Abstract
PURPOSEZero-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 METHODSThe 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.RESULTSThe 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]).CONCLUSIONThe 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.
Highlights
Oncology imaging informatics encompasses a vast array of workflows, tools, and features that end users have come to rely on to support their research and clinical trial needs
The Open Health Imaging Foundation (OHIF) Viewer provides a flexible framework for building applications to support imaging research
Installed software tools are often limited to specific operating systems and can be challenging to remotely access and update when installed inside hospital environments
Summary
Oncology imaging informatics encompasses a vast array of workflows, tools, and features that end users have come to rely on to support their research and clinical trial needs. Feature-rich desktop imaging applications address many oncology needs, desktop-installed tools have significant limitations. Installed software tools are often limited to specific operating systems and can be challenging to remotely access and update when installed inside hospital environments. Cloud computing is quickly becoming an attractive computing model for biomedical research.[1] Compared with standard desktop workstations and local high-performance clusters, public cloud providers offer pay-as-you-go, on-demand, configurable resources. They can provide a secure and costeffective infrastructure that is both highly available and scalable. As more data are relocated to cloud resources, Web-based imaging applications become the most practical approach to interacting with remote data sources.
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