CardioMRI Symposium: From MR Physics and Novel Hardware to Artificial Intelligence

20.07.2023 [/] 08:30 - 18:00
  • René Botnar, King's College London/UC
  • Marcus Makowski, Technical University Munich
  • Jeanette Schulz-Menger, Charité Berlin
  • Anastasia Fotaki, Royal Brompton Hospital, London, UK
  • Reza Hajhosseiny, King’s College London, UK
  • Qiang Zhang, University of Oxford, UK
  • Karl Kunze, Siemens Healthineers, London, UK
  • Mariya Doneva, Philips Research Hamburg
  • Claudia Prieto, UC/KCL, Chile/UK
  • Adrienne Campbell-Washburn, NIH, USA
  • Daniel Rückert, Technical University Munich
  • Florian Knoll, University of Erlangen
  • Julia Schnabel, Technical University Munich
  • Declan O´Regan, Imperial College London, UK



University Hospital rechts der Isar
Hörsaal B, Ismaninger Str. 22 (via Einsteinstraße)
81675 Munich/Germany


Currently, cardiac MR (CMR) is considered a highly complex and rather expensive imaging exam that requires highly trained MR technicians and clinicians, and which is mainly performed in very specialised settings in tertiary academic hospitals.

The proposed workshop will discuss how latest developments in artificial intelligence (AI), MR acquisition/reconstruction and low-field MRI in combination with knowledge gained from large CMR clinical trials/biobanks could turn CMR into an easy-to-use and affordable mainstream imaging modality like computed tomography. More specifically we will discuss how latest developments in MR physics, motion correction and image reconstruction can be harnessed to enable a self-driving CMR examination (no planning, no breath holds) that provides comprehensive disease characterisation in a short, less than 10 minutes scan. We will then discuss how AI can enable automated image acquisition, reconstruction, processing, and analysis and create automated diagnosis and treatment planning. To get a better understanding where CMR could play an increasing role in the patient pathway we will discuss lessons learned from large clinical trials/biobanks. Finally, we discuss the potential of AI in replacing the use of gadolinium.

Link for registration


Please note: Event will be hold in English


Please view more about the programme in the flyer attached

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