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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 […]

This is the second in a two-part series covering some of the improvements to the CAVEInteraction plugin that have come out of Kitware’s recent collaboration with the National Institute of Standards and Technology (NIST).   The first post discussed the benefits of writing your own custom Python interactor styles for the CAVE. In this installment, […]

This blog serves as a follow-up to our previous blog on confidently navigating Software as a Medical Device (SaMD) product development. In that blog, we explored the foundational principles and challenges of SaMD development. Here, we focus on the tools and processes we employ to ensure the development of high-quality AI components as part of SaMD products. Our approach leverages advanced open source tools and rigorous engineering practices, helping organizations build AI pipelines that meet FDA and clinical requirements.

ITK 5.4.0 has been released!

CMake 3.31.4 available for download

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. The ITK Maintenance Hackathon aims to bring together ITK developers and new users to learn how to use ITK tools for scientific image processing. Our goal is to make comprehensive improvements across the entire ITK ecosystem. Why Attend? […]

This is the first in a two-part series of posts describing recent improvements to the CAVEInteraction plugin.  As it’s the first, some introduction and background about the plugin is warranted. CAVEInteraction Plugin The CAVEInteraction plugin has been included with ParaView for many years, although prior to ParaView 5.11.0 it was named VRPlugin.  The name was […]

Ten years ago, I wrote this series of blogs introducing a (then) new way of interfacing VTK and NumPy. In the first blog, I had a teaser that I then expanded on: Over the last year, we have introduced a simpler and more pythonic interface. As of VTK 9.4, the code above can be expressed […]

This is a guest blog post from Jonathan Windgassen and Jens Henrik Göbbert, both developing the software stack at the Jülich Supercomputing Centre in Germany. They have agreed to share with us the integration of trame, jupyter lab and ParaView to ease the life of their scientists. As a bonus they include the code to […]

CMake 3.31.2 available for download

As 2024 comes to a close, we want to take a moment to reflect on a year marked by remarkable achievements and technological strides at Kitware. From transforming environmental monitoring to advancing medical research and training, Kitware’s collaborative efforts have resulted in innovative solutions that positively impact our partners and community. This article highlights some of our most impactful projects and open source tools in 2024 and demonstrates our commitment to solving real-world challenges with cutting-edge technology in the years to come.

The Visualization Toolkit (VTK) release planning team is happy to announce that v9.4.0 is now available.  For source, data, documentation, and Python wheel packages, please visit the VTK download page. Detailed release notes are published at https://gitlab.kitware.com/vtk/vtk/-/blob/v9.4.0/Documentation/release/9.4.md Although this is a minor release, many enhancements have been made since v9.3.1. Some of the changes are […]

CMake 3.30.6 available for download

In the world of computational simulations, efficiency and flexibility are crucial. Kitware's open source platform, Computation Model Builder (CMB), is designed to streamline every step of the simulation process, from setting up models to analyzing results. As an example, while OpenFOAM remains a powerful tool for computational fluid dynamics (CFD), integrating it with CMB elevates productivity by providing an intuitive, flexible workflow. With CMB, users can efficiently manage complex simulations, automate tasks, and make adjustments on the fly, all within a cohesive interface. This synergy allows engineers and researchers to focus more on innovation and less on the technical hurdles, ensuring that high-quality modeling doesn't come at the cost of time or ease of use.

As technology advances, it is essential to stay current with industry-standard tools and methodologies. Kitware’s training courses provide developers, researchers, and engineers with hands-on, expert-led instruction in our popular open source platforms. Whether you’re looking to grow your skillset or efficiently leverage new tools, Kitware’s winter courses offer valuable insights and practical experience. And by signing up early, you can save more than $200 on your registration. Spots fill up quickly, so don’t wait!

Following a recent CC-FR webinar High fidelity simulations with OpenRadioss™ & ParaView by Altair and Kitware, this blog post describes an example of workflow to post-process OpenRadioss results with ParaView. OpenRadioss is a free, publicly available FEA software for simulation of impact, shock and highly dynamic events, actively developed by Altair.  The example data is […]

LidarView: One software to read and process them all!  We’ve added to LidarView several new LiDARs from different manufacturers. They can be used in the same way, regardless of the model, to visualize live streams, replay .pcap records and running algorithms. You can even open two different LiDARs at the same time! Here is a […]

As the demand for analyzing vast amounts of geospatial data continues to grow, artificial intelligence (AI) plays a critical role in accelerating this process. Developing AI capabilities requires tools to visualize and validate results, as well as to create annotations that further improve AI models. RDWATCH is one of the latest technological developments in this area—an advanced cloud-ready system designed to streamline machine learning workflows for monitoring, annotating, and visualizing geospatial and georeferenced data.