Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research
Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research
复制标题
DOI：
10.1200/cci.19.00131
复制
发表时间：
2020-04-23
影响因子：
4.2
通讯作者：
Harris, Gordon J.
中科院分区：
文献类型：
--
作者：
Ziegler, Erik;Urban, Trinity;Harris, Gordon J.
目的零足迹Web体系结构使映像应用程序可以部署在本地或云中，而无需在用户的计算机上安装定制软件。好处包括降低了成本和信息技术支持需求，以及改善了跨网站的可及性。开放健康成像基金会(OHIF)查看器是一个可扩展的平台，旨在利用这些优势并满足基于Web的开源成像应用程序的需求。OHIF查看器提供基本的图像查看功能(例如，图像处理和测量)以及高级可视化(例如，多平面重新格式化)。它被编写为仅限客户端的单页Web应用程序，可以轻松地嵌入到第三方应用程序中或作为独立的Web站点托管。该平台为软件开发人员提供了扩展点，以包括定制工具并根据他们的工作流程调整系统。它符合标准，依靠DICOMweb进行数据交换和OpenID Connect进行身份验证，但可以配置为使用任何数据源或身份验证流。结果OHIF查看器及其底层组件已被广泛采用，并集成到多个临床研究平台(如精密成像度量、XNAT、LabCAS、ISB-CGC)和商业应用程序(如Osirix)中。它还被用于构建自定义成像应用程序(例如，ProstateCancer.ai、Crowds Cure Cancer[作为案例研究])。结论OHIF查看器为构建支持成像研究的应用程序提供了一个灵活的框架。它的采用可以减少国家癌症研究所资助的项目的软件开发中的冗余，包括癌症研究的信息技术和定量成像网络。(C)2020年美国临床肿瘤学会
PURPOSE Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user's computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage these benefits and address the demand for open-source Web-based imaging applications. The platform can be modified to support site-specific workflows and accommodate evolving research requirements.MATERIALS AND METHODS The OHIF Viewer provides basic image review functionality (eg, image manipulation and measurement) as well as advanced visualization (eg, multiplanar reformatting). It is written as a client-only, single-page Web application that can easily be embedded into third-party applications or hosted as a standalone Web site. The platform provides extension points for software developers to include custom tools and adapt the system for their workflows. It is standards compliant and relies on DICOMweb for data exchange and OpenID Connect for authentication, but it can be configured to use any data source or authentication flow. Additionally, the user interface components are provided in a standalone component library so that developers can create custom extensions.RESULTS The OHIF Viewer and its underlying components have been widely adopted and integrated into multiple clinical research platforms (e,g Precision Imaging Metrics, XNAT, LabCAS, ISB-CGC) and commercial applications (eg, Osirix). It has also been used to build custom imaging applications (eg, ProstateCancer.ai, Crowds Cure Cancer [presented as a case study]).CONCLUSION The OHIF Viewer provides a flexible framework for building applications to support imaging research. Its adoption could reduce redundancies in software development for National Cancer Institute-funded projects, including Informatics Technology for Cancer Research and the Quantitative Imaging Network. (c) 2020 by American Society of Clinical Oncology