Isaac Shiri, Yazdan Salimi, Mehdi Maghsudi, Elnaz Jenabi, Sara Harsini, Behrooz Razeghi, Shayan Mostafaei, Ghasem Hajianfar, Amirhossein Sanaat, Esmail Jafari, Rezvan Samimi, Maziar Khateri, Peyman Sheikhzadeh, Parham Geramifar, Habibollah Dadgar, Ahmad Bitrafan Rajabi, Majid Assadi, François Bénard, Alireza Vafaei Sadr, Slava Voloshynovskiy, Ismini Mainta, Carlos Uribe, Arman Rahmim, Habib Zaidi
PURPOSE: Image artefacts continue to pose challenges in clinical molecular imaging, resulting in misdiagnoses, additional radiation doses to patients and financial costs. Mismatch and halo artefacts occur frequently in gallium-68 (68 Ga)-labelled compounds whole-body PET/CT imaging. Correcting for these artefacts is not straightforward and requires algorithmic developments, given that conventional techniques have failed to address them adequately. In the current study, we employed differential privacy-preserving federated transfer learning (FTL) to manage clinical data sharing and tackle privacy issues for building centre-specific models that detect and correct artefacts present in PET images...
September 8, 2023: European Journal of Nuclear Medicine and Molecular Imaging