Free, Open Source Tools for Research: MONAI and OHIF Viewer

In this installment of the open-source webinar series, we’ll cover two popular open-source projects: MONAI and OHIF Viewer. We’ll cover each of these individually, then we’ll cover the integration of both together.

MONAI a set of open-source, freely available collaborative frameworks built for accelerating research and clinical collaboration in Medical Imaging. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework that benefits nearly every level of medical imaging, deep learning research, and deployment.

OHIF Viewer is arguably the de-facto choice for an open-source, web-based imaging viewer nowadays. It supports workflows of multiple specialties with features such as advanced visualization, high performance, image annotation, reusable components and standards compliance.

Objectives

• Learn about MONAI, its components and uses, and how you can use it
• Learn about OHIF Viewer, its features and integration capabilities
• Witness first hand how collaboration between open-source projects like OHIF and MONAI can be more than the sum of its parts

CE Credit

The Society for Imaging Informatics in Medicine has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).

To receive credit for the activity, registrants must view the entire webinar and then complete the post-webinar survey. Webinar credits will only be awarded one time per webinar view, regardless of if the learner watches the content live or on-demand.

Note: In order to receive credits for any events/learning you attend you must select your eligible credit types found in the CE & Certification section of your MySIIM Account profile.

After registering for the webinar, navigate to My Learning in your MySIIM Account profile to access the content.

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