Enabling innovation in imaging through collaborative development


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

Our mission is to foster innovation by

  • Delivering a desktop quality user experience through the web browser
  • Creating reusable components that can be used commercially
  • Building a sustainable community of collaborators
Academic Collaborators
Informatics Technology for Cancer Research
ITCR support a wide range of informatics tools to serve current and emerging needs across the cancer research continuum.
Precision Imaging Metrics at Mass General Hospital
The Precision Imaging Metrics System (PIMS) is an all-in-one quantitative imaging tool and online reporting and data management system for cancer centers.
QIICR at Brigham and Women’s Hospital
QIICR is an NIH-funded project to develop image informatics infrastructure in support of quantitative imaging biomarker research.
3D Slicer at Brigham and Women’s Hospital
3D Slicer is an open-source software platform for medical image informatics, image processing, and three-dimensional visualization.
Radiomics at Brigham and Women’s Hospital
Radiomics is an open-source platform for everything radiomics with the goal of establishing a radiomic standard.
Quantitative Tumor Imaging @ Martinos
QTIM is focused on developing quantitative imaging biomarkers for cancer using advanced imaging techniques.
Commercial Collaborators
The goal of the Nucleus.io platform is to replace traditional enterprise PACS systems with cloud-based, web-enabled, cost-effective simplicity.
ASCEND Health Information Technology
ASCEND Health Information Technology elevates cardiovascular care for healthcare IT providers and Cardiovascular Professionals.
Radical Imaging
Radical Imaging offers contract software development, helping organizations customize OHIF by adding new tools and workflows, and integrating it into their systems.

OHIF is a framework for building medical imaging web applications that uses react. The code is modular, using react components and a plug-in model making it possible to add new tools and workflows into the basic viewer UI.

Image module
  • OHIF Viewer and LesionTracker are available under an open-source, commercially-permissive software license (MIT)
  • The license does not impose restriction on the use of the software
  • OHIF Viewer, LesionTracker, and Cornerstone are NOT FDA approved. It is the responsibility of the users to ensure compliance with applicable standards and regulations.
OHIF Viewer

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.


Academic Collaborations
Gordon Harris
Consulting Services
Rob Lewis
Technical Questions
Google Forum