脂质层模式评价标准:Pli-marker数据库

C. García-Resúa, Hugo Pena-Verdeal, B. Remeseiro, M. G. Penedo, M. .. Giraldez, E. Yebra-Pimentel
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引用次数: 2

摘要

本研究的目的是建立泪镜采集和评价脂质层模式(LLP)的程序,以加强这一有用的技术。为了达到这一目的,我们提出了一个新的广泛的LLP图像数据库(包含在一个名为Pli-marker的网络应用程序中)。泪膜脂质层使用Tearscope-plus (Keeler, Windsor, UK)进行了检查。为了捕捉llp视频,使用了Topcon DV-3数码相机,并连接在裂隙灯上。所有视频通过Topcon IMAGEnet i-base软件存储在计算机中,LLP图像被获取并上传到Pli-marker网络应用程序,该应用程序提供与特定LLP相关的手动选择区域。由4名经验丰富的验光师对50幅图像进行分析。他们每个人(使用Pli-marker)标记了50张图像中与5种LLP中的一些相对应的区域:开放网格(OM),封闭网格(CM),波浪(W),无定形(AM)和彩色条纹(CO)。从50幅图像中,我们获得了25个OM区,22个CM区,20个W区,46个AM区和17个CO区,4个观测者一致。我们为每个一致性区域提供了4张图片的示例,并描述了在我们的研究中用于对LLP进行分类的特征。这项工作描述了我们研究项目中使用的方法,包括捕获图像的设置,以及由一组图像完成的LLP主观分类的标准。
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Criteria for lipid layer pattern evaluation: Pli-marker database
The purpose of this study is to establish the procedure of acquisition and evaluate the Lipid layer pattern (LLP) by Tearscope in order to enhance this useful technique. To aid this purpose, we present a new broad LLP images database (included in a web application called Pli-marker) The tear film lipid layer was examined using a Tearscope-plus (Keeler, Windsor, UK). To capture LLPs videos a Topcon DV-3 digital camera was used and attached to the slit lamp. All videos were stored in a computer via Topcon IMAGEnet i-base software and LLP images were obtained and uploaded at Pli-marker web application, which offers the manual selection of regions associated to a specific LLP. 50 images were analysed by 4 experienced optometrists. Each of them marked (using Pli-marker) those areas in the 50 images that corresponded with some of the 5 LLP: open meshwork (OM), closed meshwork, (CM), wave (W), amorphous (AM) and color fringe (CO). From the 50 images we obtained 25 areas of OM, 22 areas of CM, 20 areas of W, 46 areas of AM and 17 areas of CO that 4 observers were in accordance. We present an example of 4 pictures for each area of concordance together with the description of the features used for categorizing the LLP in our study. This work describes the methodology used in our research project, including settings for capture image, and the criteria for subjective categorization of the LLP accomplished by a set of images.
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