Title :
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
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;
Conference_Titel :
Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-3867-7
DOI :
10.1109/ICBEM.1998.666402
