P125: Advanced and generalized deep learning reconstruction methods for QSM in the presence of fat
FAU own research funding: EFI / IZKF / EAM ...
Start date : 01.01.2024
End date : 31.12.2024
Extension date: 30.06.2025
Project details
Scientific Abstract
Using advanced deep learning techniques based on synthetic training data, MRI reconstruction methods for quantitative susceptibility mapping (QSM) will be designed and optimized for anatomical regions outside the brain. The neural networks will be generalized for different parameters, such as magnetic field strength, and tested in the prostate, knee, and breast in volunteers and compared against conventional methods.
Involved:
Contributing FAU Organisations:
Professur für quantitative MR-Bildgebung
Interdisziplinäres Zentrum für Klinische Forschung (IZKF)
Medizinische Fakultät
