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The ocean's acoustic environment is a complex tapestry of sounds originating from the natural environment (e.g. waves, currents), biological sources (e.g. marine mammals, fish), and humans (e.g. boats, drilling). Underwater soundscape awareness facilitates understanding and monitoring the acoustic environments in oceans and other bodies of water.

We are pleased to announce the release of ITK 5.4.3, the latest maintenance update for this cross-platform, open-source toolkit supporting N-dimensional scientific image analysis with spatially-aware algorithms. 🎉 🍻 🥳 This patch release addresses several key issues identified since ITK 5.4.2 while maintaining API stability. 🔦 Highlights As a maintenance update following 5.4.2, version 5.4.3 incorporates […]

Kitware introduced a performance analysis application, the Capability Analysis Tool (CAT), for the ANARI-SDK, enhancing visualization tools like VTK within High-Performance Computing. The CAT identifies performance bottlenecks in rendering, facilitates optimization, and features real-time latency visualizations, ultimately benefiting scientific and engineering applications reliant on advanced data visualization.

Training robust AI models for medical imaging requires access to large volumes of high-quality, well-annotated data. But in many clinical domains—especially interventional and minimally invasive procedures—real X-ray data is difficult to obtain. Patient privacy concerns, data storage costs, radiation exposure risks, and inconsistent labeling practices often limit the availability and utility of clinical datasets.

Introduction Kitware is excited to announce a major update to 3D Slicer’s Bone Texture Extension, which was first introduced here. The extension uses high performance algorithms implemented in ITKTextureFeatures to enable analysis of local texture in 2-D, 3-D, and N-D images. It provides a user-friendly interface to calculate a wide range of texture features including […]

CDash 3.9 brings the ability to edit site descriptions directly from the site information page, plus many other UI enhancements, bug fixes, and dependency updates. Also included are a number of internal changes in preparation for CDash 4.0. For more information on the full contents of this release, see the release notes.

On behalf of the 3D Slicer developer community, we are pleased to announce that version 5.8 is now available for download! 3D Slicer continues to push the boundaries of open-source medical image computing, and this latest release brings a range of enhancements that improve usability, performance, and expandability. Whether you're a researcher, clinician, or developer, Slicer 5.8 introduces powerful tools to streamline your workflows.

Kitware, a leader in innovative software solutions for medical research and image-guided interventions, is excited to announce its role as a key industry partner in a groundbreaking research project awarded up to $20.9 million in funding from ARPA-H Precision Surgical Interventions (PSI) program.

In the rapidly evolving field of medical imaging, segmentation plays a critical role in identifying and delineating regions of interest (ROIs) from complex medical scans. High-quality segmentation can unlock significant insights in oncology, cardiology, or neurology. However, integrating advanced segmentation capabilities into existing pipelines can be challenging. This is where VAMAS (Visualize, Analyze, Manage, medical images As a Service), our cloud-based Segmentation-as-a-Service application, steps...

Accurate 3D object detection is an important computer vision task for various domains such as remote sensing, medical or autonomous driving. It usually requires annotating the dataset with precise labels to enable robust model learning. However, annotating large datasets at scale with precise labels is time-consuming. To address this, we present ParaLabel, a novel plugin […]

Kitware recently introduced a new feature to VolView that enables seamless integration with Google Cloud Healthcare, allowing users to view DICOM images directly from the cloud. This enhancement provides a streamlined workflow for medical imaging professionals who need secure and efficient access to their datasets, and enables quick and easy visualization of datasets stored in Google Cloud Healthcare.

The 42nd Slicer Project Week (PW42) took place from January 27-31, 2025, in Gran Canaria, Spain. This bi-annual gathering brought together researchers, developers, and medical imaging professionals from around the world to collaborate on the open source 3D Slicer platform. From integrating advanced AI workflows to improving core functionalities, participants seized the opportunity to push the boundaries of medical imaging and visualization.

In the ever-evolving field of medical imaging research, managing complex datasets and ensuring smooth data workflows is often challenging. The processing steps involved, such as image normalization, segmentation, registration, and statistical analysis, must be carefully orchestrated to ensure both accuracy and reproducibility. As part of our collaborative research project with the University of North Carolina at Chapel Hill on osteoarthritis, we've turned to Dagster–a...

This release contains several exciting new features, including an option to validate submitted XML files at submission time, a refreshed look for several site-related pages, support for storage in S3, and email notifications for expiring authentication tokens. As usual, we also included a number of bug fixes, dependency updates, and internal maintenance improvements. For more […]

We are pleased to announce the release of ITK 5.4.2, the latest maintenance update for this cross-platform, open-source toolkit supporting N-dimensional scientific image analysis with spatially-aware algorithms.    This patch release addresses several key issues identified since ITK 5.4.0 while maintaining API stability.  Highlights As a maintenance update following 5.4.0, version 5.4.2 incorporates critical improvements including: A full […]