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).
Correction of MRI-induced noise; QRS morphology analysis in interventional electrophysiology
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 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
EU FP7 Marie Curie programme, 2014-2017 Involvement : Partner; Leader of WP 3 (Cardiac MRI) Main collaborators : Technical University Munich, General Electric Global Research Center Munich Description : Within the BERTI project, we are developping novel MRI acquisition, reconstruction and post-processing techniques to improve the workflow of cardiac MRI.