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You’re invited! Join us for Kitware’s ParaView Office Hours to connect with our ParaView developers. This is an opportunity to get hands-on guidance from the experts in an informal, interactive session. From troubleshooting to exploring advanced features to optimizing your workflow, we’re here to help.

At the USGIF GEOINT Symposium 2025, the world's premier geospatial intelligence event, Kitware is proud to showcase our latest innovations in AI, computer vision, and interactive visualization that support national security and global awareness. This year’s theme—Building a Secure Tomorrow Together—aligns perfectly with our mission to empower decision-makers through open science and cutting-edge technology.

If you’re working at the intersection of medical imaging research and product development, chances are you’ve heard of 3D Slicer—the free, open source software platform transforming how we visualize, analyze, and process medical images. But knowing what’s possible with 3D Slicer is only half the battle. The real question is: how can you tailor it to meet your unique needs?

CMake 4.0 introduces a new experimental feature: build process instrumentation. This feature enables detailed tracking of the entire CMake workflow—including configure time, build execution, testing, and installation—providing developers and teams with actionable insights into build performance. With fine-grained metrics such as target-specific compile times and resource usage, this system is ideal for identifying bottlenecks and areas for improvement. By enabling telemetry with this feature,...

From April 28 to May 2, developers and language experts from around the world will gather in Aspen, Colorado for C++Now 2025, a premier event dedicated to the evolution and application of the C++ language. Kitware is excited to participate in this year’s conference, where we’ll connect with fellow developers, share insights from our work in modern software infrastructure, and engage in lively technical...

SPHARM-PDM is a module in SlicerSALT responsible for generating corresponding point-based shape models from sets of binary anatomical regions of interest (ROIs). It forms the foundation for much of SlicerSALT’s subsequent analysis and is one of our most widely used tools. Originally, the concept behind SPHARM-PDM focused on establishing a one-to-one mapping between a 3D […]

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 […]