A theoretical analysis of noise in electrical impedance tomographic images

Author

Frangi, Alejandro F. ; Rosell, Javier

Author_Institution

Univ. Politecnica de Catalunya, Barcelona, Spain

Volume

1

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

433

Abstract

This paper theoretically analyses the propagation of measurement noise in Electrical Impedance Tomography (EIT) and its influence in image noise. The authors compare the behavior of three backprojection algorithms in front of noise. They present close-form approximated expressions for noise power in EIT. EIT image noise is argued to be gaussian distributed but with spatially variant statistics. There is a linear relation between measurement noise reduction and reduction in image noise. The study was validated with numerical simulation

Keywords

Gaussian distribution; electric impedance imaging; noise; numerical analysis; close-form approximated expressions; electrical impedance tomographic images; gaussian distributed noise; measurement noise propagation; measurement noise reduction; medical diagnostic imaging; noise power; numerical simulation; spatially variant statistics; Additive noise; Conductivity; Electrodes; Gaussian noise; Image analysis; Impedance; Noise measurement; Noise reduction; Tomography; Voltage measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.754572

Filename

754572