Full Paper

Dynamic magnetic resonance inverse imaging of human brain function

  1. Fa-Hsuan Lin1,2,*,
  2. Lawrence L. Wald1,2,
  3. Seppo P. Ahlfors1,2,
  4. Matti S. Hämäläinen1,2,
  5. Kenneth K. Kwong1,2,
  6. John W. Belliveau1,2

Article first published online: 8 SEP 2006

DOI: 10.1002/mrm.20997

Issue

Magnetic Resonance in Medicine

Magnetic Resonance in Medicine

Volume 56, Issue 4, pages 787–802, October 2006

Additional Information

How to Cite

Lin, F.-H., Wald, L. L., Ahlfors, S. P., Hämäläinen, M. S., Kwong, K. K. and Belliveau, J. W. (2006), Dynamic magnetic resonance inverse imaging of human brain function. Magn Reson Med, 56: 787–802. doi: 10.1002/mrm.20997

Author Information

  1. 1

    Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA

  2. 2

    Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA

*Athinoula A. Martinos Center for Biomedical Imaging, Bldg. 149, 13th Street, Mailcode 149-2301, Charlestown, MA 02129

Publication History

  1. Issue published online: 21 SEP 2006
  2. Article first published online: 8 SEP 2006
  3. Manuscript Accepted: 23 MAY 2006
  4. Manuscript Revised: 19 MAY 2006
  5. Manuscript Received: 7 NOV 2005

Funded by

  • National Institutes of Health. Grant Numbers: R01 HD040712, R01 NS037462, R01 EB00079004, P41 RR14075
  • Mental Illness and Neuroscience Discovery Institute (MIND)

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

View Full Article (HTML) Get PDF (3141K)

Keywords:

  • MRI;
  • inverse;
  • parallel MRI;
  • magnetoencephalography;
  • minimum-norm;
  • MNE;
  • dSPM;
  • InI;
  • electroencephalgraphy

Abstract

MRI is widely used for noninvasive hemodynamic-based functional brain imaging. In traditional spatial encoding, however, gradient switching limits the temporal resolution, which makes it difficult to unambiguously identify possible fast nonhemodynamic changes. In this paper we propose a novel reconstruction approach, called dynamic inverse imaging (InI), that is capable of providing millisecond temporal resolution when highly parallel detection is used. To achieve an order-of-magnitude speedup in generating time-resolved contrast estimates and dynamic statistical parametric maps (dSPMs), the spatial information is derived from an array of detectors rather than by time-consuming gradient-encoding methods. The InI approach was inspired by electroencephalography (EEG) and magnetoencephalography (MEG) source localization techniques. Dynamic MR InI was evaluated by means of numerical simulations. InI was also applied to measure BOLD hemodynamic time curves at 20-ms temporal resolution in a visual stimulation experiment using a 90-channel head array. InI is expected to improve the time resolution of MRI and provide increased flexibility in the trade-off between spatial and temporal resolution for studies of dynamic activation patterns in the human brain. Magn Reson Med, 2006. © 2006 Wiley-Liss, Inc.

View Full Article (HTML) Get PDF (3141K)