Concept
Functional imaging
Personnes associées (33)
Jean-Philippe Thiran
Jean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Lijing Xin
Lijing Xin is a research staff scientist and 7T MR Operational Manager at the Center for Biomedical Imaging (CIBM), Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. Her research interests focus on developing cutting-edge magnetic resonance spectroscopy and imaging methods for better understanding the brain function and the pathophysiology of neurological diseases. Her journey on magnetic resonance imaging (MRI) started from her master project during 2002-2005, where she developed a gradient unit with eddy current compensation and a pulse sequence generator for MRI spectrometer, which enhanced her knowledge in MR instrumentation. Later, she obtained her PhD in physics from Ecole polytechnique fédérale de Lausanne (EPFL) in 2010, where she focused on developing various novel 1H and 13C magnetic resonance spectroscopy (MRS) acquisition and quantification methods as well as RF coils on high field preclinical MR scanners. Afterwards, she started working on the clinical MR platforms including both 3 and 7T and continued to improve and develop novel acquisition and quantification methods for 1H, 13C and 31P nuclei. She carries on interdisciplinary collaborations with different partners, particularly with clinical partners where translational strategies are performed to explore the pathophysiology of psychiatric disorders and disease biomarkers for early diagnose and intervention.
Maria Giulia Preti
Maria Giulia Preti received her Ph.D. in Bioengineering at Politecnico di Milano (Milan, Italy) in 2013, after her M. Sc. (2009) and B. Sc. (2007) in Biomedical Engineering, as well at Politecnico di Milano. During her Ph.D., mentored by Prof. Giuseppe Baselli, she focused on advanced techniques of brain magnetic resonance imaging, in particular she developed a method of groupwise fMRI-guided tractography, that revealed to be useful in the in-vivo investigation of the pathophysiological changes across the evolution of Alzheimers disease. For this project, she had been collaborating full-time with the hospital Fondazione Don Gnocchi in Milan (Magnetic Resonance Laboratory). In 2011, she was awarded a Progetto Rocca fellowship from MIT-Italy and spent a visiting research period at the MIT and Harvard Medical School (Boston, USA), under the supervision of Prof. Nikos Makris, where she could focus on the anatomical study of specific neruonal bundles.
She has joined Prof. Van De Ville group at EPFL as a post-doc in 2013. Her current research aims at understanding the connections between brain functionality and brain microscopic anatomy by using advanced techniques of Magnetic Resonance Imaging. In particular, she is working on functional MRI, functional connectivity, diffusion tensor imaging and tractography, integration of MRI with other techniques (e.g. EEG), and the application of these methods to several clinical contexts, e.g., epilepsy, Alzheimer's disease and mild cognitive impairment, multiple sclerosis, attention deficit hyperactivity disorder.