MetaN: AI-driven, reconfigurable metamaterial imaging technology for MR

The aim of the AI Center for Health Care project MetaN is to improve the efficiency of MR imaging by using flexible metamaterials that are dynamically optimized using artificial intelligence methods.

From left to right: Valeria Lazzoni, Johannes Mueller, Marc-Oliver Becker.   © Shanice Allerheiligen / U Bremen Research Alliance

Principal investigators

© Dennis Philipp
© Fraunhofer IFAM

Dr. Sebastian Boris Hein

Head of the Powder Technology Department at Fraunhofer IFAM

 

Beteiligte Institutionen

Fraunhofer Institute for Manufacturing Technology and Advanced Materials
Fraunhofer Institute for Medical Image Computing
Universität Bremen