DocumentCode :
994711
Title :
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Author :
Hamalainen, Matti S. ; Sarvas, Jukka
Author_Institution :
Low Temp. Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume :
36
Issue :
2
fYear :
1989
Firstpage :
165
Lastpage :
171
Abstract :
The computational and practical aspects of a realistically shaped multilayer model for the conductivity geometry of the human head are discussed. A method to handle the numerical difficulties caused by the presence of poorly conducting skull is presented. Using the method, both the potential on the surface of the head and the magnetic field outside the head can be computed accurately. The procedure is tested with the multilayer sphere model, for which analytical expressions are available. The method is then applied to a realistically shaped head model, and it is shown numerically that for the computation of B produced by cerebral current sources, it is sufficient to consider a brain-shaped homogeneous conductor only, since the secondary currents on the outer interfaces give only a negligible contribution to the magnetic field outside the head. Comparisons with the sphere model are included to pinpoint areas where the homogeneous conductor model provides essential improvements in the calculation of the magnetic field outside the head.<>
Keywords :
bioelectric phenomena; biomagnetism; physiological models; brain-shaped homogeneous conductor; cerebral current sources; human head; magnetic field; neuromagnetic data interpretation; poorly conducting skull; realistic conductivity geometry model; realistically shaped multilayer model; Computational geometry; Conductivity; Conductors; Humans; Magnetic fields; Magnetic heads; Magnetic multilayers; Skull; Solid modeling; Testing; Brain; Electric Conductivity; Electromagnetic Fields; Electromagnetics; Head; Humans; Models, Anatomic; Models, Biological;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.16463
Filename :
16463
Link To Document :
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