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We are happy to announce that we are releasing the next version of the OHIF Viewer as a public beta. This new version shifts us from a “general-purpose medical imaging viewer” to a “medical imaging platform” with powerful new capabilities and a new user interface. We are calling this iteration version v3 of OHIF, considering the legacy Meteor version v1 and the current React-based version v2.

  New UI & UX Centric Redesign

The user interface has been redesigned with elegant side panels, exam overview in the study list, and much more. We've created a new user interface component library (@ohif/ui), built with React and Tailwind CSS utility classes, that allows you to rapidly and easily develop components that match the rest of the application's look-and-feel.

Launch Demo

  Highly Customizable and Extensible

In OHIF v2, you could add functionality (e.g., MPR rendering, segmentation, and more) using extensions. However, since extensions frequently included side effects, this meant that reusing extensions usually required maintaining separate forks of OHIF. To address this, we have conducted a comprehensive re-architecture of Extensions, and have introduced the concept of Modes.

Modes are configuration objects that instruct the Viewer how to assemble Extensions to create applications on various routes (i.e., URLs). In more detail, in OHIF v3, extensions are building blocks which provide functionality, and it is the responsibility of Modes to assemble and use them. For instance, you can create a "Measurement Tracking" Mode registered at "mydomain/tracking" to utilize standard tools, panels, and rendering functionalities provided by Cornerstone Extension to annotate and track measurements. In parallel, your application can include the Segmentation mode, which is accessible at "mydomain/segmentation" and provides a segmentation panel, segmentation tools, and AI results that your custom extension will provide. This re-architecture enhances OHIF's modularity and brings us one step closer to enabling the sharing of functionality and workflows within the community. In the long-term, we would like to enable runtime installation of Modes by end users.

Learn More

New Documentation and Community Websites

We have redesigned the documentation website to provide a richer experience for developers, in addition to providing robust documentation for OHIF-v3. We've also set up a new discussion forum at where people may ask questions and share ideas.
Read the Docs
Cornerstone-3D demo: MPR view of 3x3 synced viewports for a PET/CT study

Roadmap: Cornerstone 3D alpha and Funding Updates

Roadmap: Cornerstone 3D alpha

Finally, we would like to share some exciting news about an upcoming change. We are finalizing the alpha release for Cornerstone-3D, which has been rebuilt to support 3D rendering. Cornerstone-3D has been rewritten in TypeScript and uses vtk.js as its rendering engine. In addition, we have added support for using CornerstoneTools in 3D space, and upgraded them to be rendered using SVG, so that tool rendering is decoupled from the image rendering. Cornerstone-3D enables advanced visualization with progressive loading and will allow us to support complex imaging workflows more easily. Above, you can see a short clip of Cornerstone-3D demonstrating a PET/CT layout with synchronized viewports.

Funding Updates

The OHIF Viewer's primary funding source, a National Cancer Institute U24 grant to Dr. Gordon Harris at Massachusetts General Hospital, ended in November 2020. In 2021, we received funding from the Chan-Zuckerberg Initiative (CZI) Essential Open-source Software for Science (EOSS) program. The primary aim of our CZI EOSS grant is to expand our support infrastructure to promote engagement and collaboration with the community. We plan to proactively communicate our roadmap and objectives via our website and regularly share our progress through this newsletter.

Over the past five years, we have built and maintained an open-source enterprise-grade viewer by listening to the community's requirements and feedback while pushing on every frontier in web-based medical image visualization and reporting. Stay tuned for more updates, and please share this newsletter with others if you think they might find it interesting.

If you're interested in exploring options to support the project on any scale, please reach out to



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