Image reconstruction for magnetic induction tomography

M Soleimani, K Jersey-Willuhn

Research output: Contribution to conferencePaper

6 Citations (Scopus)

Abstract

Image reconstruction in magnetic induction tomography is a non-linear, ill-conditioned, inverse problem. Iterative methods provide a means to reconstruct the conductivity distribution. During reconstruction both the forward solution and the Jacobian matrix need to be calculated. In this paper, we reconstruct the electric conductivity distribution using a non-linear regularised Gauss Newton method and based on our knowledge this is the first MIT reconstruction using non-linear scheme.
Original languageEnglish
Pages631-634 Vol.1
Publication statusPublished - 2004
EventEngineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE -
Duration: 1 Jan 2004 → …

Conference

ConferenceEngineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Period1/01/04 → …

Keywords

  • tomography
  • inverse problems
  • nonlinear regularised Gauss Newton method
  • iterative methods
  • biomagnetism
  • magnetic induction tomography
  • forward solution
  • nonlinear ill-conditioned inverse problem
  • bioelectric phenomena
  • medical image processing
  • Jacobian matrix
  • electric conductivity distribution
  • Jacobian matrices
  • image reconstruction

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  • Cite this

    Soleimani, M., & Jersey-Willuhn, K. (2004). Image reconstruction for magnetic induction tomography. 631-634 Vol.1. Paper presented at Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, .