DICOM Updates [June 2023]

Dr. Andreas Heindl
July 3, 2023
5 min read
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Summer ☀️ brings a lot of updates for all our DICOM users! These enhancements provide you with the convenience of effortlessly sharing your projects with colleagues 👥, easily rotating 🔁 DICOM series for a smoother annotation experience, an improved mandatory attribute ✅ to ensure no details are overlooked 🔍 on a sample, and many other exciting features. We are delighted to announce and share these updates with you!

Sharing and Deep Linking! 👋


We are launching a new sharing and deep-linking feature within our DICOM editor! This feature will enable our users to easily share their work with colleagues, clients, or anyone they wish to collaborate with. With just a click, users can generate a shareable link to their project or specific parts of it. This new feature also allows for deep linking, meaning that users can direct others to a specific image or slice of their work instead of sharing the entire project. This is a significant enhancement to our platform, and we are excited to offer it to our users. We believe that this feature will enable more seamless collaboration and make our editor even more user-friendly. 

Rotation support for DICOM 

Rotating DICOM images

With this new feature, medical professionals and annotators can seamlessly manipulate the orientation of medical images, including CT volumes, MRIs, and Mammograms, with just a few clicks. By enabling easy rotation of DICOM volumes, we're helping you enhance visualization, streamline workflows, and make more informed decisions.

Improved “required” ✅ setting for your ontology 

DICOM annotation in Encord

Gone are the days of manual checks and potential oversights, as this updated feature automatically verifies the presence not only of required attributes, but required annotations, streamlining your workflow and saving you valuable time ⏱️.

We are excited as ever to receive your feedback on the latest and upcoming updates. Please feel free to contact us at product@encord.com if you have any thoughts or ideas on how we can enhance your experience with us. We eagerly await hearing from you.

Written by Dr. Andreas Heindl
Dr Andreas Heindl is a Machine Learning Product Manager at Encord. He has spent the past 10 years applying computer vision and deep learning techniques in Healthcare at Encord, The Institute of Cancer Research, and Kheiron Medical. The main focus of Andreas' research and work until now has... see more
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