PyOPV:一个开源的Python包,用于眼科视觉场数据管理
Shahin Hallaj1,2, Michael V Boland3, William Halfpenny1,2
1Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, Hamilton Glaucoma Center, University of California San Diego, La Jolla, CA.
Journal of glaucoma
|February 26, 2026
概括
PyOPV是一个新的Python软件,可以帮助眼研究人员管理和分析眼科视野DICOM数据. 它将文件转换为可用的格式,提高数据可访问性和研究可扩展性.
科学领域:
- 眼科信息学是一门眼科信息学专业.
- 医疗图像分析 医学图像分析
- 视觉研究中的数据互操作性
背景情况:
- 眼科视野 (OPV) 数据的标准化对研究至关重要.
- 现有的DICOM数据格式给视觉研究人员带来了互操作性和可访问性挑战.
- 需要强大的工具来管理和分析OPV DICOM文件.
研究的目的:
- 介绍PyOPV,这是一个基于Python的软件包,用于管理和分析OPV DICOM数据.
- 解决视觉研究数据互操作性和可访问性的局限性.
- 为DICOM合规检查,解析和转换OPV数据提供工具.
主要方法:
- PyOPV使用Python 3.8.2开发,利用DICOM Supplement 146进行合规性检查.
- 该软件是使用三个不同供应商的OPV DICOM文件设计和测试的.
- 用样本数据在两个独立机构验证了功能.
主要成果:
- PyOPV成功地将OPV DICOM数据提取并转换成Pandas数据和JSON格式.
- 验证显示与现有的机构工作流程有很好的一致性,证明了数据的准确性.
- 发现了重要的互操作性问题,在各供应商中缺少17%-51%的需要的DICOM标签.
结论:
- PyOPV为处理眼科视野数据提供了一种高效的解决方案,提高了研究可扩展性.
- 该软件弥合了数据互操作性的关键差距,使得来自不同来源的批量处理成为可能.
- PyOPV支持整合到大规模的健康数据仓库,推进眼科信息学和临床研究.
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