Mahdi Khajehim


Personal Homepage:LinkedIn
E-mail: Mahdi.Khajehim{at}aut{dot}ac{dot}ir,Mahdi.Khajehim{at}gmail{dot}com
Supervisor: Dr. Abbas Nasiraei Moghaddam
Dr. Gholam-Ali Hossein Zadeh




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


Research Subject

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



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.









Advanced Medical Imaging Research Laboratoy
Department of Biomedical Engineering
Amirkabir University of Technology
424 Hafez Avenue, Tehran
Tehran, IRAN, P,O.BOX: 15875-4413

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Useful Links
Amirkabir University of Technology
National Brain Mapping Lab
DCVI Section of UCLA
ISMRM Iranian Chapter