M.Khajehim | AMIRLab

Mahdi Khajehim

MSc.

Personal Homepage:LinkedIn
E-mail: Mahdi.Khajehim{at}aut{dot}ac{dot}ir,Mahdi.Khajehim{at}gmail{dot}com
Phone:(+98)-937-1122701
Supervisor: Dr. Abbas Nasiraei Moghaddam
Advisor: Dr. Gholam-Ali Hossein Zadeh

EDUCATION

M.Sc.	Biomedical Engineering, Bioelectric Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran 2013 - 2016
B.Sc.	Electrical Engineering Ferdowsi University of Mashhad, Mashhad,Iran 2008-2013

Research Subject

Novel fMRI methods, Statistical analysis of fMRI data, Computer simulation of fMRI contrast, Complex analysis of fMRI data

Abstract

Traditional GRE fMRI comes with a number of limitations in terms of image distortion and achievable spatial specificity. Recently, several studies have been performed to investigate other fMRI techniques to alleviate these limitations. In our group, we are working on new and reliable SSFP-fMRI methods which can provide several unique advantages compared to GRE fMRI.
Specifically, I’m interested in statistical analysis of fMRI data along with investigating its bio-physical aspects. I’ve worked toward providing accurate computer simulations to better understand the origin of functional contrast in conjunction with estimating the fMRI achievable spatial specificity. I’m also interested in finding efficient ways to utilize the image phase in fMRI analysis.

Publication

M. Khajehim, A. Nasiraei Moghaddam, “A Systematic Investigation on the BOLD contrast in S1-and S2-SSFP fMRI,” Proc. 24th ISMRM, Singapore, p. p 3834, 2016.
M. Khajehim, A. Nasiraei Moghaddam, “Monte Carlo Simulation for A-BOSS fMRI” Proc. 24th ISMRM, Singapore, p. p 3835, 2016.
M. Khajehim, A. Nasiraei Moghaddam, G.-A. Hossein-Zadeh, T. Martin, and D. Wang, “A Quantitative Analysis of fMRI Induced Phase Changes Using Averaged-BOSS (A-BOSS),” Proc. 23th ISMRM, Toronto, p. p 3921, 2015.