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 language | English |
|---|---|
| Pages | 631-634 Vol.1 |
| Publication status | Published - 2004 |
| Event | Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE - Duration: 1 Jan 2004 → … |
Conference
| Conference | Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE |
|---|---|
| Period | 1/01/04 → … |
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