Title :
Image reconstruction for magnetic induction tomography
Author :
Soleimani, Manuchehr ; Jersey-Willuhn, Karen
Author_Institution :
INOTECH Med. Syst., Carlsbad, CA, USA
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.
Keywords :
Jacobian matrices; bioelectric phenomena; biomagnetism; image reconstruction; inverse problems; iterative methods; medical image processing; tomography; Jacobian matrix; electric conductivity distribution; forward solution; image reconstruction; iterative methods; magnetic induction tomography; nonlinear ill-conditioned inverse problem; nonlinear regularised Gauss Newton method; Coils; Conductivity; Eddy currents; Equations; Image reconstruction; Jacobian matrices; Magnetic field measurement; Magnetic flux; Magnetic materials; Tomography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403237
