Comparison study of different head model structures with homogeneous/inhomogeneous conductivity

Wen, P. and Li, Y. (2001) Comparison study of different head model structures with homogeneous/inhomogeneous conductivity. Australasian Physical and Engineering Sciences in Medicine, 24 (1). pp. 31-36. ISSN 0158-9938

Abstract

Most of the human head models used in dipole localisation research, which have been reported in the literature to date, assume a simplified cranial structure wherein the head is modelled as a set of distinct homogenous tissue compartments. The inherent inhomogeneity of the tissues has so far been ignored in these models due to the difficulties involved in obtaining the conductivity characteristics with sufficiently high enough spatial resolution throughout the head. A technique for developing an inhomogeneous head model based on the generation of pseudo-conductivity values from the existing but sparse conductivity values is proposed in this paper. Comparative studies are conducted on different model structures and different mechanisms for generating the pseudo conductivities. An evaluation of the results of these studies as reported in this paper, shows that contrary to current simplifying assumptions, tissue inhomogeneity has a major influence on the computation of electrical potential distributions in the head.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 30 Nov 2007 11:47
Last Modified: 09 Apr 2018 00:59
Uncontrolled Keywords: conductivity; EEG head models; inhomogeneity; numerical computation
Fields of Research : 10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
11 Medical and Health Sciences > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1007/BF03178283
URI: http://eprints.usq.edu.au/id/eprint/14240

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