This project, entitled Smart Autonomous Imaging, develops a novel methodological approach at the confluence of AI and advanced MRI physics to take a step forward towards individualized disease and treatment pattern prediction: Shifting the imaging from traditionally sequential and isolated sequential contrasts to a real-time AI-guided multi-modal imaging approach providing the information suited to identify and investigate patterns of interest reflecting the complex and multifactorial nature of most biological, developmental and pathological processes
Fetal MRI - characterized by the unvoluntary and unpredictable motion of the growing fetus and by fascinating changes across a short amount of time - is a prime example for this new paradigm of MRI exam. We have developed a pipeline allowing AI-guided planning, real-time analysis and quantification of fetal growth across the second half of pregnancy.
