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The development of an ophthalmologic imaging CADe structured report for retinal image radiomics research

机译:用于视网膜图像放射学研究的眼科成像CADe结构化报告的开发

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Retinal changes on a fundus image have been found to be related to a series of diseases. The traditional retinal image quantitative features are usually collected by various standalone and proprietary software which results in variabilities in feature extraction and data collection. Based on our previously established web-based imaging informatics platform to view DICOMized and de-identified fundus images, we developed a computer aided detection structured report (CADe SR) to capture some of the quantitative features on fundus images such as arteriole/venule diameter ratio, cup/disc diameter ratio and to record several lesions such as aneurysms, hemorrhages, neovascularization and exudates into different regions based on known research and clinically related templates such as Early Treatment Diabetic Retinopathy Study (ETDRS) 9 Region Map and four Region Map. In this way, the location patterns of the above lesions as well as morphological changes of anatomy structures could be saved in SR for further radiomics research. In addition, an on-line consultation tool was developed to facilitate further discussion among clinicians and researchers regarding any uncertainty of measurements. Compared with the present workflow of utilizing standalone software to obtain quantitative results, qualitative and quantitative data was acquired by the CADe SR directly, which will provide researchers and clinicians the ability to capture findings and will foster future image-based knowledge discovery researches.
机译:已经发现眼底图像上的视网膜变化与一系列疾病有关。传统的视网膜图像定量特征通常由各种独立的专有软件收集,这会导致特征提取和数据收集方面的差异。基于我们先前建立的基于网络的成像信息学平台,以查看DICOM化和去识别的眼底图像,我们开发了一种计算机辅助检测结构化报告(CADe SR),以捕获眼底图像上的一些定量特征,例如小动脉/小静脉直径比,杯/盘直径比,并根据已知研究和临床相关模板(如早期糖尿病性视网膜病变研究(ETDRS)9区域图和四个区域图)记录多个病变,例如动脉瘤,出血,新血管形成和渗出液进入不同区域。这样,可以将上述病变的位置模式以及解剖结构的形态变化保存在SR中,以进行进一步的放射学研究。此外,开发了一种在线咨询工具,以促进临床医生和研究人员就测量的任何不确定性进行进一步的讨论。与目前使用独立软件获取定量结果的工作流程相比,CADe SR直接获取了定性和定量数据,这将为研究人员和临床医生提供捕获结果的能力,并将促进未来基于图像的知识发现研究。

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