论文标题
视觉分析以早期检测视网膜疾病
Visual Analytics for Early Detection of Retinal Diseases
论文作者
论文摘要
光学相干断层扫描（OCT）的进步使人类视网膜具有高空间分辨率的非侵入性成像。 OCT检查现在是诊所中的标准程序，也是眼科研究不可或缺的一部分。对OCT的解释有助于眼科医生以前无法以某种方式了解各种视网膜和全身性疾病对视网膜结构的影响。然而，在视网膜疾病的早期阶段，对视网膜中的小型和局部下结构变化的识别和分析仍然是一个挑战。我们介绍了新型视觉分析方法的概述，用于互动探索单个和多名患者的早期视网膜变化，将变化与规范数据的比较以及与诊断相关信息的自动定量和测量。我们与领先的OCT设备制造商的眼科研究人员和行业专家密切合作开发了这些方法。结果，它们不仅显着减少了OCT数据分析所需的时间和精力，尤其是在横断面研究的背景下，而且还导致了生物医学期刊上发表的一些新发现。
Advances in optical coherence tomography (OCT) have enabled noninvasive imaging of substructures of the human retina with high spatial resolution. OCT examinations are now a standard procedure in clinics and an integral part of ophthalmic research. The interpretation of the OCT helps ophthalmologists understand the impact of various retinal and systemic diseases on the structure of the retina in a way not previously possible. In the early stages of retinal diseases, however, the identification and analysis of small and localized substructural changes in the retina remains a challenge. We present an overview of novel visual analytics approaches for the interactive exploration of early retinal changes in single and multiple patients, the comparison of the changes with normative data, and automated quantification and measurement of diagnosis-relevant information. We developed these approaches in close collaboration with ophthalmology researchers and industry experts from a leading OCT device manufacturer. As a result, they not only significantly reduced the time and effort required for OCT data analysis, especially in the context of cross-sectional studies, but have also led to several new discoveries published in biomedical journals.
