Alessandro Sbrizzi / Stefano Mandija

UMC Utrecht

In short, Sbrizzi's and Mandija's reserch entails the following:

Physics-informed Neural networks to standardize brain MRI: boosting AI applications in gliomas and meningiomas

In the field of magnetic Resonance (MR) imaging for brain tumors, a plethora of AI tools for tumor grading and contouring is theoretically available. However, these tools are trained on qualitative MRI images acquired with specific imaging settings, hence they work only when the same imaging settings are used. To overcome this limitation, we propose a technique which standardizes MRI data across systems, software, and imaging settings. Our novel MRI standardization technique will augment the MRI data training sets to enhance AI tools in the field of rare brain cancers such as meningioma and gliomas, where large standardized datasets are, at the moment, not available.