In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head

被引:148
作者
Gonçalves, SI
de Munck, JC
Verbunt, JPA
Bijma, F
Heethaar, RM
da Silva, FL
机构
[1] Vrije Univ Amsterdam, Med Ctr, MEG Ctr, NL-1007 MB Amsterdam, Netherlands
[2] Univ Lisbon, Fac Ciencias, Inst Biophys & Biomed Engn, P-1700 Lisbon, Portugal
[3] Free Univ Amsterdam Hosp, Inst Cardiovasc Res, Dept Phys & Med Technol, NL-1007 MB Amsterdam, Netherlands
[4] Inst Neurobiol, NL-1098 SM Amsterdam, Netherlands
关键词
electric impedance tomography (EIT); electrical resistivities; electroencephalogram inverse problem (EEG IP); realistic models;
D O I
10.1109/TBME.2003.812164
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:754 / 767
页数:14
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