Grid-based Exploration of OCT Thickness Data of Intraretinal Layers
Grid-based Exploration of OCT Thickness Data of Intraretinal Layers
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DOI：
10.5220/0007580001290140
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
M. Röhlig;J. Stüwe;Christoph Schmidt;R. Prakasam;O. Stachs;H. Schumann
中科院分区：
文献类型：
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作者：
M. Röhlig;J. Stüwe;Christoph Schmidt;R. Prakasam;O. Stachs;H. Schumann
光学相干断层扫描（OCT）能够对人类视网膜进行高分辨率3D成像，以了解各种视网膜和系统性疾病。通常，分割的视网膜内层的厚度用于评估视网膜的状况。然而，厚度数据是复杂的，因此，需要在进一步处理和分析之前大大减少。这导致信息的丢失，并可能阻碍发现细微和局部的视网膜变化，这对于早期发现某些疾病很重要。在这个帐户上，我们提出了一个增强的基于网格的减少OCT厚度数据。我们适应视网膜厚度数据建立网格类型，并建议替代网格，捕捉更多的信息。我们将我们的数据简化方法集成到一个可视化分析工具中，该工具支持不同网格的自动计算和交互式探索。我们演示了我们的工具的应用程序，并展示了它如何可以用来支持专家在选择和比较适当的网格表示给定的OCT厚度数据。
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.