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Speaker: Prof. Xiaoping Hu, Emory + Georgia Tech
Magnetic resonance imaging of the brain
Magnetic Resonance Imaging (MRI) has become a powerful, indispensable, and ubiquitously used methodology in neuroimaging. In particularly, functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) are two specific techniques which have broadly impacted the field. In this talk, I will briefly describe the bases and principles of these techniques and highlight several aspects of to data processing and analysis, including statistical analyses, support vector machine based classification, causal modelling and graph theoretic analysis.
Dr. Hu is a professor of biomedical engineering at Georgia Tech/Emory University and a Georgia Research Alliance eminent scholar in biomedical imaging. With a Ph.D. in medical physics from the University of Chicago, Dr. Hu has worked on the development and biomedical applications of magnetic resonance imaging/spectroscopy, particularly in the study of brain for almost 3 decades. Dr. Hu has authored or co-authored 200+ peer-reviewed journal articles. His work has been cited more than 10000 times. Among various contributions, he is recognized for his pioneering work on acquisition and analysis methods for functional magnetic resonance imaging (fMRI), including methods for removing physiological noise, ultrahigh field fMRI, real-time fMRI, and Granger causality analysis of fMRI data. In addition to neuroimaging, his current research interest also includes MR molecular imaging and in vivo MR detection of action potential.