Stratasys completes US rollout of RadioMatrix 3D-printed imaging support material
Healthcare

Stratasys completes US rollout of RadioMatrix 3D-printed imaging support material

The technology is intended to support imaging-based training, protocol optimisation and surgical planning

  • By IPP Bureau | December 04, 2025

Stratasys has announced the full US commercialisation of its RadioMatrix technology, a radiopaque 3D-printed material designed to create ultra-realistic anatomical models for CT and X-ray imaging. The company says RadioMatrix is the first 3D-printed material to offer fully tunable radiopacity, enabling clinicians to produce patient-specific phantom models with customised visibility across X-ray–based modalities.

The technology is intended to support imaging-based training, protocol optimisation and surgical planning by offering a more controlled and repeatable environment for research. According to Stratasys, RadioMatrix can replace traditional phantom solutions and reduce reliance on cadavers, providing highly accurate, scalable alternatives that better reflect individual patient anatomy.

Erez Ben-Zvi, Vice President of Healthcare at Stratasys, described the nationwide rollout as “a major step in advancing imaging education and training,” adding that the technology offers radiologists and device manufacturers unprecedented control in producing radiographically accurate models.

In February 2025, Stratasys and Siemens Healthineers released data from a joint study demonstrating that RadioMatrix-based phantoms could closely replicate human tissue in CT imaging, with deviation in key regions—such as grey matter and veins—reported in the single-digit Hounsfield units.

The collaboration also showed that these anatomically faithful, radio-accurate models can preserve fine structural details and patient-specific pathological variations.

Siemens Healthineers integrated its imaging algorithms with Stratasys’ material to enhance CT protocol validation and accelerate the development of next-generation imaging tools for more precise diagnosis and treatment planning.

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