People / Directory (General Staff Directory)

category
3
Elfar Adalsteinsson
Back to List181156

Elfar Adalsteinsson

Associate Professor of Electrical Engineering, Electrical Engineering and Computer Science (EECS)
Associate Professor of Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology
MIT's Elfar Adalsteinsson: Associate Professor of Electrical Engineering, Electrical Engineering and Computer Science (EECS). Associate Professor of Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology.
77 Massachusetts Avenue
Room 36-766
Cambridge, MA 02139
elfar@mit.edu
617.324.3597—Tel

Administrative Assistant

Arlene Wint
aewint@mit.edu
617.253.7309—Tel
Room 36-581

Professor Elfar Adalsteinsson is a principal investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). Professor Adalsteinsson conducts research on medical imaging with magnetic resonance, focusing on optimal methods for acquisition, reconstruction and processing of in vivo imaging data. His interests include techniques for efficient sampling and spatial encoding of spectroscopic magnetic resonance data, whereby small signals, originating, for example, specifically from neurons in the brain, yield information not observed with conventional structural imaging. Applications of these and related methods include a study of the progression of Alzheimer’s disease and characterization of Multiple Sclerosis.

Professor Adalsteinsson received a B.S. in 1989 from the University of Iceland, Reykjavik, and the M.S. and Ph.D. degrees in Electrical Engineering in 1991 and 1995, respectively, from Stanford University. From 1995 until his arrival in RLE, Elfar was with the Lucas Center at Stanford.

Keywords

medical imaging, magnetic resonance imaging, neuro-imaging, data sampling and special encoding, low level signals, neuroscience, chemical shift imaging, Alzheimer's disease, multiple sclerosis
medical imaging, magnetic resonance imaging, neuro-imaging, data sampling and special encoding, low level signals, neuroscience, chemical shift imaging, Alzheimer's disease, multiple sclerosis

Related News Links

Related News Articles