This document describes an ocular imaging challenge presented by Agent Labs to develop a prototype DICOM viewing application. The goals are to [1] create a commercially viable prototype, [2] present it to industry experts for feedback, and [3] potentially raise funds for further development. The prototype application called Iris is an open-source, platform-neutral DICOM viewer built with popular technologies. It emphasizes usability, design, and integration with workflows while having potential for customization and extensibility. Further development is still needed to support more devices and specifications fully before the application is production ready.

1. Ocular Imaging Challenge
Presented by Agent Labs, LLC
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2. Objective
Rethink the way DICOM viewers, and medical software in general, are designed and
built. Agent’s mission is bring thoughtfully designed software products to market.
• Develop a prototype application with the goal of making it commercially viable in the longer term.
• Present the prototype in front of industry experts or advisors that can help us refine the design and
development of the product.
• Potentially raise funding to accelerate development of the product and ensure it meets FDA regulations.
Meeting Judging Criteria
1. Usability and interface for image viewing - emphasis on design and usability
2. Integration with workflow - single sign-on (SSO) available via LDAP, but requires configuration
3. Platform neutral - works on any modern browser, tablet, or mobile phone on any operating system
4. Breadth of input devices and formats - needs improvement
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3. Features
• HTML5 Web application capable of viewing DICOM images
• Platform neutral - any OS with any modern browser
• Accessible from any network connected device
• Emphasis on usability and design
• Free and open source - no license or purchase required
• API available to extend capabilities
• Responsive design
• Can be viewed on modern web browsers, tablets, and
smartphones
• Comments (annotations soon)
• LDAP support for single sign-on
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4. Feature Roadmap
There is still a lot of work to be done before Iris is production ready. Development started in
September 2012 as a direct response to the challenge.
• Support for a wider range of devices
• Better support for full DICOM specification
• Search engine
• Render thumbnails
• Lots of enhancements and bugfixes
• Ensure compliance with FDA regulations
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5. Technologies, Datasets, & Third Party Tools
Iris was built using popular & open-source technologies. In the spirit of openness, Iris will also
remain open-source which means it will be available free of charge and easily customizable.
Also, no proprietary software was used so there’s no vendor lock-in.
• Written in Python using the Django web framework
• PostgreSQL database to store application data
• Redis to store DICOM image metadata
• Twitter Bootstrap Theme
• Backbone.js
• Primary third-party code libraries:
• LDAP support: django-ldap
• Sample DICOM images, and core rendering engine: DWV
https://github.com/ivmartel/dwv
• Reading DICOM metadata: pydicom
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