Dr. Guerin’s research focuses on MRI (and to some extent PET) technology development and translation to neuro-imaging to help better understand the human brain. He has several areas of specialization:
(i) Modeling and optimization of radio-frequency (RF) and gradient MR sub-systems. Dr. Geurin’s postdoctoral work focused on modeling of RF coils, especially parallel transmission (pTx) coils whereby nuclear spins are excited using several transmit channels as opposed to a single one (transmit phased array). He also developed methodology for the design of pTx RF pulses at low and large flip-angle with explicit control for the specific absorption rate, which is the main safety limitation in high duty-cycle MRI sequences. This work is relevant at 3 Tesla, 7 Tesla and will be crucial to the progress of MRI at 11.7 Tesla and higher. Recently, He has been working together with Prof. Lawrence Wald and Mathias Davids on a modeling and design methodology of gradient coils with an intrinsically lower propensity to create peripheral nerve stimulation (PNS). PNS is the main limitation of MRI acquisition speed in fast imaging sequences such as echo planar imaging and turbo spin echo, therefore such new gradient technology has the potential to dramatically improve speed and data acquisition rate in many clinical and research (fMRI, diffusion imaging) applications.
(ii) Neuro-imaging of patients with deep brain stimulation (DBS) implants. Generally speaking, Dr. Guerin is interested in the combined use of neurostimulation strategies and functional imaging methods such as fMRI. Neurostimulation using DBS allows pin-point excitation of the human brain in a very controlled manner and, when combined with fMRI, offers unique brain mapping possibilities. DBS is in itself a fascinating therapy that is poorly understood and holds promise for the treatment of many psychiatric disorders. He uses fMRI to study the mechanisms of action of DBS in patients with
Parkinson’s disease and depression. In addition, he studies the safety aspects of using DBS in the MR RF environment using electromagnetic modeling.
(iii) Iterative reconstruction, quantitative corrections and physics of positron emission tomography (PET). His interest in this area stems from his PhD work on fully 3D, list-mode reconstruction of PET data with corrections for scatter coincidences and non-rigid respiratory and cardiac motion. A central innovation of his work was to incorporate the information carried by the energy of the detected PET photons into the scatter correction process using a statistical model of the coincidence energy blurring incorporated in the likelihood function of the list-mode PET data. Another innovation was the use of tagged-MRI to track complex non-rigid motions due to respiration and cardiac beating and the incorporation of these motion vector fields in the 3D list-mode PET reconstruction.
PhD in Medical Physics, University of Paris VI
1. Guerin B, Gebhardt M, Cauley S, Adalsteinsson E, Wald LL. Local specific absorption rate (SAR), global SAR, transmitter power, and excitation accuracy trade-offs in low flip-angle parallel transmit pulse design. Magn Reson Med. 2014;71(4):1446-57. [April 2014 issue Editor pick]
2. Guerin B, Gebhardt M, Serano P, Adalsteinsson E, Hamm M, Pfeuffer J, et al. Comparison of simulated parallel transmit body arrays at 3 T using excitation uniformity, global SAR, local SAR, and power efficiency metrics. Magn Reson Med. 2015;73(3):1137-50.
3. Guerin B, Villena JF, Polimeridis AG, Adalsteinsson E, Daniel L, White JK, et al. The ultimate signal-to-noise ratio in realistic body models. Magn Reson Med. 2017;78(5):1969-80.
4. Davids M, Guerin B, Malzacher M, Schad LR, Wald LL. Predicting Magnetostimulation Thresholds in the Peripheral Nervous System using Realistic Body Models. Sci Rep. 2017;7(1):5316.
2005: Fulbright fellowship (Arthur-Sachs program)
2006: Ecole Centrale-Harvard University Jean Gaillard Memorial Fellowship
2008: Society of Nuclear Medicine Young Investigator Award (Computer and Instrumentation Council)