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Biomag 96 pp 233-236 | Cite as

The Theoretical Basis of Iterative Distributed Solutions to the Biomagnetic Inverse Problem

  • R. Hasson
  • S. J. Swithenby
Conference paper

Abstract

This paper aims to clarify the theoretical hasis of iterative distributed solutions [1,2,3] to the biomagnetic inverse problem. A rationale for employing this technique is that it should produce more focal activity than the Standard minimum norm algorithm [4]. We try to clarify the meaning of the images produced by deriving a precise functional that is minimised.

Keywords

Iterate Reconstruction Minimum Norm Minimum Norm Solution Lead Field Source Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Ioannides, A.A., Bolton, J.P.R., Hasson, R., and Clarke C.J.S: In: Williamson, S.J., Hoke, M., Stroink, G. and Kotani, M. Advances in Biomagnetism, New York, Plenum Press, 1989.Google Scholar
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    George, J.S., Lewis, P.S., Schlitt, H.A., Kaplan, L., Gorodnitsky, I. and Wood, C.C.: In: Baumgartner, C., Deeke, L., Stroink, G., Williamson, S.J., BIOMAGNETISM: Fundamental research and clinical applications, 357–362 Amsterdam, Elsevier Science, 1995.Google Scholar
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    Hämäläinen, M.S., and Ilmoniemi, R. Technical Report TKK-F-A559, Helsinki University of Technology, 1984.Google Scholar
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    Nikulin, S.L., Zhuravlev, Y.E., Matlashov, A.N., Lipovitch A.Ya., Clinical Physics and Physiological Measurement, 1991, 12: 79–83.ADSCrossRefGoogle Scholar
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    Janday, B.S., Swithenby, S.J., Thomas, I.M. In: Atsumi, K., Kotani, M., Ueno, S., Katila, T., Williamson, S.J., BIOMAGNETISM ‘87, 246–249, Tokyo, Denki University Press, 1987.Google Scholar

Copyright information

© Springer Science+Business Media New York 2000

Authors and Affiliations

  • R. Hasson
    • 1
  • S. J. Swithenby
    • 1
  1. 1.The Open UniversityMilton KeynesUK

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