Non-invasive iterative skull resistivity estimation based on a priori information

Author

Chen, Dong ; Silberstein, Richard B. ; Seagar, Andrew D. ; Cadusch, Peter J. ; Murphy, Dale

Author_Institution

Brain Sci. Inst., Swinburne Univ. of Technol., Hawthorn, Vic., Australia

fYear

1998

fDate

15-18 Feb 1998

Firstpage

75

Lastpage

76

Abstract

Under the assumption that the anatomical structure of the head is known, a two-dimensional finite element (FE) model was developed to reconstruct the skull resistivity by using the Newton-Raphson method. The resistivities of scalp and skull, including sutures, are reconstructed based on the condition that the resistivities of the brain, the lower part of the head and the neck as well as the body are known from previous determination in vitro as a priori information. The effect of error in a priori information on the reconstruction is also studied. Reconstructions are compared for two different current injection patterns

Keywords

Newton-Raphson method; Poisson equation; bioelectric phenomena; biological tissues; convergence of numerical methods; electrical resistivity; electroencephalography; finite element analysis; inverse problems; physiological models; 2D finite element model; EEG interpretation; Newton-Raphson method; Poisson equation; a priori information; boundary voltages; consistent convergence; current injection patterns; error effect; forward problem; in vitro determination; inverse problem; least squares; noninvasive iterative skull resistivity estimation; scalp resistivity; skull resistivity reconstruction; sutures; Brain modeling; Conductivity; Humans; Image reconstruction; Iron; Magnetic heads; Neck; Scalp; Skull; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-3867-7

Type

conf

DOI

10.1109/ICBEM.1998.666402

Filename

666402