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)|
|Creators||Soleimani, M.and Jersey-Willuhn, K.|
|Uncontrolled 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|
|Departments||Faculty of Engineering & Design > Electronic & Electrical Engineering|
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