Fraunhofer MEVIS develops real-world software solutions for computer-aided medicine, bridging between medical imaging, image-guided therapy, and healthcare informatics – bringing benefits to patients, customers and partners.
SAFIR supports the whole interventional workflow from planning to assessment utilizing segmentation, registration, simulation, optimization and visualization methodology. To facilitate fast deployment of new applications targeted at specific clinical questions or scientific projects, SAFIR is designed as a modular framework, which allows for re-using information processing methods and customization of algorithms.
CaFuR enables cardiac diagnosis with real-time MRI. It consists of an accelerated MRI acquisition and a complete software solution for automated analysis.
One of the world’s most important conferences in the field of computer assisted radiology and surgery, CARS 2018, will take place from June 20 to 23 in Berlin. The Fraunhofer Institute for Medical Image Computing MEVIS in Bremen will make an essential contribution to one of the conference’s key topics: How can minimally invasive heart procedures be performed more effectively and patient-friendly with the help of modern data and image processing algorithms?
On June 5, the Fraunhofer-Gesellschaft will present Taiwanese artist Yen Tzu Chang in the scope of the “Science and Art in Dialog” event series in Berlin. She created a performance entitled “Whose Scalpel” during her artist residency at the Fraunhofer Institute for Medical Image Computing MEVIS. In a subsequent open discussion, Institute Director Horst K. Hahn and Ars Electronica Artistic Director Gerfried Stocker will explore complexity as a term and its possible ramifications for our society.
Algorithms for liver surgery – performing operations more safely worldwide
Four complex, interwoven vascular systems pass through the liver. Surgically removing tumors is therefore often a great challenge. The Fraunhofer Institute for Medical Image Computing MEVIS has developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.
Fraunhofer Institute for Medical Image Computing MEVIS