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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 […]

We’re excited to announce our participation in the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, happening February 28 - March 4 in Tucson, Arizona! As a premier international event for computer vision enthusiasts and professionals, WACV highlights groundbreaking AI research, innovative applications, and a wealth of knowledge through its main conference, co-located workshops, and tutorials. Be sure to visit us at...

Open source software has revolutionized the way we build, innovate, and share technology. Yet, despite its widespread adoption, one stubborn myth persists: If you're using open source tools, you're on your own. But this couldn't be further from the truth. In fact, the open source ecosystem is teeming with resources designed to support users at every level—from beginners to experts. Whether you’re looking for...

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, […]

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...

Summary Advancing AI in medical imaging requires an annotation platform capable of securely connecting to existing dataset storage systems. A web-based, self-hosted solution ensures that sensitive medical data remains protected within a team’s existing infrastructure. Challenges Facing Medical Image Annotation Projects Medical image researchers face significant challenges securely accessing and managing datasets, navigating strict compliance […]

Kitware is pleased to be hosting a 3D Slicer Hackathon! Join us virtually to get hands-on experience contributing to Slicer, receive guidance, and improve your development skills. You will have the opportunity to collaborate with fellow Slicer developers, discuss ideas, and gain insights from experienced contributors.