Conference Proceeding

Image reconstruction for magnetic induction tomography

INOTECH Med. Syst., Carlsbad, CA, USA
10/2004; DOI:10.1109/IEMBS.2004.1403237 In proceeding of: Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, Volume: 1
Source: IEEE Xplore

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.

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Keywords

conductivity distribution
 
electric conductivity distribution
 
first MIT reconstruction
 
Image reconstruction
 
non-linear
 
non-linear regularised Gauss Newton method
 
non-linear scheme