Speaker: Zikuan Chen Ph.D

Host: Yu-feng Zang

Time: Mar. 23, 2018, 13:00 p.m.    

Location: Shuyuan 19-308

Abstract: 

BOLD fMRI has been widely accepted for brain function study. In nature, the output of BOLD fMRI consists of a pair of magnitude and phase components. Conventionally, only the magnitude has been used for brain function analysis, and the phase data were discarded. Recent research shows that neither the magnitude nor the phase of BOLD fMRI is a faithful representation of the original brain magnetic state due to MRI-introduced transformations (such as the dipole effect) and nonlinear distortions (such as complex modulo and complex argument calculations). One consequence is that the raw BOLD fMRI data is determined by MRI experiment parameters, such as B0 and echo time (TE). In principle, we can remove the MRI transformations and MRI parameter dependences by computationally solving an inverse MRI problem (CIMRI). In this talk, I will present the CIMRI principle (inverse MRI theory) and technology (3D dipole inversion) for reconstructing the original brain magnetic state (free from MRI influences) and its applications for more truthful brain function study.

Personal Profile:

1993, Ph.D. from Nankai University

1997-1999, Postdoctoral (University of Dayton, University of Tennessee)

2000-2006, Associate Fellow, Assistant Professor of Research (University of California, Irvine, University of Rochester)

2006-2008, Professor (Biomedical Engineering, Northeast University)

2008-present, researcher at the American Institute of Mental Network

Research fields: optical engineering and applied optics; computer image processing and recognition; computer tomography (CT);

Magnetic resonance imaging (MRI); Neuroimaging.

More than 80 academic papers have been published by the first author.