Remeseiro Beatriz, Barreira Noelia, García-Resúa Carlos, Lira Madalena, Giráldez María J, Yebra-Pimentel Eva, Penedo Manuel G
Departamento de Computación, Universidade da Coruña, Campus de Elviña S/N, 15071 A Coruña, Spain.
Servicio de Optometría, Universidade de Santiago de Compostela, Campus Universitario Sur, 15782 Santiago de Compostela, Spain.
Comput Methods Programs Biomed. 2016 Jul;130:186-97. doi: 10.1016/j.cmpb.2016.02.015. Epub 2016 Apr 27.
Dry eye disease is a public health problem, whose multifactorial etiology challenges clinicians and researchers making necessary the collaboration between different experts and centers. The evaluation of the interference patterns observed in the tear film lipid layer is a common clinical test used for dry eye diagnosis. However, it is a time-consuming task with a high degree of intra- as well as inter-observer variability, which makes the use of a computer-based analysis system highly desirable. This work introduces iDEAS (Dry Eye Assessment System), a web-based application to support dry eye diagnosis.
iDEAS provides a framework for eye care experts to collaboratively work using image-based services in a distributed environment. It is composed of three main components: the web client for user interaction, the web application server for request processing, and the service module for image analysis. Specifically, this manuscript presents two automatic services: tear film classification, which classifies an image into one interference pattern; and tear film map, which illustrates the distribution of the patterns over the entire tear film.
iDEAS has been evaluated by specialists from different institutions to test its performance. Both services have been evaluated in terms of a set of performance metrics using the annotations of different experts. Note that the processing time of both services has been also measured for efficiency purposes.
iDEAS is a web-based application which provides a fast, reliable environment for dry eye assessment. The system allows practitioners to share images, clinical information and automatic assessments between remote computers. Additionally, it save time for experts, diminish the inter-expert variability and can be used in both clinical and research settings.
干眼症是一个公共卫生问题,其多因素病因给临床医生和研究人员带来了挑战,因此不同专家和中心之间的合作很有必要。评估泪膜脂质层中观察到的干涉图样是用于干眼症诊断的常见临床测试。然而,这是一项耗时的任务,观察者内部以及观察者之间的变异性都很高,这使得基于计算机的分析系统的使用非常必要。这项工作介绍了iDEAS(干眼症评估系统),这是一个基于网络的应用程序,用于支持干眼症诊断。
iDEAS为眼科护理专家提供了一个框架,以便在分布式环境中使用基于图像的服务进行协作。它由三个主要组件组成:用于用户交互的网络客户端、用于请求处理的网络应用服务器以及用于图像分析的服务模块。具体而言,本文介绍了两种自动服务:泪膜分类,即将图像分类为一种干涉图样;以及泪膜图,即说明图样在整个泪膜上的分布情况。
不同机构的专家对iDEAS进行了评估,以测试其性能。使用不同专家的注释,根据一组性能指标对这两种服务进行了评估。请注意,为了提高效率,还测量了这两种服务的处理时间。
iDEAS是一个基于网络的应用程序,为干眼症评估提供了一个快速、可靠的环境。该系统允许从业者在远程计算机之间共享图像、临床信息和自动评估。此外,它为专家节省了时间,减少了专家之间的变异性,可用于临床和研究环境。