We see things differently

Medical imaging on the web
doesn't have to be hard

OHIF
INTEGRATION

OHIF Viewer is a popular open-source, zero-footprint web viewer for medical imaging. We have helped a lot of companies integrate it into their systems. We can connect yours in a few days.

CUSTOM
TOOL DEVELOPMENT

OHIF comes with a complete set of imaging features, but if you need a specialized tool, we can build it for you. We have added tools for measurement, AI results, non-standard image support and more.

CUSTOM
WORKFLOWS

OHIF is more than just a viewer, it is a flexible application framework that can be customized for your workflow. We have done this for teleradiology, oncology, cardiology, and surgical planning.

FAST-TRACK YOUR SOFTWARE PROJECT

Radical Imaging specializes in developing medical imaging solutions.  We have deep experience in DICOM, open-source, integration and medical workflow. We can provide expertise, augment your team, or run an entire project.

EXPERTS IN OUR DOMAIN

Medical imaging’s esoteric communication protocols and low-level tools can be obstacles to new projects, but you don’t have to tackle its intricacies alone. Radical’s deep experience in medical imaging, open-source and modern software development tools enable our clients to stay competitive.

DEVELOPMENT PARTNERS

We work shoulder to shoulder with your team to turn your product ideas into reality. We adapt to your development process, bringing our tools and knowledge in-house to speed things up. Ask us how we succeed consistently in delivering sustainable solutions on time, on budget, and on quality.

LONG-TERM VALUE

Although technology is a key ingredient, it’s still just a means to achieve business goals.  At the end of the day, we offer more than just code-for-hire.  While we care deeply that your product delights your users today, we design solutions that power your business’ future.

WHAT OUR CLIENTS ARE SAYING

The engineers at Radical Imaging are easy to work with, they feel like part of our team. We’ve been able to accelerate development of some high-profile features of our product thanks to their high level of ownership and dedication.

Chris Hafey, CTO

We’ve made great progress on our cardiology viewer with Radical Imaging’s help. Their developers are focused, meticulous and really understand the technology we’re using. I appreciate the direct involvement of their tech leads on our projects; their expertise in medical imaging in general and the OHIF framework in particular gives me confidence that we can tackle any hard problems we might face.

Jeffrey Soble, MD, CEO

I engaged Radical Imaging to integrate and customize the OHIF viewer into the Flywheel research platform. My goal was to accelerate product development without derailing the core roadmap. Mission accomplished! I very much enjoyed working with Rob and the Radical Imaging team. They have deep understanding of the medical imaging space and repeatedly demonstrated professionalism, flexibility, and subject matter expertise.

Imad Nijim, COO

Reference Implementations

Here are some examples of what we have done with the OHIF Framework. 

OHIF Viewer

The OHIF Viewer is a zero-footprint all-purpose radiology viewer based on Cornerstone that meets the minimum requirements for the IHE Basic Image Review profile.  The code is organized into packages that can be re-used to build other purpose-specific viewers to accommodate a variety of custom workflows.  

This is a popular project on GitHub with over 450 stars and 350 forks. It has formed the basis for many viewer projects world-wide.

SOURCE CODE
GitHub
LIVE DEMO
OHIF Viewer

LesionTracker

LesionTracker is an image viewer based on the OHIF framework, tailored specifically for an oncology metrics workflow that is useful in clinical trials. It has specialized tools, UI elements and logic for measuring tumors and following their progress (growth or shrinkage) over time, typically in response to a treatment as part of a clinical trial. This project is funded by the National Cancer Institute under a 5-year ITCR U24 grant. An article about it was published in Cancer Research. 

Cancer Research, November 2017
SOURCE CODE
GitHub
LIVE DEMO
LesionTracker

How can we help?

Even with X-Ray vision, we can’t read your mind.