An Image Reconstruction Algorithm Based on Tikhonov Regularization in Electromagnetic Tomography

Author

Liu, Ze ; Tan, Xiaoying ; Jia, Wei

Author_Institution

Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

488

Lastpage

491

Abstract

An image reconstruction algorithm based on Tikhonov Regularization algorithm is studied in this paper to improve the accuracy of online image reconstruction in Electromagnetic Tomography (EMT) systems. The method of least squares is employed to reduce the error aroused in the linear approximation of the nonlinear inverse problem. To overcome the ill-posedness, Tikhonov Regularization is introduced to optimize the algorithm. Simulation results have shown the pros and cons of the proposed algorithm, compared with the LBP algorithm.

Keywords

approximation theory; image reconstruction; inverse problems; least squares approximations; tomography; Tikhonov regularization; electromagnetic tomography; error reduction; image reconstruction algorithm; linear approximation; nonlinear inverse problem; online image reconstruction; Coils; Conducting materials; Electromagnetic measurements; Image reconstruction; Inverse problems; Magnetic field measurement; Magnetic materials; Sensor arrays; Space technology; Tomography; Electromagnetic tomography; Tikhonov regularization; image reconstruction; sensitivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.800

Filename

5459874