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The MetaN project from the UBRA member institutions University of Bremen, Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM and Fraunhofer Institute for Digital Medicine MEVIS aims to improve the efficiency of magnetic resonance imaging (MRI). The central hypothesis is that the use of metamaterials can achieve an increase in the signal-to-noise ratio, improved image contrast and faster imaging methods without the need for stronger magnetic fields. The metamaterials are to be optimized with the help of AI-supported approaches.
The focus is on developing a method that ensures improved image quality during image acquisition. To this end, dynamically configurable, flexible metamaterials will be developed and tested. These materials are intended to increase imaging efficiency and can be reprogrammed during image acquisition. A particular focus is on the development and testing of prototypes that are optimized using AI and validated in various test series.
For patients, this means potentially faster and more accurate MRI examinations with better image quality. This could lead to more precise diagnoses and shorter examination times, increasing patient acceptance and comfort. In the long term, the new technology could help to improve the spread and accessibility of MRI technologies worldwide and reduce costs.