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Extensible Open Source Zero-Footprint Web Viewer for Cancer Imaging Research

Extensible Open Source Zero-Footprint Web Viewer for Cancer Imaging Research
用于癌症成像研究的可扩展开源零足迹 Web 查看器
批准号:
10644112
负责人:
GORDON J HARRIS
金额:
$76.97万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-01 至 2028-04-30

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中文摘要
翻译
项目摘要/摘要 开放健康成像基金会(OHIF)查看器及其底层库(如Cornerstone)具有 成为癌症研究和基于网络的成像信息学技术的标准框架 超越,支持数百个拥有数千用户的开源项目。通过OHIF,开发人员可以: 1)添加新的创新工具作为OHIF查看器的扩展;2)使用特定的OHIF模块或库来 构建自己的定制工具;以及3)支持Web的现有桌面信息平台。为了支持 从桌面工具过渡到基于Web的工具,研究人员需要得到良好支持的框架来构建。 目前,许多癌症研究图像查看器需要在每个用户的本地安装软件 工作站,这一缺陷限制了可访问性和协作的简易性。目前可用的大多数网络查看器 要么是专有的封闭系统,要么是使用遗留技术的开源研究应用程序。为 癌症成像研究需要多站点协作,因此对能够 使研究人员能够远程查看图像并与同事协作。OHIF的零足迹网络- 查看器工具为终端用户提供了巨大的可用性优势,他们可以即时访问 未安装或更新任何软件的计算机。 在之前的NCI ITCR U24拨款下,我们开发了OHIF框架,它提供了一个专业的- 用于癌症研究的分级、免费、开源的基于Web的成像环境,带图像审查、注释 功能,以及用户友好的界面。OHIF查看器依赖于标准,这使得 与其他系统集成,并且可以扩展为提供自定义功能,而不需要修改 核心应用程序。此外,它的组件可以被重复使用,以快速开发新的应用程序和帮助 为癌症研究工具实现向云计算的过渡。 这项提议的核心目标是加强和维持OHIF平台,并扩大用户和 这项技术的贡献者基础。目前的项目有三个目标:1)治愈网民的癌症 图像可视化和分析功能;2)通过创建即用型减少采用门槛 用于本地部署和云托管部署的安装程序;以及3)扩展我们的支持基础架构 癌症研究社区。对于社区支持,我们将加强我们的外展、参与和支持 促进与开发人员和最终用户协作的举措。为了方便临床翻译和 分享我们在合规方面的经验,我们将实施质量管理体系(QMS),以 核心OHIF框架开发,并定期向社区发布设计文档。 增强平台的功能、简化安装和丰富支持将使研究人员 更好地合作评估癌症疾病进展的性质和对治疗的反应。与 到目前为止,OHIF平台的广泛采用,这些改进的影响将是深远的。
英文摘要
Project Summary/Abstract The Open Health Imaging Foundation (OHIF) Viewer and its underlying libraries such as Cornerstone have become the standard framework for web-based imaging informatics technologies in cancer research and beyond, supporting hundreds of open-source projects with thousands of users. Through OHIF, developers can: 1) add new innovative tools as extensions to the OHIF Viewer; 2) use specific OHIF modules or libraries to build their own custom tools; and 3) web-enable existing desktop informatics platforms. To support the transition from desktop to web-based tools, researchers need well-supported frameworks to build upon. Currently, many cancer research image viewers require software to be installed on each user's local workstation, a drawback which limits accessibility and ease of collaboration. Most web-viewers available today are either proprietary, closed systems, or open-source research applications that use legacy technologies. For cancer imaging research that requires multi-site collaboration, there is a growing need for a framework that can enable researchers to review images and collaborate with colleagues remotely. OHIF’s zero-footprint web- viewer tools provide enormous usability benefits for end users, who gain instant access to view data across computers without any software to install or update. Under a prior NCI ITCR U24 grant, we developed the OHIF Framework, which provides a professional- grade, free, open-source web-based imaging environment for cancer research with image review, annotation functionality, and a user-friendly interface. The OHIF Viewer relies on standards, which has enabled easy integration with other systems, and it can be extended to provide custom functionality without modifying the core application. Additionally, its components can be re-used to rapidly develop new applications and help enable the transition to cloud computing for cancer research tools. The core goal of this proposal is to enhance and sustain the OHIF platform and broaden the user and contributor base of this technology. The current project has three aims: 1) extend the web-viewer’s cancer imaging visualization and analysis capabilities; 2) reduce barriers to adoption by creating ready-to-use installers for on-premises and cloud-hosted deployment; and 3) expand our support infrastructure for the cancer research community. For community support, we will enhance our outreach, engagement, and support initiatives to foster collaboration with developers and end users. In order to facilitate clinical translation and share our experience with regulatory compliance, we will implement a quality management system (QMS) for core OHIF framework development and regularly release design documentation to the community. Enhancing the platform's functionality, easing installation, and enriching support will allow researchers to better collaborate to evaluate the nature of cancer disease progression and response to treatment. With the widespread adoption of the OHIF platform to date, the impact of these improvements will be far reaching.
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