Stratasys and Siemens Healthineers Forge Strategic Partnership in Breakthrough Medical Imaging Research

Tuesday, November 28, 2023

Stratasys, a prominent figure in polymer 3D printing and additive manufacturing solutions, has recently announced a strategic partnership with Siemens Healthineers. This collaboration aims to conduct an innovative research project focused on the development of cutting-edge solutions to advance medical imaging phantoms, specifically for computed tomography (CT) imaging.

CT phantoms, critical tools in medical imaging used worldwide, are specialized devices designed to assess and ensure the performance of CT scanners. These devices simulate certain human body characteristics, allowing for the evaluation of core metrics such as radiation dose and image quality. This aids in calibration and ensures consistent scanner performance.

The joint effort leverages Stratasys' PolyJet™ technology and its unique RadioMatrix™ technology, combined with Siemens Healthineers' advanced algorithm. The goal is to translate scanned patient images into specific material characteristics with the radiopacity of human anatomy. This innovative solution will enable tailored phantom manufacturing and the creation of ultra-realistic human anatomy characteristics with complete radiographic accuracy, a feat not achievable before.

This collaborative project has the potential to revolutionize the utilization of phantoms in the medical field. In certain cases, it may even allow device manufacturers and academic facilities to replace human cadavers with 3D printed structures. This capability enhances efficiency and minimizes human variability.

Additionally, the research will generate a valuable body of data, offering insights for advancing CT system algorithms, driving materials development, and identifying potential new application areas. The initial focus involves manufacturing 3D printed phantoms for smaller-scale anatomies, progressing to larger and more complex anatomies. The ultimate goal is to 3D print a heart model and an entire human torso with complete radiographic accuracy. The knowledge gained from this project represents a significant breakthrough in medical imaging, paving the way for new possibilities in 3D printing and imaging applications.