Parametric model for the 3D reconstruction of individual fovea shape from OCT data

Scheibe, Patrick; Lazareva, Anfisa; Braumann, Ulf‐Dietrich; Reichenbach, Andreas; Wiedemann, Peter; Francke, Mike; Rauscher, Franziska G.

doi:10.1016/j.exer.2013.11.008

Cited by 19 publications

(35 citation statements)

References 14 publications

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“…In our study, we used a fitted a mathematical model proposed by Scheibe et al 11 to the images because being able to determine shape at many different locations across the whole macular is important for structure-function mapping. 10 In our previous study, we used the same model to estimate the shape of the GCLþIPL for the purpose of customized structure-function mapping in the macula.…”

Section: Foveal Shape Modelmentioning

confidence: 99%

“…Our experiments extend on these previous works and address the following three primary aims: (1) to determine the level of interindividual differences in foveal shape in young normal observers for the specific parameters that are important for customizing structure-function mapping across the macula, (2) to determine the level of symmetry in foveal shape and whether it is possible to predict the superior foveal parameters from the inferior parameters in young eyes where there is no expected loss to due age or disease, and (3) to explore whether the foveal shape parameters as measured by the model of macula shape described by Scheibe et al 11 vary between older and younger adults. An additional aim of the project was to report the test-retest variability of the foveal shape parameters measured using the Spectralis spectraldomain OCT (SD-OCT; Heidelberg Engineering, Heidelberg, Germany), in order to determine whether multiple measures are required in a clinical setting to provide a reliable estimate of foveal shape.…”

mentioning

confidence: 99%

“…To meet these requirements, we describe the foveal shape using a mathematic method that is automatically derived from OCT bscans. 11 In turn, foveal shape parameters can be extracted from this model and applied to a customized macular mapping approach as described in Turpin et al 10 that is independent of the type of OCT device used.…”

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confidence: 99%

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Individual Differences in Foveal Shape: Feasibility of Individual Maps Between Structure and Function Within the Macular Region

Sepulveda

Turpin

McKendrick

2016

Invest. Ophthalmol. Vis. Sci.

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Citation: Sepulveda JA, Turpin A, McKendrick AM. Individual differences in foveal shape: feasibility of individual maps between structure and function within the macular region. Invest Ophthalmol Vis Sci. 2016;57:4772-4778. DOI:10.1167/ iovs.16-19288 PURPOSE. Recently in glaucoma, different mapping schemes to combine structural and functional information within the macula have been proposed. This paper aims to investigate whether the changes in foveal shape parameters are important in the mapping between structure and function within the macular region.METHODS. Twenty younger adults (aged 24-to 33-years old) and 10 older adults (aged 62-to 76-years old) participated. On each subject, four foveally-centered radial spectral-domain optical coherence tomography (SD-OCT) scans with 458 of separation between each scan were acquired. After scan acquisition, foveal shape was extracted by fitting a previously proposed model that has been used to customize structure-function mapping in the macular region. Three parameters were obtained from the scans and then compared: the central thickness, the maximum thickness, and the radius.RESULTS. There were significant differences in the foveal shape parameters between subjects. There was no main effect of the scan axis for the central thickness; however, there was an interaction between the scan axis and maximum thickness and between the scan axis and radius. With respect to the effect of age, we did not find a main effect for the central thickness, the maximum thickness or the radius, although this parameter approached statistical significance. CONCLUSIONS.In our study, we demonstrated that the foveal shape is different for different subjects, but predictable superiorly and inferiorly within an individual. Our study highlights features important for the development of individually customized structure-function maps for the investigation of glaucomatous damage in the macular region.

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Section: Foveal Shape Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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Individual Differences in Foveal Shape: Feasibility of Individual Maps Between Structure and Function Within the Macular Region

Sepulveda

Turpin

McKendrick

2016

Invest. Ophthalmol. Vis. Sci.

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“…In order to define within each of these scans the central fovea region, we rely on a fovea model introduced in Ref. 50. Following the procedure described there, a model function MðrÞ for the fovea shape was generated from the automatically extracted ILM and RPE boundary data and the position of the foveal center.…”

Section: Definition Of the Foveal Region Within The B-scansmentioning

confidence: 99%

“…Based on these segmentations, we provide an automated determination of the central fovea region. 50,51 Automated measurements of mean choroidal thickness are given for this and two adjacent 1 mm regions, as defined in more detail in Sec. 2.6.…”

Section: Introductionmentioning

confidence: 99%

Automated detection of the choroid boundary within OCT image data using quadratic measure filters

et al. 2017

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Abstract. A novel method for the automated detection of the outer choroid boundary within spectral-domain optical coherence tomography image data, based on an image model within the space of functions of bounded variation and the application of quadratic measure filters, is presented. The same method is used for the segmentation of retinal layer boundaries and proves to be suitable even for data generated without special imaging modes and moderate line averaging. Based on the segmentations, an automated determination of the central fovea region and choroidal thickness measurements for this and two adjacent 1-mm regions are provided. The quality of the method is assessed by comparison with manual delineations performed by five trained graders. The study is based on data from 50 children of the ages 8 to 13 that were obtained in the framework of the LIFE Child study at Leipzig University.

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Application of an OCT data-based mathematical model of the foveal pit in Parkinson disease

et al. 2014

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Spectral-domain Optical coherence tomography (OCT) has shown remarkable utility in the study of retinal disease and has helped to characterize the fovea in Parkinson disease (PD) patients. We developed a detailed mathematical model based on raw OCT data to allow differentiation of foveae of PD patients from healthy controls. Of the various models we tested, a difference of a Gaussian and a polynomial was found to have "the best fit". Decision was based on mathematical evaluation of the fit of the model to the data of 45 control eyes versus 50 PD eyes. We compared the model parameters in the two groups using receiver-operating characteristics (ROC). A single parameter discriminated 70 % of PD eyes from controls, while using seven of the eight parameters of the model allowed 76 % to be discriminated. The future clinical utility of mathematical modeling in study of diffuse neurodegenerative conditions that also affect the fovea is discussed.

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Parametric model for the 3D reconstruction of individual fovea shape from OCT data

Cited by 19 publications

References 14 publications

Individual Differences in Foveal Shape: Feasibility of Individual Maps Between Structure and Function Within the Macular Region

Individual Differences in Foveal Shape: Feasibility of Individual Maps Between Structure and Function Within the Macular Region

Automated detection of the choroid boundary within OCT image data using quadratic measure filters

Application of an OCT data-based mathematical model of the foveal pit in Parkinson disease

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