Convergence analysis for modified conjugate gradient in electromagnetic tomography

Author

Li, Liu ; Shao, Fuqun

Author_Institution

Coll. of Phys. Sci. & Technol., Shenyang Normal Univ., Shenyang, China

fYear

2011

fDate

15-17 April 2011

Firstpage

3086

Lastpage

3089

Abstract

Methods and development of electromagnetic tomography (EMT) are introduced. Based on conjugate gradient algorithm, modified conjugate gradient algorithm for EMT is proposed, which improves quality of reconstructed image and convergence speed efficiently. The convergence is analyzed. The Conclusions is that the modified conjugate gradient algorithm is superior to the others in terms of image error, correlation coefficient, and convergence for image reconstruction, and its convergence is much better than conjugate gradient algorithm.

Keywords

conjugate gradient methods; convergence of numerical methods; electromagnetic fields; image reconstruction; tomography; EMT; convergence analysis; electromagnetic tomography; image correlation; image error; image quality; image reconstruction; modified conjugate gradient algorithm; Algorithm design and analysis; Convergence; Electromagnetics; Image reconstruction; Instruments; Magnetic resonance imaging; Tomography; conjugate gradient; convergence; electromagnetic tomography; image reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777210

Filename

5777210