ST-XR (Stereoscopic X-Ray) is a medical imaging acquisition technique that generates three-dimensional stereoscopic information using conventional X-ray equipment. The system is based on the acquisition of two standard radiographic projections obtained with a controlled geometric displacement, which are processed and visualized through a dedicated stereoscopic display system, providing perceptual three-dimensional information of the anatomy or lesion under study.
From a clinical and technological perspective, ST-XR is positioned as an intermediate solution between conventional two-dimensional radiography and computed tomography (CT), as it delivers volumetric information without the need for full tomographic examinations or complex computational reconstructions.
A single ST-XR acquisition (stereoscopic pair) provides a binocular three-dimensional representation of the anatomical region of interest, enhancing depth perception, spatial localization, and the understanding of geometric relationships between structures. By acquiring four ST-XR datasets with controlled angular variation, the system is capable of generating a dynamic 360° visualization, offering a diagnostic experience that is visually comparable to that provided by tomographic techniques.
This approach enables a significant reduction in effective ionizing radiation dose, as it requires a limited number of exposures and avoids the multiple axial slices characteristic of CT. In parallel, it substantially reduces the cost per examination by leveraging conventional radiography systems already installed in most healthcare facilities, without the need for dedicated high-cost tomographic equipment.
From a healthcare delivery standpoint, ST-XR supports more agile diagnostic workflows by reducing dependence on the limited availability of CT scanners and highly specialized resources. This contributes to shorter waiting times and improved diagnostic efficiency while maintaining a high clinical value of the volumetric information obtained.
Overall, ST-XR is presented as a practical and scalable medical imaging technology designed to extend the diagnostic capabilities of existing radiological infrastructure. It enables advanced spatial visualization through efficient integration into current clinical workflows, positioning itself as a complementary technology and, in specific clinical scenarios, as an alternative to conventional tomographic examinations.