TRUSTWORTHY AI FOR MRI SAFETY AND CONDUCTIVITY MAPPING AS NOVEL CANCER BIOMARKER.
Quantitative MRI (qMRI) techniques are the foundation of a paradigm change in MRI imaging, as they provide objective tissue parameters to be used as imaging biomarkers. This projects focuses on tissue conductivity, a property of biological tissues measurable with MRI.
Tissue conductivity a a property has the potential to distinguish healthy tissue from pathological tissue (for example cancerous tissues) and may allow non-invasive assessment of cellular viability in response to therapy much earlier than clinical, qualitative MRI methods. This conductivity mapping helps with better and objective characterization of pathologies. Furthermore it results in shorter, thus cheaper MRI examinations; as few qMRI images may be sufficient in diagnostic settings instead of long qualitative MRI exams. It also facilitates precise and personalized treatments.
Project: Trustworthy AI for MRI safety and conductivity mapping as novel cancer biomarker
Alexander Raaijmakers (TU/e), Riccardo Levato (UU), Stefano Mandija (UMC Utrecht), Nico van den Berg (UMC Utrecht), Ettore Flavio Meliado (UMC Utrecht)