DocumentCode :
1013579
Title :
Improved method for computation of potentials in a realistic head shape model
Author :
Fletcher, Daniel J. ; Amir, Avner ; Jewett, Don L. ; Fein, George
Author_Institution :
California Univ., San Francisco, CA, USA
Volume :
42
Issue :
11
fYear :
1995
Firstpage :
1094
Lastpage :
1104
Abstract :
The lead field analysis (LFA) algorithm, a new computational technique for the calculation of potentials on the surface of a realistic head shaped volume conductor model based on the boundary element method and the reciprocity theorem, is presented. The new algorithm, in comparison to the standard boundary element method, offers improved computational efficiency and lower storage requirements. It also yields more accurate surface potential results in the face of varying dipole source locations for a head shape boundary element model with a given number of nodes. Additionally, the algorithm results in quasi-analytic expressions of the derivatives of the surface potential with respect to the location of the sources, allowing the use of optimization techniques with better convergence properties. A set of simulations demonstrating the increased robustness of the LFA algorithm in the face of varying dipole source parameters is also described.
Keywords :
bioelectric potentials; boundary-elements methods; electroencephalography; optimisation; surface potential; algorithm robustness; convergence properties; dipole source parameters; lead field analysis algorithm; optimization techniques; potentials computation method; quasianalytic expressions; realistic head shape model; reciprocity theorem; varying dipole source locations; Boundary element methods; Brain modeling; DSL; Humans; Magnetic heads; Parameter estimation; Predictive models; Scalp; Shape; Solid modeling; Algorithms; Animals; Brain Mapping; Cats; Evoked Potentials; Head; Humans; Image Processing, Computer-Assisted; Numerical Analysis, Computer-Assisted; Reference Values; Reproducibility of Results;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.469376
Filename :
469376
Link To Document :
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