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CuBe: parametric modeling of 3D foveal shape using cubic Bézier

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Item Type:Article
Title:CuBe: parametric modeling of 3D foveal shape using cubic Bézier
Creators Name:Yadav, S.K. and Motamedi, S. and Oberwahrenbrock, T. and Oertel, F.C. and Polthier, K. and Paul, F. and Kadas, E.M. and Brandt, A.U.
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.
Source:Biomedical Optics Express
Publisher:Optical Society of America
Page Range:4181-4199
Date:1 September 2017
Additional Information:Copyright © 2017 Optical Society of America
Official Publication:https://doi.org/10.1364/BOE.8.004181
External Fulltext:View full text on PubMed Central
PubMed:View item in PubMed

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