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ITK 5.4.4 has been released with a round of bug fixes, documentation updates, and improve platform support.

I've been thinking a lot about how Kitware has grown over the years. In 1998, we started the company with the vision of creating a sustainable business model around the open source Visualization Toolkit (VTK). Since then, we have expanded from the original five founders to over 200 employees with a worldwide presence, with expertise in the following areas: Computer Vision, Scientific Computing, AI and Machine Learning, Software and Data Engineering, and Medical & Biomedical Systems. We are actively looking to expand into new adjacent areas by expanding the Kitware team.

Kitware is proud to participate in the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), one of the premier conferences for cutting-edge research in computer vision and machine learning. This year, Kitware’s leadership in the community is reflected through key service roles that help shape the conference itself. We’re also contributing original research and sharing practical tools that support real-world AI development. As always, our commitment to open science and collaborative innovation will be on full display at our booth (visit us at Booth 1617!) and in our technical sessions.

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.

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 […]

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 […]

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 […]

The ITK Maintenance Hackathon held on January 23, 2025 brought together a passionate community of developers, researchers, and contributors to collaboratively enhance the Insight Toolkit (ITK). This event was a testament to the power of open-source collaboration, showcasing the shared commitment to improving ITK’s functionality and advancing its impact on scientific computing.

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!

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? […]

Kitware proudly announces the promotion of 24 team members whose exceptional work continues to drive innovation and impact across a variety of fields. These advancements highlight Kitware's commitment to fostering talent and expertise across its teams.

Kitware is a leader in medical imaging solutions. We provide state-of-the-art technology for a diverse range of needs in healthcare. Whether you are an engineer, a product manager, or a marketing strategist at a major medical device company—or even a budding startup—Kitware’s expertise and tools will accelerate your product development and deliver superior outcomes. Transformative […]

We are excited to announce the 4.3 VolView release, which brings new annotation, segmentation, and VolView customization features. Try the completely client-side live deployment now! VolView is an open source permissively licensed radiological viewer developed for clinical professionals and researchers. With VolView, you can have a deeper visual understanding of your data through interactive, cinematic […]

The Chief Digital and AI Office (CDAO) helps to accelerate the adoption of data, analytics, and AI across the Department of Defense (DoD), enabling decision advantage from the boardroom to the battlefield. One of CDAO’s first outputs was a Data, Analytics, and AI Adoption Strategy, which helped set a vision for the responsible use of AI across the DoD, in accordance with the DoD’s ethical AI principles. AI assurance is a critical part of developing responsible AI, which requires the development of processes and tools for testing, evaluation, validation, and verification of AI. However, the current landscape of DoD test and evaluation is quite fragmented, where different programs develop their own tools with limited guarantees of software interoperability or maturity.

Kitware, a leader in advanced artificial intelligence (AI) and computer vision, is proud to announce the award of a $2.2 million contract for Phase II of the Chief Digital and AI Office’s (CDAO) Joint AI Test Infrastructure Capability (JATIC) program. The new contract extends Kitware's work on developing and enhancing tools that support responsible AI adoption across the Department of Defense (DoD).

Investigating new approaches to improve the performance of ITK filters. By leveraging Halide’s unique approach to optimizing image pipelines, we can significantly enhance the performance of ITK operations, making workflows faster and more scalable.

Understanding the structural differences in neuroimaging datasets is key to discovering insights into brain-related diseases and conditions. Traditional approaches like voxel-based morphometry (VBM) have paved the way for quantitative brain analysis, but new methodologies can uncover even more profound insights. One such method is Unbalanced Optimal-Transport Based Morphometry (OTM), which detects regional and global changes […]