Extensible web imaging platform
for
oncologycardiologyveterinary medicinemedical devicesmachine learningpathology

Create custom workflows with user-friendly interfaces.
Review cases and report results quickly, zero installation required.

Advanced visualization

See all the details with support for multi-modal image fusion, multi-planar reformatting, and more

Image Annotation

Draw from a robust library of easy-to-use annotation and measurement tools

Web Application

Load cases from anywhere, instantly, with no installation required. Supports all modern browsers.

High-performance

Speed up your work with GPU-accelerated image rendering and multi-threaded image decoding

Standards-compliant

Flexibly connect to image archives with standard APIs such as DICOMWeb and OpenID Connect.

Reusable components

Build custom workflows using a composable set of professionally-designed React User Interface components.

Free & open-source

Customize every aspect of your workflow with complete control over the code.

Touch and mouse support

Support across devices with built-in touch capable tools such as pinch-to-zoom.

Examples
Don't take our word for it. OHIF is used by hundred of imaging projects.
Explore real systems built by the community.

Crowds Cure Cancer

A crowd-sourcing experiment to accelerate quantitative imaging research.

NCI Imaging Data Commons

Connecting researchers with publicly available cancer imaging data.

ProstateCancer.ai

Artificial Intelligence (AI) system to identify clinically significant prostate cancer.

OHIF Ecosystem

Bundle reusable functionality into Extensions.
Design optimized Modes with task-specific tools, hanging protocols, and UI.

Contribute

View docs for building and
sharing Extensions & Modes

Explore

Review Extensions & Modes
shared by the Community

Get started

Learn how to use OHIF with your own data, customize the UI for your research goals, or get started with extension development.

Stay up to date

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See our .

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OHIF is open source software released under the
MIT license.

Open Health Imaging Foundation