I have done my PhD under the supervision of Emmanuel Barbier and Thomas Christen, working on the development of new MRI methods for fast multi-quantitative imaging based on the MRI Fingerprint (MRF) methods.

The concept of MRF proposes to reconstruct images by directly comparing in vivo acquisitions and millions of digital simulations that mimic brain tissue (dictionary). This approach is flexible enough to allow access to several MRI parameters simultaneously and to quantify them. As shown in clinical and preclinical studies, when the simulations are based on the physics of NMR (magnetic field, magnetic susceptibility, diffusion, relaxations, etc.) and on biophysics (cellular dimensions and vascular, flow ...), the technique allows the extraction of information on tissue microstructures. These data are essential for the management of patients with acute stroke. Until now, the digital representation of tissues has been based on simple shapes (cells = spheres, blood vessels = cylinders) and the simulation step is time-consuming. In addition, the choice of the 4D sequence is currently based on rough nuclear magnetization trajectories and the comparison step is extremely computer expansive and also time-consuming. Finally, the actual measurements of perfusion and oxygenation parameters are constrained by contrast agent injection.

During my thesis, I developed realistic biophysical simulations coupled with artificial intelligence tools integrated at different levels of the MRF framework to optimize the MRF protocol. I will thus create a tool that can be integrated into a clinical environment and capable of guiding patients more quickly to the appropriate treatments. I work on the development of digital tools that quickly synthesize realistic 3D structures of brain tissue and that fit into an AI-optimized MRF frame. This work will allow the simultaneous measurements of relaxation, perfusion, and oxygenation parameters, without contrast agent injection.

Alongside my thesis work, I also took part in the scientific life around me. I was part of the NeuroDocs, a group of Ph.D. students from my laboratory who organized scientific, festive, and cultural events for the neurosciences lab members.

I was also part of the junior organizing committee for IABM 2024, the first French conference to bring together national players in artificial intelligence for biomedical and medical imaging.