Helmholtz Gemeinschaft


Optic nerve head three-dimensional shape analysis

[thumbnail of 17811oa.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Item Type:Article
Title:Optic nerve head three-dimensional shape analysis
Creators Name:Yadav, S.K., Kadas, E.M., Motamedi, S., Polthier, K., Haußer, F., Gawlik, K., Paul, F. and Brandt, A.
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.
Keywords:Optical Coherence Tomography, Shape Analysis, Optic Nerve Head, Mesh Surface, Bending Energy, Volume
Source:Journal of Biomedical Optics
Publisher:International Society for Optics and Photonics (SPIE)
Page Range:106004
Date:October 2018
Official Publication:https://doi.org/10.1117/1.JBO.23.10.106004
PubMed:View item in PubMed

Repository Staff Only: item control page


Downloads per month over past year

Open Access
MDC Library