Visitors Talk: Thomas Christen, Grenoble Institute for Neurosciences

Abstract

The Magnetic Resonance Fingerprinting (MRF) framework allows measurements of several tissue properties simultaneously with a single fast and efficient MR sequence combined with precomputed MR signal simulations (dictionary approach). Despite the initial focus on relaxometry estimates, the method is not limited to a single excitation pattern nor the measurement of the transverse or longitudinal relaxation times only. It is theoretically possible to quantify any tissue property, as long as the MRF sequence is sensitive to the parameters of interest, provides different fingerprints for different tissue properties, and that the MRF simulations are realistic enough to capture the signal variations.

Over the last decade, we have explored the potential of MRF to quantify brain microvascular structures and function by combining Blood Oxygen Level Dependent (BOLD)- sensitive sequences with biophysical simulations based on ex vivo 3D high-resolution microscopy data. In this talk, we will present an overview of key vascular MRF studies, emphasizing advancements in geometrical models for vascular simulations, novel contrast-free sequences, and advanced reconstruction techniques. We will discuss both preclinical and clinical applications, as well as the possibility to extend the analysis to standard brain MR exams.