Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 50, Issue 6, Pages 754-767Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2003.812164
Keywords
electric impedance tomography (EIT); electrical resistivities; electroencephalogram inverse problem (EEG IP); realistic models
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In vivo measurements of equivalent resistivities of skull (rho(skull)) and brain (rho(brain)) are performed for six subjects,using an electric impedance tomography (EIT)-based method and realistic models for the head. The classical boundary element method (BEM). formulation for EIT is very time consuming. However, the application of the Sherman-Morrison formula. reduces the computation time by a factor of 5. Using an optimal point distribution in the BEM model to optimize its accuracy, decreasing systematic errors of numerical origins is important because cost functions are shallow. Results demonstrate that rho(skull)/rho(brain) is more likely to be within 20 and 50 rather than equal to the commonly accepted value of, (.)80. The variation in rho(brain)(average = 301 Omega (.) cm, SD = 13%) and rho(skull)(average = 12230 Omega (.) cm, SD = 18%) is decreased by half, when compared with the results using the sphere model, showing that the correction for geometry errors is essential to obtain realistic estimations. However, a factor of 2.4 may stil exist between values of rho(skull)/rho(brain) corresponding to different subjects. Earlier results show the necessity of calibrating rho(brain) and rho(skull) by measuring them in vivo-for each subject, in order to decrease errors associated with the electroencephalogram inverse problem. We show that the proposed method is suited to this goal.
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