Effects of local tissue conductivity on spherical and realistic head models

Bashar, Md. Rezaul and Li, Yan and Wen, Peng (2010) Effects of local tissue conductivity on spherical and realistic head models. Australasian Physical and Engineering Sciences in Medicine, 33 (3). pp. 233-242. ISSN 0158-9938

Abstract

In this study, we consider different conductivity values based on tissue location in a human head model. We implement local conductivity (LC) to compute head surface potentials in three-, four-layered spherical and realistic head models using finite element method (FEM). Implementing LC for all head models, we obtain significant scalp potential variations in the term of relative difference measurement (RDM) and magnification (MAG) values with a maximum of 2.03 +/- A 1.81 and 8.27 +/- A 6.36, respectively. We also investigate the effects of conductivity variations (CVs) of head tissue layer on scalp potentials and find a maximum of 2.15 +/- A 1.93 RDM and 8.57 +/- A 6.61 MAG values. Our study concludes that it is important to assign LC to each tissue and it is also important to assign appropriate conductivity value in the construction of a head model for achieving accurate scalp potentials.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held.
Depositing User: Dr Yan Li
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 23 Feb 2011 08:12
Last Modified: 03 Jul 2013 00:30
Uncontrolled Keywords: conductivity values; human head; tissue
Fields of Research (FOR2008): 06 Biological Sciences > 0699 Other Biological Sciences > 069999 Biological Sciences not elsewhere classified
11 Medical and Health Sciences > 1103 Clinical Sciences > 110320 Radiology and Organ Imaging
11 Medical and Health Sciences > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970106 Expanding Knowledge in the Biological Sciences
Identification Number or DOI: doi: 10.1007/s13246-010-0027-3
URI: http://eprints.usq.edu.au/id/eprint/18432

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