central Nervous System: Imaging Tools for Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders.Frontiers in neurology · 2020Review
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8 authors.
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Abstract
Optical coherence tomography (OCT) allows three-dimensional (3D) imaging of the retina, and is commonly used for assessing pathological changes of fovea and macula in many diseases. Many neuroinflammatory conditions are known to cause modifications to the fovea shape. In this paper, we propose a method for parametric modeling of the foveal shape. Our method exploits invariant features of the macula from OCT data and applies a cubic Bézier polynomial along with a least square optimization to produce a best fit parametric model of the fovea. Additionally, we provide several parameters of the foveal shape based on the proposed 3D parametric modeling. Our quantitative and visual results show that the proposed model is not only able to reconstruct important features from the foveal shape, but also produces less error compared to the state-of-the-art methods. Finally, we apply the model in a comparison of healthy control eyes and eyes from patients with neuroinflammatory central nervous system disorders and optic neuritis, and show that several derived model parameters show significant differences between the two groups.
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