Building a web based medical imaging viewer from scratch is time intensive, hard to get right, and expensive. Instead of re-inventing the wheel, you can use the OHIF Viewer as a rock solid platform to build on top of. The Viewer is a React Progressive Web Application that can be embedded in existing applications via it's packaged source (ohif-viewer) or hosted stand-alone. The Viewer exposes configuration and extensions to support workflow customization and advanced functionality at common integration points.

If you're interested in using the OHIF Viewer, but you're not sure it supports your use case check out our docs. Still not sure, or you would like to propose new features? Don't hesitate to create an issue or open a pull request.

This readme is specific to testing and developing locally. If you're more interested in production deployment strategies, you can check out our documentation on publishing.

Want to play around before you dig in? Check out our LIVE Demo

Requirements:

• NodeJS & NPM
• Yarn

Steps:

1. Fork this repository
2. Clone your forked repository (your origin)

• git clone [email protected]:YOUR_GITHUB_USERNAME/Viewers.git

3. Add OHIF/Viewers as a remote repository (the upstream)

• git remote add upstream [email protected]:OHIF/Viewers.git

In your cloned repository's root folder, run:

// Restore dependencies
yarn install

// Stands up local server to host Viewer.
// Viewer connects to our public cloud PACS by default
yarn start

For more advanced local development scenarios, like using your own locally hosted PACS and test data, check out our Essential: Getting Started guide.

Large portions of the Viewer's functionality are maintained in other repositories. To get a better understanding of the Viewer's architecture and "where things live", read our docs on the Viewer's architecture

It is notoriously difficult to setup multiple dependent repositories for end-to-end testing and development. That's why we recommend writing and running unit tests when adding and modifying features. This allows us to program in isolation without a complex setup, and has the added benefit of producing well-tested business logic.

1. Clone this repository
2. Navigate to the project directory, and yarn install
3. To begin making changes, yarn run dev
4. To commit changes, run yarn run cm

When creating tests, place the test file "next to" the file you're testing. For example:

// File
index.js

// Test for file
index.test.js

As you add and modify code, jest will watch for uncommitted changes and run your tests, reporting the results to your terminal. Make a pull request with your changes to master, and a core team member will review your work. If you have any questions, please don't hesitate to reach out via a GitHub issue.

Looking to contribute? Look for the Good First Issue label.

Please file an issue for bugs, missing documentation, or unexpected behavior.

See Bugs

Please file an issue to suggest new features. Vote on feature requests by adding a 👍. This helps maintainers prioritize what to work on.

See Feature Requests

For questions related to using the library, please visit our support community, or file an issue on GitHub.

Google Group

MIT © OHIF

To acknowledge the OHIF Viewer in an academic publication, please cite

LesionTracker: Extensible Open-Source Zero-Footprint Web Viewer for Cancer Imaging Research and Clinical Trials

Trinity Urban, Erik Ziegler, Rob Lewis, Chris Hafey, Cheryl Sadow, Annick D. Van den Abbeele and Gordon J. Harris

Cancer Research, November 1 2017 (77) (21) e119-e122 DOI: 10.1158/0008-5472.CAN-17-0334

Note: If you use or find this repository helpful, please take the time to star this repository on Github. This is an easy way for us to assess adoption and it can help us obtain future funding for the project.

This work is supported primarily by the National Institutes of Health, National Cancer Institute, Informatics Technology for Cancer Research (ITCR) program, under a grant to Dr. Gordon Harris at Massachusetts General Hospital (U24 CA199460).