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

SIIM 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).