Reconstruction of electrical property maps (conductivity and permittivity) by MRI. Also see the ELECTRA project.
Correction of MRI-induced noise; QRS morphology analysis in interventional electrophysiology
Motion-compensated image reconstruction (joint optimization of image and motion) in MRI and PET; reconstruction from undersampled data in MRI (parallel MRI, compressed sensing); multi-contrast MRI; super-resolution MRI.
Non-rigid image registration; vectorial denoising; sparse segmentation; model fitting (spatially regularized Levenberg-Marquardt optimization).
Quantitative cardiac MRI (T1, T2 mapping, cardiac function assessment etc…); bowel motility assessment by dynamic MRI; breast cancer detection/characterization by MRI; study of cardiac remodelling in post-infarct patients; catheter ablation of ventricular tachycardia; prediction of the risk of ventricular tachycardia from MRI.
French ANR programme – Enterprise-academia collaboration (2021-25) Involvement : Principal investigator Academic collaborators : ICUBE (Strasbourg), LMR (Reims), CIC-IT (Nancy) Enterprise collaborator : Healtis (Nancy) Description : Knowledge of the electrical properties (EP, conductivity and permittivity) of human tissues is required to estimate, by numerical simulation, the heating of tissues during an MRI examination in
French ANR programme – International collaboration, France-Austria (2017-21) Involvement : Leader of WP4 (Motion-compensated reconstruction) Main collaborators : University of Vienna (Austria), IR4M (Orsay) Description : BraCoil aims at developping new hardware and software tools to improve MR mammography. Bra-shaped flexible MRI coils are being developed (Vienna and IR4M partners) to improve the signal-to-noise ratio
French RHU programme, 2016-2021 Involvement : Partner ; Leader of WP 3.2 (Cardiac tissue characterization by MRI and electro-imaging) Main collaborators : CIC Nancy, Schiller Médical, LIRYC (Bordeaux) Description : Within the FIGHT-HF project, we are investigating novel cardiac tissue characterization techniques in order to identify imaging biomarkers for heart failure. We are also developing
EU Eurostars programme, 2016-2018 Involvement : Partner Main collaborators : Peacs (Netherlands), Schiller AG (Switzerland), Radboud University (Netherlands), University Hospital of Basel (Switzerland), Lucern University (Switzerland) Description : Within the ALVALE project, we are investigating ways to select a model of the patient conducting model for electrocardiographic imaging (ECGI). ECGI aims at reconstructing cardiac activation