Paper Info
Title
Computational modeling of human head conductivity
Abstract
The computational environment for estimation of unknown regional electrical conductivities of the human head, based on realistic geometry from segmented MRI up to 2563 resolution, is described. A finite difference alternating direction implicit (ADI) algorithm, parallelized using OpenMP, is used to solve the forward problem describing the electrical field distribution throughout the head given known electrical sources. A simplex search in the multi-dimensional parameter space of tissue conductivities is conducted in parallel using a distributed system of heterogeneous computational resources. The theoretical and computational formulation of the problem is presented. Results from test studies are provided, comparing retrieved conductivities to known solutions from simulation. Performance statistics are also given showing both the scaling of the forward problem and the performance dynamics of the distributed search.
Year
DOI
Venue
2005
10.1007/11428831_78
International Conference on Computational Science (1)
Keywords
Field
DocType
computational environment,forward problem,heterogeneous computational resource,computational formulation,computational modeling,electrical source,performance dynamic,human head,human head conductivity,known solution,unknown regional electrical conductivity,electrical field distribution,computer model,finite difference,distributed system,electric field,electric conductivity,heterogeneous computing
Alternating direction implicit method,Mathematical optimization,Electrical network,Computer science,Finite difference,Algorithm,Simplex,Parameter space,Artificial intelligence,Finite difference method,Scaling,Human head
Conference
Volume
ISSN
ISBN
3514
0302-9743
3-540-26032-3
Citations 
PageRank 
References 
5
0.64
3
Authors
5
Name
Order
Citations
PageRank
Adnan Salman1243.45
Sergei Turovets2356.71
Allen Malony3948.29
Jeff Eriksen450.64
Don Tucker5403.48