Image reconstruction for magnetic induction tomography


Soleimani, M. and Jersey-Willuhn, K., 2004. Image reconstruction for magnetic induction tomography. In: Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, 2004-01-01.

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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.


Item Type Conference or Workshop Items (Paper)
CreatorsSoleimani, M.and Jersey-Willuhn, K.
Uncontrolled Keywordstomography, 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
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
ID Code5922


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