Title :
In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head
Author :
Gonçalves, Sónia I. ; De Munck, Jan C. ; Verbunt, Jeroen P A ; Bijma, Fetsje ; Heethaar, Rob M. ; Lopes da Silva, Fernando
Author_Institution :
MEG Centre, VU Univ. Med. Centre, Amsterdam, Netherlands
fDate :
6/1/2003 12:00:00 AM
Abstract :
In vivo measurements of equivalent resistivities of skull (ρskull) and brain (ρbrain) 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 origin, is important because cost functions are shallow. Results demonstrate that ρskull/ρbrain is more likely to be within 20 and 50 rather than equal to the commonly accepted value of 80. The variation in ρbrain (average = 301 Ω · cm, SD = 13%) and ρskull (average = 12230 Ω · 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 still exist between values of ρskull/ρbrain corresponding to different subjects. Earlier results show the necessity of calibrating ρbrain and ρskull 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.
Keywords :
bioelectric phenomena; boundary-elements methods; brain; brain models; electric impedance imaging; electrical resistivity; EIT-based method; Sherman-Morrison formula; accuracy; brain resistivity; calibration; classical boundary element method; computation time; cost functions; electric impedance tomography; electroencephalogram inverse problem; equivalent resistivities; geometry errors; in vivo measurement; optimal point distribution; realistic head models; skull resistivity; sphere model; systematic errors; Boundary element methods; Brain modeling; Conductivity; Cost function; Electric variables measurement; Impedance measurement; In vivo; Performance evaluation; Skull; Tomography; Adult; Brain; Brain Mapping; Computer Simulation; Electric Impedance; Electroencephalography; Female; Head; Humans; Male; Models, Biological; Reproducibility of Results; Sensitivity and Specificity; Skull; Tomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2003.812164