In this blog post, we demonstrate the central role of scientific visualization in Digital Twins, and how Kitware’s solutions like ParaView or LidarView can bring powerful capabilities with real-time processing of large data, including running AI-based surrogate models for complex predictions. Scientific Visualization at the core of Digital Twins The term “Digital Twin” may correspond […]

ITK 5.4.4

June 16, 2025

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

CMake 4.0.3 available for download

CMake 3.31.8 available for download

Data interoperability is a fundamental challenge in scientific computing environments. As researchers work with increasingly complex datasets, the ability to move seamlessly between specialized tools for data manipulation, analysis, and visualization becomes essential for efficient scientific workflows. Without effective interoperability, researchers often spend valuable time on format conversions rather than analysis and discovery.

Figure 5: Xarray preview viewer running as standalone with the eraint_uvz dataset from the Xarray tutorial using remote rendering.

[CMake 4.0.2 available for download

The SlicerSALT team is pleased to announce the latest release of SlicerSALT, which includes a comprehensive set of updates and advanced features aimed at enhancing the capabilities of shape analysis research. Version 6.0, now available for download, introduces exciting new functionality detailed below. The SPHARM-PDM codebase underwent a major overhaul of its C++ codebase, prompted […]

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?

AutoscoperM Hierarchical 3D Registration in Action: AutoscoperM’s Hierarchical 3D Registration extension for 3D Slicer automates six-DOF rigid alignment of skeletal anatomy. In this example, tracking a metacarpal bone across a 3D CT sequence. It defines ROIs around each bone, registers the root node first, then propagates optimized transforms through the anatomical hierarchy for accurate motion and kinematic analysis.

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, projects can gain insight into build performance over time, across teams or CI systems. Instrumentation hooks allow integration with third-party tools by supporting user-defined callbacks, making it easy to extend and customize the data collection pipeline.

Visualization of CMake’s own test suite running. Generated using CMake Instrumentation data

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 […]

CMake 4.0.0 available for download

The fifth CMake 4.0 release candidate!

The fourth CMake 4.0 release candidate!

The third CMake 4.0 release candidate!

The second CMake 4.0 release candidate!

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.

Group photo of many people

The first CMake 4.0 release candidate!

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 powerful open source data orchestration tool, to manage our data pipelines.

3D views of femoral cartilage (FC) thickness mapped to canonical mesh