Visual analysis of retinal changes with optical coherence tomography
Visual analysis of retinal changes with optical coherence tomography
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DOI：
10.1007/s00371-018-1486-x
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发表时间：
2018-02
期刊：
影响因子：
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通讯作者：
M. Röhlig;Christoph Schmidt;R. Prakasam;Paul Rosenthal;H. Schumann;O. Stachs
中科院分区：
文献类型：
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作者：
M. Röhlig;Christoph Schmidt;R. Prakasam;Paul Rosenthal;H. Schumann;O. Stachs
光学相干断层扫描（OCT）能够对人类视网膜进行无创高分辨率3D成像，因此在检测各种眼部疾病方面发挥着重要作用。尽管OCT具有诊断价值，但管理和分析所得数据仍具有挑战性。我们应用两种视觉分析策略来支持视网膜评估。首先，我们提供了一个接口，用于将来自不同来源的数据统一和结构化到一个共同的基础上。将该基础与医疗记录融合并用分析得出的信息对其进行补充，有助于进行彻底的调查。其次，我们提出了一个量身定制的可视化分析工具，用于呈现，强调，选择和比较属性数据的不同方面。这可以自由探索，将数据减少到相关子集，并关注细节。通过应用这两种策略，我们有效地加强了管理和分析视网膜OCT数据，以辅助医疗诊断。领域专家成功应用我们的解决方案研究了1型糖尿病患者的早期视网膜变化。
Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina, and thus plays a fundamental role in detecting a wide range of ocular diseases. Despite the diagnostic value of OCT, managing and analyzing resulting data is challenging. We apply two visual analysis strategies for supporting retinal assessment in practice. First, we provide an interface for unifying and structuring data from different sources into a common basis. Fusing that basis with medical records and augmenting it with analytically derived information facilitates thorough investigations. Second, we present a tailored visual analysis tool for presenting, emphasizing, selecting, and comparing different aspects of the attributed data. This enables free exploration, reducing the data to relevant subsets, and focusing on details. By applying both strategies, we effectively enhance the management and the analysis of retinal OCT data for assisting medical diagnoses. Domain experts applied our solution successfully to study early retinal changes in patients suffering from type 1 diabetes mellitus.