ohif-viewer/README.md
2019-04-25 15:01:18 -04:00

7.4 KiB

Viewers

This repo contains the OHIF DICOM Viewer and Lesion Tracker, and various shared meteor packages.


CircleCI codecov All Contributors code style: prettier semantic-release

NPM version NPM downloads MIT License

Why?

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 ^_^

Getting Started

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

Setup

Requirements:

Steps:

  1. Fork this repository
  2. Clone your forked repository (your origin)
  • git clone git@github.com:YOUR_GITHUB_USERNAME/Viewers.git
  1. Add OHIF/Viewers as a remote repository (the upstream)
  • git remote add upstream git@github.com:OHIF/Viewers.git

Developing Locally

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

Contributing

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.

Issues

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

🐛 Bugs

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

See Bugs

💡 Feature Requests

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

Questions

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

Google Group

License

MIT © OHIF

Demos

OHIF Viewer - A general-purpose radiology viewer with a variety of tools exposed.

Lesion Tracker - A prototype viewer focused on oncology metrics.

Community

Have questions? Try posting on our google groups forum.

Docker usage

Following the instructions below, the docker image will listen for DICOM connections on port 4242, and for web traffic on port 8042. The default username for the web interface is orthanc, and the password is orthanc.

Temporary data storage

docker run --rm -p 4242:4242 -p 8042:8042 jodogne/orthanc-plugins

Persistent data storage

  1. Create a persistant data volume for Orthanc to use

    docker create --name sampledata -v /sampledata jodogne/orthanc-plugins
    

    Note: On Windows, you need to use an absolute path for the data volume, like so:

    docker create --name sampledata -v '//C/Users/erik/sampledata' jodogne/orthanc-plugins
    
  2. Run Orthanc from Docker with the data volume attached

    docker run --volumes-from sampledata -p 4242:4242 -p 8042:8042 jodogne/orthanc-plugins
    
  3. Upload your data and it will be persisted