My research is focused on the intersection between physics, engineering and medicine, with the aim to develop and deploy new technology and methods to enhance the diagnostic capabilities of magnetic resonance imaging (MRI) and open new windows of opportunity for MR as research tool to study the human body and the diseases that affect it.
Active research areas include:
- Magnetic Resonance Fingerprinting (MRF), is new framework for rapid multi-parametric quantitative imaging in MRI. Quantitative MRI has long been explored as a means of isolating parameter combinations indicative of particular pathologies. Most previous attempts at quantitative MR have resulted in either time consuming or in accurate methods. MRF, on the other hand, introduces a new way of acquiring and analyzing MR data, which promises to be both more robust and faster than previous methods.
- Quantitative MRI facilitates a direct comparison between subjects and measurements performed on different systems. When done in a robust way, it could help better differentiate various pathological conditions, avoid system dependent bias factors in longitudinal studies, and improve therapy monitoring.
- Parallel transmission offers a mechanism to mitigate radiofrequency (RF) excitation field non-uniformities in MRI (magnetic resonance imaging). Thus, allowing more robust imaging in challenging situations, such as ascites patients, as fetal imaging, and near orthopedic implants. In addition, it provides a framework that enables localized excitations, which allow the user to “zoom-in” on isolated areas.
- Ultra-high field MR systems provide a larger signal to noise ratio, which can be leveraged to obtain higher resolution images. In addition, the RF wavelength is reduced, spectral components are more separated, T1 relaxation times elongated, T2 relaxation times reduced, and T2* effects more pronounced. Depending on the application, each of these effects can be an advantage or a challenge.
Assistant Professor, Department of Radiology
PhD from Paris-Sud University
Inverse problems. 2018 SEP; 34:?-?
Magnetic resonance in medicine. 2018 Aug 19; 80(2):822-832
Magnetic resonance in medicine. 2018 Mar 23;
Magnetic resonance imaging. 2017 Dec 24; 49:32-38
Magnetic resonance imaging. 2017 Nov 08; 46:56-63
NMR in biomedicine. 2017 May 12; 30(5):
Magnetic resonance in medicine. 2017 Mar 5; 79(1):83-96
2017 International Conference on Electromagnetics in Advanced Applications (ICEAA). p.1624-1627. (2789932)