|
Hello OHIF community!
We are incredibly excited to present OHIF Viewer v3.7, a release packed with an array of new features and noteworthy enhancements. We have lots to share so please read on!
|
|
|
We are thrilled to roll out our new segmentation mode, packed with a range of interactive tools like brushes, erasers, shapes, and thresholding tools. These tools empower you to create, modify, and perfect your segmentations effortlessly. Once you are satisfied, you can easily download these segmentations or export them directly to your server in DICOM format. Plus, we have optimized our adapters to read segmentation data 3x faster than before, delivering a smoother and more efficient user experience. We are rolling out volume viewport support for segmentation, as it effectively covers the majority of use cases. Furthermore, we are diligently working on stack viewport segmentation for release in the near future. Stay tuned for more updates!
|
|
|
OHIF and MONAI Label
We partnered with NVIDIA to migrate the OHIF Viewer v2 MONAI Label plugin to the v3 platform. This exciting collaboration enables you to effortlessly connect your MONAI Label server to OHIF Viewer v3 and leverage a wide range of advanced AI features. Experience the power of whole-body CT segmentation model, MONAI model zoo, train your AI models with active learning, and much more.
|
|
Cloud Server Configuration UI
We are excited to announce the introduction of a new method for setting up cloud data sources in the OHIF Viewer. Our User Interface (UI) currently supports Google Healthcare API, and its flexible design enables you to seamlessly incorporate additional cloud services. This enhances its versatility and ensures a personalized solution that perfectly aligns with your unique requirements.
|
|
NIFTI Volume Loader in Cornerstone 3D
Cornerstone 3D now fully supports NIFTI data. This exciting addition allows you to utilize all the familiar tools for annotation, manipulation, and segmentation on NIFTI datasets, just as you would with DICOM files. Our future plans include expanding NIFTI support to the OHIF Viewer itself. This enhancement will significantly increase the accessibility of our platform to a broader community of researchers who work with diverse imaging formats.
|
|
UI Improvements
We now notify users about any issues, such as irregular spacing or missing frames, through warning messages. This implementation greatly enhances the reliability of your imaging work.
|
|
|
Take a look at the revamped design of the side panels, which maximizes space for your content while minimizing the room occupied by the panel header.
|
|
Sneak Peek into Next Version
We've been thrilled by the positive response to our previewed 3D features. We are continuing to enhance the user experience around these elements and aim to release updates in future versions. Here is a preview of what we have in the works.
We're reimagining our window level management and preset selectors to be more context-aware. The aim is to offer modality-specific and 3D presets that better serve your needs. We plan for these features to be released in 3.8.
We are enhancing your interactions with hanging protocols and layouts. Our layout tool will soon include convenient access to frequently used layouts, ensuring seamless switching between MPR, 3D, and custom protocols.
Thanks to generous funding from Washington University in St. Louis and Dr. Kooresh Shoghi, we have achieved significant advancements in 4D volume and chart viewport capabilities. One remarkable feature that deserves special mention is the Workflow Stage Manager. Its purpose is to streamline intricate workflows by breaking them down into manageable steps. This intuitive tool presents users with only the relevant tools and panels for each stage, ensuring simplicity and efficiency. Upon completing a stage, users can seamlessly progress to the next without any hassle. Take a look at the movie below to get a glimpse of our exciting new 4D volume mode in the upcoming version.
|
|
New Release Notes Section on Website
We are excited to announce the addition of a dedicated section on our website specifically for OHIF releases. This new section serves as a platform to showcase the latest version of OHIF, providing comprehensive release notes that detail the exciting features and important fixes. You can conveniently access this section by visiting http://ohif.org/release-notes.
|
|
Notable Contributions
We want to extend our gratitude to the following organizations for their valuable contributions to our open-source projects:
|
|
- The Quantitative Imaging for Personalized Cancer Medicine (QIPCM) group has generously introduced an adapter that enables the conversion of labelmaps to DICOM RTSS (PR#3692, PR#734)
- The Pixilib team contributed to fixing various important bugs in OHIF such as 3D Volume and fusion viewports (PR#3494 , PR#3502 ), hanging protocol validators (PR#3322), which we greatly appreciate
- The NCI Imaging Data Commons (IDC) team has made a valuable addition with the display set messages, and we highly appreciate it (PR#3499)
|
|
In Case You Missed It
- Check out Mateus Freira's impressive demo showcasing remote control of OHIF Viewer from another instance. You can find the demo at this link.
- The MICCAI Mediastinal Lymph Node Quantification (LNQ) challenge has concluded, and the top 3 winners are 1st Place: Skeleton Suns, Jonathan Deissler 2nd Place: LMR, Hanxiao Zhang, 3rd Place: Compai, Stefan Michael Fischer. You can find detailed information about the challenge here.
- AWS has officially announced the general availability of HealthImaging. A new datasource module has been written for connecting OHIF Viewer to HealthImaging, and you can find it on GitHub here.
- Radical Imaging has officially announced the general availability of FlexView - a professionally supported, cloud-based universal medical imaging viewer that is based on the Open Health Imaging Foundation (OHIF) framework. You can read the announcement here.
- Check out Dr. Gordon Harris' (Principal Investigator of the OHIF team) recent interview with Massachusetts General Hospital. They discuss the past, present, and future of OHIF. You can find the interview here.
- We highly recommend exploring Boostlet.js, developed by Daniel Haehn, a powerful tool for performing web-based image processing through plugins. it empowers you to enhance your web images with ease and efficiency.
|
|
OHIF Office Hours are held every week online on Thursdays at 10 a.m. Eastern Time. This is a great opportunity for community members to work directly with the core team on their OHIF related projects. You can find information on how to join here.
We appreciate your continued support of OHIF! Thank you for reading this newsletter, and stay tuned for more exciting updates in the near future!
|
|
|
|
|
