IMIS seminar: Accelerated MRI to investigate the human brain's function and its microstructure

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Scientifique

A seminar by Dr. Nadège Corbin

Research Associate and Deputy Head of the Physics team

Wellcome Centre for Human Neuroimaging, University College of London

29 novembre 2019
10h 11h
Amphithéâtre Ruch, Faculté de Chirurgie Dentaire, Hôpital Civil, Strasbourg

Abstract

In neuroscience, characterizing the microstructure of the human’s brain and mapping out the functional landscape of cerebral cortical areas are the ultimate goals. Functional MRI (fMRI) offers the possibility to delineate areas involved in a given paradigm and quantitative MRI (qMRI) offers the possibility to investigate the microstructure of the tissue.  High spatial resolution is required to investigate and delineate fine structure of the brain but high spatial resolution often results in long acquisition time in MRI. Developing methods for fMRI and qMRI to accelerate the acquisition of high spatial resolution images is therefore essential. FMRI requires high temporal resolution to better sample the brain response and provides high statistical power and qMRI requires short acquisition time to maintain a reasonable scan time while acquiring a sufficiently large set of weighted images to accurately and precisely estimate the quantitative parameters of interest via physical modelling.

Academic biography

Nadège Corbin obtained a Ph.D. in Magnetic Resonance Elastography for Interventional MRI from the ICube laboratory in Strasbourg in 2015. She then joined the Wellcome Centre for Human Neuroimaging (WCHN) and became Deputy Head of the Physics Group in 2018. Nadège is particularly interested in imaging the human brain to better understand its structural and functional organization. Her research focuses on the development of methods for accelerating functional MRI to map the brain activity with high spatio-temporal resolution and characterize tissue microstructure to further our understanding of both healthy neuro-anatomy and pathology.

Invited by

Paulo L. de Sousa (IMIS team)

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