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Exp Eye Res. 2014 Feb;119:19-26. doi: 10.1016/j.exer.2013.11.008. Epub 2013 Nov 28.

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

Author information

1
Translational Centre for Regenerative Medicine (TRM), University Leipzig, Leipzig, Germany; Interdisciplinary Centre for Bioinformatics, University Leipzig, Leipzig, Germany. Electronic address: pscheibe@trm.uni-leipzig.de.
2
Department of Ophthalmology, Leipzig University Hospital, Leipzig, Germany.
3
Interdisciplinary Centre for Bioinformatics, University Leipzig, Leipzig, Germany; Leipzig Research Centre for Civilisation Diseases (LIFE), University Leipzig, Leipzig, Germany.
4
Paul Flechsig Institute for Brain Research, Department of Pathophysiology of Neuroglia, University Leipzig, Leipzig, Germany.
5
Translational Centre for Regenerative Medicine (TRM), University Leipzig, Leipzig, Germany; Paul Flechsig Institute for Brain Research, Department of Pathophysiology of Neuroglia, University Leipzig, Leipzig, Germany.

Abstract

As revealed by optical coherence tomography (OCT), the shape of the fovea may vary greatly among individuals. However, none of the hitherto available mathematical descriptions comprehensively reproduces all individual characteristics such as foveal depth, slope, naso-temporal asymmetry, and others. Here, a novel mathematical approach is presented to obtain a very accurate model of the complete 3D foveal surface of an individual, by utilizing recent developments in OCT. For this purpose, a new formula was developed serving as a simple but very flexible way to represent a given fovea. An extensive description of the used model parameters, as well as, of the complete method of reconstructing a foveal surface from OCT data, is presented. Noteworthy, the formula analytically provides characteristic foveal parameters and thus allows for extensive quantification. The present approach was verified on 432 OCT scans and has proved to be able to capture the whole range of asymmetric foveal shapes with high accuracy (i.e. a mean fit error of 1.40 μm).

KEYWORDS:

3D reconstruction; fovea shape; mathematical model; optical coherence tomography (OCT)

PMID:
24291205
DOI:
10.1016/j.exer.2013.11.008
[Indexed for MEDLINE]

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