The laboratory is developing MRI image acquisition and reconstruction techniques. These developments aim to improve image quality, spatial and temporal resolution, and extract new diagnostic information for organ and tissue characterization. In particular, we are developing methods to correct for blurring and artifacts caused by patient movement during acquisition.
Non-rigid motion corrected reconstruction: example in breast MRI
Real-time image reconstruction system for routine clinical use
Super-resolution reconstruction of cardiac muscle fiber orientation
Collaborators
Siemens Healthineers, Neurospin (Orsay), University of Vienna (Austria)
Funding
- MOSAR project (ANR PRC 2022-25)
- BraCoil project (ANR PRCI France-Austria, 2017-21)
Selected papers
- Feasibility of online non-rigid motion correction for high-resolution supine breast MRI. Magn Reson Med. 2023 Jun 28. doi: 10.1002/mrm.29768.
- A hardware and software system for MRI applications requiring external device data. Magn Reson Med. 2022 Sep;88(3):1406-1418. doi: 10.1002/mrm.29280. Epub 2022 May 4. PMID: 35506503
- Isotropic 3D cardiac cine MRI allows efficient sparse segmentation strategies based on 3D surface reconstruction. Magn Reson Med. 2018 May;79(5):2665-2675. doi: 10.1002/mrm.26923. Epub 2017 Oct 2.
- In Vivo Super-Resolution Cardiac Diffusion Tensor MRI: A Feasibility Study. Diagnostics (Basel). 2022 Mar 31;12(4):877
- Isotropic Reconstruction of MR Images Using 3D Patch-Based Self-Similarity Learning. IEEE Trans Med Imaging. 2018 Aug;37(8):1932-1942. doi: 10.1109/TMI.2018.2807451. Epub 2018 Feb 19.
- Joint Reconstruction of Multiple Images and Motion in MRI: Application to Free-Breathing Myocardial T₂Quantification. IEEE Trans Med Imaging. 2016 Jan;35(1):197-207. doi: 10.1109/TMI.2015.2463088. Epub 2015 Jul 30