Our vision is a world where
- Innovative healthcare applications can be built with minimal resources
- Production-ready medical imaging tools can be created from open source components
- Research is translated efficiently into clinical tools
Enabling innovation in imaging through collaborative development
Our vision is a world where
Our mission is to foster innovation by
OHIF is a framework for building web applications that uses meteor; a full-stack javascript platform. Meteor is built on top of node .js, adding reactive templates (Blaze), a pub/sub mechanism (via web-sockets and ddp), and a fully integrated client-server mongodb making it easy to create reactive data elements in the UI.
The code is organized as reusable meteor packages so that it’s a straightforward process to incorporate new tools and workflows into the basic viewer UI.
OHIF Viewer is a reference implementation of the OHIF framework targeted at general radiology users. It implements most of the functionality listed in the IHE Basic Image Review (BIR) profile. Although useful as-is, this viewer application is mostly intended as an example and as a starting point for developing more robust, feature-complete viewer applications.
LesionTracker is another reference implementation of the OHIF framework which focuses on an oncology workflow. Partly funded by a 5-year U24 grant from the National Cancer Institute (NCI), this project is intended to satisfy the basic tumor metrics workflow of a small cancer center. It includes a DICOM server for storing and streaming images to the viewer, tools for measuring and following lesions over time, and a database for measurements of overlay data.