基于开源存储库的医学成像软件的实践现状
Spencer Smith1, Ao Dong2, Jacques Carette2
1McMaster University.
Critical reviews in biomedical engineering
|October 24, 2025
概括
这项研究对开源医疗成像 (MI) 软件进行了排名,发现3D Slicer,ImageJ,斐济,OHIF Viewer和ParaView领先. 虽然MI软件开发通常是健康的,但需要改进文档和测试.
科学领域:
- 医疗成像软件开发 医疗成像软件开发
- 开源软件工程 开源软件工程
- 软件质量评估 软件质量评估
背景情况:
- 开源存储库对于医学成像 (MI) 软件开发至关重要.
- 评估MI软件开发的实践状态对于推进该领域至关重要.
- 现有的研究软件开发指南为评估MI项目提供了基准.
研究的目的:
- 通过使用开源存储库审查和排名医疗成像软件开发的实践状况.
- 确定当前MI软件开发方法的优缺点.
- 为改善MI软件质量和可维护性提供可行的建议.
主要方法:
- 在开源存储库中从48个候选人中选择了29个MI软件项目.
- 通过每项项目108个问题评估了9个软件质量.
- 采用分析层次过程 (AHP) 进行定量数据分析和排名.
- 进行了开发者采访,以确定关键问题.
主要成果:
- 排名最高的MI软件:3D Slicer,ImageJ,斐济,OHIF Viewer和ParaView,与社区指标 (GitHub星) 一致.
- 发现高度遵守版本控制 (100%) 和良好的文档文物存在 (88%).
- 在测试计划,要求规范,连续集成 (17%) 和单元测试 (~50%) 中发现了漏洞.
结论:
- 医学成像软件开发通常是健康的,但需要改进文档和测试.
- 开发人员关心的关键问题包括开发时间,资金,技术,正确性,可用性,可维护性和可重复性.
- 建议包括加强文档,增加测试,采用持续集成和改进软件设计原则.
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