OHIF Medical Imaging Viewer
The 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.
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About
The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve
and load images from most sources and formats; render sets in 2D, 3D, and
reconstructed representations; allows for the manipulation, annotation, and
serialization of observations; supports internationalization, OpenID Connect,
offline use, hotkeys, and many more features.
Almost everything offers some degree of customization and configuration. If it
doesn't support something you need, we accept pull requests and have an ever
improving Extension System.
Why Choose Us
The OHIF Viewer is a collaborative effort that has served as the basis for many
active, production, and FDA Cleared medical imaging viewers. It benefits from
our extensive community's collective experience, and from the sponsored
contributions of individuals, research groups, and commercial organizations.
Built to Adapt
After more than 5-years of integrating with many companies and organizations,
The OHIF Viewer has been rebuilt from the ground up to better address the
varying workflow and configuration needs of its many users. All of the Viewer's
core features are built using it's own extension system. The same extensibility
that allows us to offer:
- 2D and 3D medical image viewing
- Multiplanar Reconstruction (MPR)
- Maximum Intensity Project (MIP)
- Whole slide microscopy viewing
- PDF and Dicom Structured Report rendering
- User Access Control (UAC)
- Context specific toolbar and side panel content
- and many others
Can be leveraged by you to customize the viewer for your workflow, and to add
any new functionality you may need (and wish to maintain privately without
forking).
Support
We offer support through
GitHub Issues. You can:
For commercial support, academic collaberations, and answers to common
questions; please read our
documented FAQ.
Quick Start Deployment
This is only one of many ways to configure and deploy the OHIF Viewer. To
learn more about your options, and how to choose the best one for your
requirements, check out
our deployment recipes and documentation.
The fastest and easiest way to get started is to include the OHIF Viewer with a
script tag. In practice, this is as simple as:
- Including the following dependencies with script tags:
- Have an element with an ID of
root
on the page - Configure the OHIF Viewer at
window.config
:
window.config = {
routerBasename: '/',
servers: {
dicomWeb: [
{
name: 'DCM4CHEE',
qidoRoot: 'https://server.dcmjs.org/dcm4chee-arc/aets/DCM4CHEE/rs',
wadoRoot: 'https://server.dcmjs.org/dcm4chee-arc/aets/DCM4CHEE/rs',
qidoSupportsIncludeField: true,
imageRendering: 'wadors',
thumbnailRendering: 'wadors',
},
],
},
};
- Install the viewer:
window.OHIFViewer.installViewer(window.config);
This exact setup is demonstrated in this
CodeSandbox and in our
Embedding The Viewer
deployment recipe.
Developing
Requirements
- Yarn 1.17.3+
- Node 10+
- Yarn Workspaces should be enabled on your machine:
yarn config set workspaces-experimental true
Getting Started
- Fork this repository
- Clone your forked repository
git clone https://github.com/YOUR-USERNAME/Viewers.git
- Navigate to the cloned project's directory
- Add this repo as a
remote
named upstream
git remote add upstream https://github.com/OHIF/Viewers.git
yarn install
to restore dependencies and link projects
To Develop
From this repository's root directory:
yarn config set workspaces-experimental true
yarn install
Commands
These commands are available from the root directory. Each project directory
also supports a number of commands that can be found in their respective
README.md
and project.json
files.
Yarn Commands | Description |
---|
Develop | |
dev or start | Default development experience for Viewer |
dev:project <package-name> | Replace with core , ui , i18n , cornerstone , vtk , etc. |
test:unit | Jest multi-project test runner; overall coverage |
Deploy | |
build * | Builds production output for our PWA Viewer |
build:package * | Builds production commonjs output for our Viewer |
build:package-all * | Builds commonjs bundles for all projects |
* - For more information on our different builds, check out our Deploy
Docs
Projects
The OHIF Medical Image Viewing Platform is maintained as a
monorepo
. This means that this repository, instead of containing a
single project, contains many projects. If you explore our project structure,
you'll see the following:
.
├── extensions
│ ├── _example
│ ├── cornerstone
│ ├── dicom-html
│ ├── dicom-microscopy
│ ├── dicom-pdf
│ └── vtk
│
├── platform
│ ├── core
│ ├── i18n
│ ├── ui
│ └── viewer
│
├── ...
├── lerna.json
├── package.json
└── README.md
Want to better understand why and how we've structured this repository? Read
more about it in our Architecture Documentation.
Platform
These projects comprise the
Name | Description | Links |
---|
@ohif/core | Business logic and classes that model the data, services, and extensions that are framework agnostic | NPM |
@ohif/i18n | Language files and small API for wrapping component/ui text for translations | NPM |
@ohif/viewer | The OHIF Viewer. Where we consume and configure all platform library's and extensions | NPM |
@ohif/ui | Reusable React components we consume and compose to build our Viewer's UI | NPM |
Extensions
This is a list of Extensions maintained by the OHIF Core team. It's possible to
customize and configure these extensions, and you can even create your own. You
can read more about extensions here.
Acknowledgments
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).
License
MIT © OHIF
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