Researchers from the Fraunhofer Institute for Digital Medicine MEVIS will present the latest technologies aimed at optimizing clinical workflows and improving patient care at the annual meeting of the Radiological Society of North America (RSNA 2025), held from November 30 to December 4 in Chicago.

With innovative software solutions for radiology, researchers at Fraunhofer MEVIS support physicians, medical institutions, and companies in digital medicine. At RSNA 2025, they are presenting the following solutions that optimize the radiological workflow and lead to better outcomes.

gammaSTAR: Hardware-agnostic MRI Pulse Sequences

gammaSTAR represents the next step in the development of MRI pulse sequences and provides a universal format that is compatible with different MRI models, software versions and vendors. Our solution eliminates reliance on scanner-specific sequences, enables seamless integration and accelerates the transfer of MRI technology into clinical settings. The integration of gammaSTAR saves time and costs in clinical workflows by enhancing MRI compatibility and minimizing manual sequence adjustments and interaction. In large imaging studies, gammaSTAR helps maintain consistency across multiple devices. 

AI-Guided Table Positioning with Depth Sensing

Our solution streamlines MRI/CT acquisition by automatically positioning the patient table using real-time depth sensing. From a single 2D depth camera image, our AI-model accurately infers 3D locations of more than 50 organs like the liver, lungs, heart, kidneys and vertebrae. This capability guides scouts, centers fields of view, and enables significantly reduced setup time and rescans. Trained on a large whole-body MRI cohort of around 10,000 cases, our model generalizes to any body type without contact or radiation. It delivers robust, centimeter-scale localisation and immediate visual feedback. This ensures faster and more consistent imaging workflows – reducing manual effort and rescans for radiology staff while providing patients with shorter, safer, and more comfortable scans.

CuraMate

CuraMate (formerly known as SATORI) is a versatile toolkit for processing and analyzing medical images, from CT and MRI to ultrasound. What makes it stand out is its collaborative power: researchers, clinicians, and professionals from pharmaceutical companies can jointly annotate image structures, track changes, and train AI models. “A Swiss Army knife is maybe a good description of CuraMate. It’s so versatile and can be customized to a large degree,” says Fraunhofer MEVIS researcher Hans Meine. From tumor follow-up in oncology to interactive 3D teaching tools, CuraMate drives data-driven science forward, making AI-powered medical research more efficient, collaborative, and insightful. CuraMate supports the following key use cases:

CuraMate ReaderStudies is a streamlined platform for structured medical image annotation and reader studies. It offers customizable annotation forms, intuitive contouring, and automated segmentation. It is designed to guide multiple users through clearly defined workflows, ensuring consistent, high-quality data while reducing errors. Seamless AI integration supports training and inference directly within the platform.

CuraMate Education is an interactive medical education platform that delivers advanced skills training through hands-on annotation, segmentation, and quantification of multimodal medical images. It integrates seamlessly with existing educational solutions, offers configurable workflows, and provides cloud-based access for scalable, browser-ready deployment.

CuraMate AI Development supports medical imaging AI development project through seamlessly integrated, highly customisable data curation. Strong guidance enhances data quality, enabling robust AI products.

Come to our booth at RSNA 2025 and see for yourself!

You are invited to meet us at South Hall, Level 3, Booth #2709.