Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography

Objective: To estimate scalp, skull, compact bone, and marrow bone electrical conductivity values based on electrical impedance tomography (EIT) measurements, and to determine the influence of skull modeling details on the estimates. Methods: We collected EIT data with 62 current injection pairs and...

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Autores principales: Fernández Corazza, Mariano, Turovets, Sergei, Luu, Phan, Price, Nick, Muravchik, Carlos Horacio, Tucker, Don
Formato: Articulo Preprint
Lenguaje:Español
Publicado: 2017
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/68656
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id I19-R120-10915-68656
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ingeniería
electrical impedance tomography, skull electrical conductivity, bioimpedance, biomedical signal processing, electroencephalography
spellingShingle Ingeniería
electrical impedance tomography, skull electrical conductivity, bioimpedance, biomedical signal processing, electroencephalography
Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Price, Nick
Muravchik, Carlos Horacio
Tucker, Don
Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
topic_facet Ingeniería
electrical impedance tomography, skull electrical conductivity, bioimpedance, biomedical signal processing, electroencephalography
description Objective: To estimate scalp, skull, compact bone, and marrow bone electrical conductivity values based on electrical impedance tomography (EIT) measurements, and to determine the influence of skull modeling details on the estimates. Methods: We collected EIT data with 62 current injection pairs and built five 6–8 million finite element (FE) head models with different grades of skull simplifications for four subjects, including three whose head models serve as Atlases in the scientific literature and in commercial equipment (Colin27 and EGI’s Geosource atlases). We estimated electrical conductivity of the scalp, skull, marrow bone, and compact bone tissues for each current injection pair, each model, and each subject. Results: Closure of skull holes in FE models, use of simplified four-layer boundary element method-like models, and neglecting the CSF layer produce an overestimation of the skull conductivity of 10%, 10%–20%, and 20%–30%, respectively (accumulated overestimation of 50%–70%). The average extracted conductivities are 288 ± 53 (the scalp), 4.3 ± 0.08 (the compact bone), and 5.5 ± 1.25 (the whole skull) mS/m. The marrow bone estimates showed large dispersion. Conclusion: Present EIT estimates for the skull conductivity are lower than typical literature reference values, but previous in vivo EIT results are likely overestimated due to the use of simpler models. Significance: Typical literature values of 7–10 mS/m for skull conductivity should be replaced by the present estimated values when using detailed skull head models. We also provide subject specific conductivity estimates for widely used Atlas head models.
format Articulo
Preprint
author Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Price, Nick
Muravchik, Carlos Horacio
Tucker, Don
author_facet Fernández Corazza, Mariano
Turovets, Sergei
Luu, Phan
Price, Nick
Muravchik, Carlos Horacio
Tucker, Don
author_sort Fernández Corazza, Mariano
title Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
title_short Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
title_full Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
title_fullStr Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
title_full_unstemmed Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
title_sort skull modeling effects in conductivity estimates using parametric electrical impedance tomography
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/68656
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