• DocumentCode
    1220047
  • Title

    An Evaluation of Methods for Neuromagnetic Image Reconstruction

  • Author

    Jeffs, Brian ; Leahy, Richard ; Singh, Manbir

  • Author_Institution
    Hughes Aircraft Company, Buena Park, CA 90621 and the Department of Electrical Engineering-Systems, Signal and Image processing Institute, University of Southern California
  • Issue
    9
  • fYear
    1987
  • Firstpage
    713
  • Lastpage
    723
  • Abstract
    In this paper, we discuss several aspects of a potential new medical imaging modality for producing a quantitative three-dimensional map of neuron current densities associated with brain function. The neuromagnetic image is produced by reconstructing a current dipole field from external magnetic field measurements made with an array of superconducting quantum interference device (SQUID) detectors. This field is produced by numerical inversion of the Biot-Savart equation. The purpose of the work is to investigate fundamental limits on the feasibility of the proposed system under ideal conditions. The following problems are addressed: 1) What are the factors limiting resolution of the system? 2) What is a suitable model for neural activity in the brain? 3) What classes of algorithms are suitable for estimating the model parameters? The major conclusion of this work is that the inversion problem is severely ill-posed and the choice of model and estimation algorithm are crucial in obtaining reasonable solutions. A class of solutions, termed minimum dipole, is proposed as a means of obtaining more acceptable results.
  • Keywords
    Biomedical imaging; Current density; Detectors; Image reconstruction; Interference; Magnetic field measurement; Neurons; SQUIDs; Sensor arrays; Superconducting devices; Biomedical Engineering; Brain; Evaluation Studies as Topic; Humans; Image Processing, Computer-Assisted; Magnetics; Models, Theoretical; Neurons;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1987.325996
  • Filename
    4122618