Elfar Adalsteinsson

Core Faculty
Phone: (617) 324-3597
Email: elfar@mit.edu
room: 36-766
MIT address: 77 Massachusetts Ave., Cambridge, MA 02139
Administrative Assistant: Megumi Masuda-Loos
assistant phone: (617) 324-3542
assistant email: mriadmin@mit.edu

Elfar Adalsteinsson

Core Faculty


  • Professor of Health Sciences and Technology (HST) and of Electrical Engineering and Computer Science (EECS), Institute of Medical Engineering and Science (IMES), Massachusetts Institute of Technology


Elfar Adalsteinsson, Professor of Electrical Engineering and Computer Science and of MIT’s Division of Health Sciences and Technology, joined the MIT faculty and the Research Laboratory of Electronics in 2004.


  • PhD in Electrical Engineering, Stanford University, 1995
  • MS in Electrical Engineering, Stanford University, 1991
  • BS in Electrical Engineering, University of Iceland Reykjavik, 1989

selected awards/societies

  • College of Fellows Inductee, American Institute for Medical and Biological Engineering, 2016
  • International Society of Magnetic Resonance in Medicine (ISMRM)
  • Fulbright Fellowship

research interests

Research interests include quantitative oxygenation parameter imaging with MRI, hardware and algorithms for parallel transmission (pTx), estimation and management of local power deposition in ultra-high-field MRI, sparsity properties in excitation and acquisition in MRI, compressed sensing, and reconstructions of dramatically undersampled MR imaging and spectroscopy.

With Director and PI Prof. Martha Gray, Adalsteinsson is Associate Director of the Madrid-MIT M+Visión Consortium, whose objective is to accelerate healthcare technology innovation by building an innovative community. The Madrid–MIT M+Visión Consortium, founded in 2010 by Comunidad de Madrid, has built an ecosystem that strategically identifies compelling healthcare innovation opportunities and develops new technologies to answer them—better, faster. Our key assets are an international, multidisciplinary community and our unique innovation method IDEA3.

selected publications

  • A. P. Fan, S. T. Govindarajan, R. P. Kinkel, N. K. Madigan, A. S. Nielsen, T. Benner, E. Tinelli, B. R. Rosen, E. Adalsteinsson, and C. Mainero. “Quantitative oxygen extraction fraction from 7-Tesla MRI phase: reproducibility and application in multiple sclerosis.”  J Cereb Blood Flow Metab 35.1 (2015): 131-9.
  • A. P. Fan, K. C. Evans, J. N. Stout, B. R. Rosen, and E. Adalsteinsson. “Regional quantification of cerebral venous oxygenation from MRI susceptibility during hypercapnia.”  Neuroimage 1.104 (2015): 146-55.
  • Z. Mahmood, P. McDaniel, B. Guérin, B. Keil, M. Vester,
    E. Adalsteinsson, L. L. Wald, and L. Daniel. “General design approach and practical realization of decoupling matrices for parallel transmission coils.” Magn Reson Med 31 (2015): doi: 10.1002/mrm.25855.

A full list of Professor Adalsteinsson’s publications can be found on his website.

courses taught

  • HST 580 – SP 2013 – Data Acquisition and Image Reconstruction in MRI Data Acquisition and Image Reconstruction in MRI
  • HST 582 – SP 2013 – Biomedical Signal and Image Processing Biomedical Signal and Image Processing