Elfar Adalsteinsson, PhD
Core Faculty
Eaton-Peabody Professor, Electrical Engineering and Computer Science and Institute for Medical Engineering and Computer Science, Massachusetts Institute of Technology
Elfar Adalsteinsson
Areas of Research
Medical Devices Medical Devices
Structural and Functional Imaging Structural and Functional Imaging
Email
elfar [at] mit.edu
Website
Adalsteinsson Group
Phone
(617) 324-3597
Address

77 Massachusetts Ave.
Cambridge, MA 02139

Room
36-766
Administrative Assistant(s)
Megumi Masuda-Loos
(617) 324-3542
mriadmin [at] mit.edu
Elfar Adalsteinsson, PhD
Core Faculty
Eaton-Peabody Professor, Electrical Engineering and Computer Science and Institute for Medical Engineering and Computer Science, Massachusetts Institute of Technology

Degrees

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

Bio

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.

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

Selected Publications

  • Placental MRI: Developing Accurate Quantitative Measures of Oxygenation. Abaci Turk E, Stout JN, Ha C, Luo J, Gagoski B, Yetisir F, Golland P, Wald LL, Adalsteinsson E, Robinson JN, Roberts DJ, Barth WH Jr, Grant PE. Top Magn Reson Imaging. 2019 Oct;28(5):285-297
  • In Vivo Quantification of Placental Insufficiency by BOLD MRI: A Human Study. Luo J, Abaci Turk E, Bibbo C, Gagoski B, Roberts DJ, Vangel M, Tempany-Afdhal CM, Barnewolt C, Estroff J, Palanisamy A, Barth WH, Zera C, Malpica N, Golland P, Adalsteinsson E, Robinson JN, Grant PE. Sci Rep. 2017 Jun 16;7(1):3713.
  • The ultimate signal-to-noise ratio in realistic body models. Guérin B, Villena JF, Polimeridis AG, Adalsteinsson E, Daniel L, White JK, Wald LL. Magn Reson Med. 2017 Nov;78(5):1969-1980.

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

Courses Taught

  • HST 580/6.556 Data Acquisition and Image Reconstruction in MRI Data Acquisition and Image Reconstruction in MRI
  • 6.003 Signal Processing
  • 6.03 Introduction to EECS from a Medical Technology Perspective
  • 6.011 Signals, Systems & Inference

Description

The Magnetic Resonance Imaging Group in IMES, EECS, and RLE, conducts investigations in medical imaging with current interests including imaging in pregnancy, the fetus, and placenta, as the fetal stage of human brain development is the most dynamic, the most vulnerable and the most important for lifelong behavioral and cognitive function. With extensive collaborations across MIT, Boston Children’s Hospital, and the Martinos Center for Biomedical Imaging, the lab’s methodological work spans MRI with inference and mitigation of subject motion, RF design and parallel transmission with shim arrays, AI in MRI, and instrumentation at low field and hands-on form factor.