ohif-viewer is a zero-footprint medical image viewer provided by the Open Health Imaging Foundation (OHIF). It is a configurable and extensible progressive web application with out-of-the-box support for image archives which support DICOMweb.
ATTENTION: If you are looking for Version 1 (the Meteor Version) of this repository, it lives on the
v1.x
branch
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:
Steps:
- Fork this repository
- Clone your forked repository (your
origin
)
git clone git@github.com:YOUR_GITHUB_USERNAME/Viewers.git
- Add
OHIF/Viewers
as aremote
repository (theupstream
)
git remote add upstream git@github.com: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.
- Clone this repository
- Navigate to the project directory, and
yarn install
- To begin making changes,
yarn run dev
- 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.
Please file an issue to suggest new features. Vote on feature requests by adding a π. This helps maintainers prioritize what to work on.
For questions related to using the library, please visit our support community, or file an issue on GitHub.
If you want to know what's planned for the very near future, check out our roadmap. The best way to influence when and what is worked on is to contribute to the conversation by creating GitHub issues, and contributing code through pull requests. OHIF's high level priorities for the near future are:
- Feature parity with version 1
- Extension and configuration improvements with key integration partners
- Continued Developer Experience Improvements
- Segmentation Tools, and improved VTK.js support
More granular information will make it's way to the backlog as these items become scoped for development by core maintainers.
Don't hesitate to ask questions, propose features, or create pull requests. We're here, we're listening, and we're ready to build the best open source medical imaging viewer on the web.
Thanks goes to these wonderful people (emoji key):
Erik Ziegler π» | Evren Ozkan π» | Gustavo AndrΓ© Lelis π» | Danny Brown π» | allcontributors[bot] π | Esref Durna π¬ | diego0020 π» |
This project follows the all-contributors specification. Contributions of any kind welcome!
MIT Β© 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).