Open Access
12 October 2018 Optic nerve head three-dimensional shape analysis
Sunil Kumar Yadav, Ella Maria Kadas, Seyedamirhosein Motamedi, Konrad Polthier, Frank Haußer, Kay Gawlik, Friedemann Paul, Alexander Brandt
Author Affiliations +
Abstract
We present a method for optic nerve head (ONH) 3-D shape analysis from retinal optical coherence tomography (OCT). The possibility to noninvasively acquire in vivo high-resolution 3-D volumes of the ONH using spectral domain OCT drives the need to develop tools that quantify the shape of this structure and extract information for clinical applications. The presented method automatically generates a 3-D ONH model and then allows the computation of several 3-D parameters describing the ONH. The method starts with a high-resolution OCT volume scan as input. From this scan, the model-defining inner limiting membrane (ILM) as inner surface and the retinal pigment epithelium as outer surface are segmented, and the Bruch’s membrane opening (BMO) as the model origin is detected. Based on the generated ONH model by triangulated 3-D surface reconstruction, different parameters (areas, volumes, annular surface ring, minimum distances) of different ONH regions can then be computed. Additionally, the bending energy (roughness) in the BMO region on the ILM surface and 3-D BMO-MRW surface area are computed. We show that our method is reliable and robust across a large variety of ONH topologies (specific to this structure) and present a first clinical application.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Sunil Kumar Yadav, Ella Maria Kadas, Seyedamirhosein Motamedi, Konrad Polthier, Frank Haußer, Kay Gawlik, Friedemann Paul, and Alexander Brandt "Optic nerve head three-dimensional shape analysis," Journal of Biomedical Optics 23(10), 106004 (12 October 2018). https://doi.org/10.1117/1.JBO.23.10.106004
Received: 5 June 2018; Accepted: 6 August 2018; Published: 12 October 2018
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Shape analysis

Optical coherence tomography

Optic nerve

Head

Image segmentation

3D modeling

Retina

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