OHIF Viewer 3.3 With DICOM Segmentation Support

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We are happy to announce the release of version 3.3 of the OHIF Viewer! This release brings DICOM Segmentation support as well as other features like multiplanar reformatting, synchronized scrolling, and reference lines. These features narrow the gap between functionality in OHIF v3 and v2, and we consider this version a release candidate which will soon be transitioned to the OHIF/Viewers master branch on GitHub.

3D Segmentation

Segmentation plays an important role in medical imaging, and with OHIF Viewer v3 we have continued to make the segmentation user experience smooth and easy-to-use. Segmentations are natively loaded and rendered in 3D. The UI includes various interaction tools and rendering display preferences. Currently, the viewer only supports loading and displaying DICOM SEG in the viewer. Segmentation creation and editing tools are being developed and will be available soon.

Try it out!

Fast and Optimized Multiplanar Reconstruction (MPR)

OHIF Viewer v3 now supports MPR visualization of volumes and segmentations. The MPR feature, which is based on Cornerstone3D VolumeViewports, reuses the same data for multiple viewports.
This means that the memory footprint of the viewer is significantly reduced and the performance is greatly improved. Version 3.3 also includes critical bug fixes related to memory usage in Cornerstone3D which were addressed recently.

New Collapsible Side Panels

We have redesigned the side panels of the OHIF Viewer to be more compact and user friendly. With the new design, all side panel icons are visible at the same time, and in order to open another panel, you no longer need to close the previous panel. This will also serve as reusable UX that will make any OHIF mode relying on multiple panels more intuitive and easy to use.

Context-aware Drag and Drop via Hanging Protocols

Drag and dropping of thumbnails have been reworked to work alongside
of the Hanging Protocols to allow for a more seamless experience. As an
example, if you have a Hanging Protocol that re-uses a display set
across multiple viewports, you can now drag and drop a thumbnail into
any of the viewports that are using that display set and it will update
all the viewports that are using that display set. Below, you can see
the Total Metabolic Tumor Volume (TMTV) mode with the side thumbnail panel.

New Tools:
Reference Lines and Stack Synchronization

We have added two commonly requested tools to the OHIF Viewer: Reference Lines and Stack Synchronizations. With Reference Lines, you can visualize the projection of the active viewport with respect to the other viewports. Using Stack Synchronization you can synchronize viewport images even if they are not from the same study.

Reference Lines Demo

Stack Synchronization Demo

What about OHIF Viewer v2?

We plan to keep the current OHIF Viewer v2 in a separate branch (v2-stable) in the OHIF Github Repository for those who need more time to plan their upgrade to OHIF Viewer v3. We will happily accept and review any bug fixes from the community around v2, but for the long term v3 will be the focus of our team. If a missing feature is blocking you from upgrading from v2 to v3, let us know so we can address it!

New Funding

Chan Zuckerberg Initiative EOSS5

We are excited to announce that we have been awarded funding in the fifth cycle of the Chan-Zuckerberg Initiative Essential Open-source Software for Science (EOSS) program. The aims of our project are centered around hardening our existing technology, expanding outreach and community support, and integrating with already existing, validated toolkits for medical imaging.

Preclinical Imaging XNAT-enabled Informatics (PIXI) Collaboration

We are also happy to announce that we will begin a collaboration with Drs. Kooresh Shoghi and Daniel Marcus at the Washington University School of Medicine in St. Louis to enhance the Preclinical Imaging XNAT-enabled Informatics (PIXI) platform for preclinical imaging research. This set-aside funding from Dr. Shoghi's National Cancer Institute (NCI) Informatics Technology for Cancer Research (ITCR) grant will be used to add open-source tools to support 4D datasets and address issues specific to preclinical PET imaging. We'll be releasing an updated roadmap soon with more details for both of these projects, so stay tuned!

OHIF + Hack Diversity Year 2

Last year, we started a collaboration with Hack Diversity through the Chan-Zuckerberg Initiative Essential Open Source Software for Science Diversity and Inclusion grant. The goal of this collaboration is to promote diversity and inclusion in software engineering for underrepresented groups. We are happy to announce that the second year of the fellowship program has started and we are looking for new mentors that would help us in this effort. If you are interested in mentoring, please contact us!

Collaborations

OHIF thrives on community contributions. We would like to acknowledge the following contributors for their support.

The DICOM Tag Browser from OHIF Viewer v2 has been migrated to v3 by the Quantitative Imaging for Personalized Cancer Medicine (QIPCM), an Advanced imaging core lab situated within Techna, a UHN research institute. The QIPCM team has also helped debug the TMTV mode’s memory footprint, and to add support with OpenID Connect integration.
Hyperfine added support for DICOM SR TID 1410 which permits display of Comprehensive SRs generated by Highdicom library.