Image reconstruction for magnetic induction tomography

Author

Soleimani, Manuchehr ; Jersey-Willuhn, Karen

Author_Institution

INOTECH Med. Syst., Carlsbad, CA, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

631

Lastpage

634

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2004.1403237

Filename

1403237