Grid-based Exploration of OCT Thickness Data of Intraretinal Layers

Martin Röhlig, Jörg Stüwe, Christoph Schmidt, Ruby Prakasam, Oliver Stachs, Heidrun Schumann

Abstract

Optical coherence tomography (OCT) enables high-resolution 3D imaging of the human retina to understand a variety of retinal and systemic disorders. Commonly, the thickness of segmented intraretinal layers is used to assess the condition of the retina. However, the thickness data are complex and thus, need to be considerably reduced prior to further processing and analysis. This leads to a loss of information and may hinder the discovery of subtle and localized retinal changes, which are important for an early detection of certain diseases. On this account, we propose an enhanced grid-based reduction of OCT thickness data. We adapt established grid types for retinal thickness data and suggest alternative grids that capture more information. We integrate our data reduction approach into a visual analysis tool that supports an automated computation and interactive exploration of different grids. We demonstrate the application of our tool and show how it can be used to support experts in choosing and comparing appropriate grid representations for given OCT thickness data.

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Paper Citation


in Harvard Style

Röhlig M., Stüwe J., Schmidt C., Prakasam R., Stachs O. and Schumann H. (2019). Grid-based Exploration of OCT Thickness Data of Intraretinal Layers.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-354-4, pages 129-140. DOI: 10.5220/0007580001290140


in Bibtex Style

@conference{ivapp19,
author={Martin Röhlig and Jörg Stüwe and Christoph Schmidt and Ruby Prakasam and Oliver Stachs and Heidrun Schumann},
title={Grid-based Exploration of OCT Thickness Data of Intraretinal Layers},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2019},
pages={129-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007580001290140},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Grid-based Exploration of OCT Thickness Data of Intraretinal Layers
SN - 978-989-758-354-4
AU - Röhlig M.
AU - Stüwe J.
AU - Schmidt C.
AU - Prakasam R.
AU - Stachs O.
AU - Schumann H.
PY - 2019
SP - 129
EP - 140
DO - 10.5220/0007580001290140