Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Viewers | 2,296 | 5 | 14 | 8 hours ago | 38 | November 30, 2020 | 699 | mit | JavaScript | |
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages | ||||||||||
Dicoogle | 350 | 10 days ago | 60 | gpl-3.0 | Java | |||||
Dicoogle - Open Source PACS | ||||||||||
U Dicom Viewer | 107 | 4 months ago | 36 | mit | JavaScript | |||||
A simple web browser DICOM viewer for any device. | ||||||||||
React Cornerstone Viewport | 79 | 9 | 8 | 7 months ago | 69 | August 26, 2022 | 30 | mit | JavaScript | |
Cornerstone medical image viewport component for React | ||||||||||
React Viewerbase | 75 | 1 | 3 | 4 years ago | 69 | July 26, 2019 | mit | JavaScript | ||
Core medical image viewer components built using React | ||||||||||
Dwv React | 69 | 5 days ago | 6 | gpl-3.0 | Java | |||||
Medical image viewer using DWV (DICOM Web Viewer) and React. | ||||||||||
Rocket_viewer | 19 | 5 years ago | n,ull | JavaScript | ||||||
This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents. | ||||||||||
Embedded Pydicom React Viewer | 16 | a year ago | other | |||||||
Medical DICOM file P10 Viewer/Chrome Extension + ๐ Python ๐ Code In Browser (-Pyodide-> WebAssembly) + Pydicom parser + TypeScript React App (CRA) + Python FastAPI Server Deployment | ||||||||||
React Cornerstone Example | 15 | 5 years ago | 1 | mit | JavaScript | |||||
example integrating react with cornerstone.js library for viewing DICOM medical images | ||||||||||
Dicom Viewer | 3 | 2 months ago | 1 | TypeScript | ||||||
๐ฉบ Simple DICOM viewer created using web technologies |
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.
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.
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.
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:
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).
We offer support through GitHub Issues. You can:
For commercial support, academic collaberations, and answers to common questions; please read our documented FAQ.
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:
root
on the pagewindow.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',
},
],
},
};
window.OHIFViewer.installViewer(window.config);
This exact setup is demonstrated in this CodeSandbox and in our Embedding The Viewer deployment recipe.
yarn config set workspaces-experimental true
git clone https://github.com/YOUR-USERNAME/Viewers.git
remote
named upstream
git remote add upstream https://github.com/OHIF/Viewers.git
yarn install
to restore dependencies and link projectsFrom this repository's root directory:
# Enable Yarn Workspaces
yarn config set workspaces-experimental true
# Restore dependencies
yarn install
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
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:
.
โโโ extensions #
โ โโโ _example # Skeleton of example extension
โ โโโ cornerstone # 2D images w/ Cornerstone.js
โ โโโ dicom-html # Structured Reports as HTML in viewport
โ โโโ dicom-microscopy # Whole slide microscopy viewing
โ โโโ dicom-pdf # View DICOM wrapped PDFs in viewport
โ โโโ vtk # MPR and Volume support w/ VTK.js
โ
โโโ platform #
โ โโโ core # Business Logic
โ โโโ i18n # Internationalization Support
โ โโโ ui # React component library
โ โโโ viewer # Connects platform and extension projects
โ
โโโ ... # misc. shared configuration
โโโ lerna.json # MonoRepo (Lerna) settings
โโโ package.json # Shared devDependencies and commands
โโโ README.md # This file
Want to better understand why and how we've structured this repository? Read more about it in our Architecture Documentation.
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 |
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.
Name | Description | Links |
---|---|---|
@ohif/extension-cornestone | 2D image viewing, annotation, and segementation tools | NPM |
@ohif/extension-dicom-html | Support for viewing DICOM SR as rendered HTML | NPM |
@ohif/extension-dicom-microscopy | Whole slide microscopy viewing | NPM |
@ohif/extension-dicom-pdf | View DICOM wrapped PDFs in a viewport | NPM |
@ohif/extension-vtk | Volume rendering, reconstruction, and 3D visualizations | NPM |
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).
The following is a (partial) list of projects that contributed resources towards development of OHIF Viewer:
Please note that this repository is participating in a study into sustainability of open source projects. Data will be gathered about this repository for approximately the next 12 months, starting from June 2021.
Data collected will include number of contributors, number of PRs, time taken to close/merge these PRs, and issues closed.
For more information, please visit our informational page or download our participant information sheet.
MIT ยฉ OHIF