Benoit Scherrer

I am currently an Assistant Professor at the Computational Radiology Laboratory at Children's Hospital Boston, Harvard Medical School.

My research goal is to develop novel medical imaging technologies to improve our understanding of the brain and particularly of brain changes in disease and injuries. My research is driven by the motivation to overcome the current limitations of diffusion-weighted magnetic resonance imaging (DW-MRI) to enable fast high spatial resolution characterization of brain tissues in routine clinical practice. To do so, I focus on jointly considering the image acquisition process and processing, with the goal of combining both image acquisition advances and novel analysis methods.

I completed an engineering degree in Applied Mathematics and Computer Science in Toulouse University (France), a MS degree in Image Analysis, Vision and Robotics from the Grenoble University (France) and received my Ph.D. degree in Applied Mathematics and Computer Science from Grenoble University in December 2008. During my Ph.D., I focused on anatomical MRI analysis and, more precisely, on brain image segmentation. An important contribution developed in my thesis was the formulation of the notion of ‘collaborative computing’ in a unified and theoretically sound Bayesian framework. This work was awarded by the Young Investigator Award’’ at MICCAI’08 in New York and by theBest PhD in Applied Mathematics’’ price of INPG Grenoble University in 2009.

I joined to the Computational Radiology Laboratory (CRL), directed by Dr. Simon K. Warfield in January 2009. I chose to shift my main research focus from anatomic MRI analysis to diffusion-weighted MRI. My research at the CRL has been focusing on novel models to characterize the brain white matter in DW-MRI and on innovative approaches to accelerate the acquisition of DW images and to increase the imaged spatial resolution. My research was awarded by a Trainee Abstract Award at HBM2011, two Magna Cum Laude Merit Award at ISMRM2012 and the Elsevier/MEDIA Best Paper Award 2012.

Education

• Master's Degree Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble (2004 — 2005)
• Engineer's Degree Université de Montréal - Ecole polytechnique de Montréal (2003 — 2004)
• Engineer's Degree ENSEEIHT - Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et des Télécommunications (2001 — 2003)