Anisotropic 3D Printed Unit Cells for More Realistic EEG Physical Head Phantoms

This contribution deals with a comparison of several anisotropic unit cell models for mimicking properties of head tissues to create more realistic fabricable anisotropic head phantoms for electroencephalogram (EEG) systems. The selected unit cells can be exploited for creation of a white matter or skull anisotropy, while being suitable for practical realization of head phantoms by 3D printing techniques. Their effective conductivities are calculated by numerical simulations in CST Studio Suite and their maximum anisotropic ratios are evaluated for various conductivity ratios of the host and inclusion materials. Further, the numerically calculated effective conductivity of a simple sandwich unit cell is validated by the analytical equivalent electrical circuit networks method.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701668
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Anisotropic 3D Printed Unit Cells for More Realistic EEG Physical Head Phantoms

Petr Kaděra, Jaroslav Láčík
Advanced MRI Techniques and Applications
article

Anisotropic 3D Printed Unit Cells for More Realistic EEG Physical Head Phantoms

Petr Kaděra, Jaroslav Láčík
article en

Abstract

This contribution deals with a comparison of several anisotropic unit cell models for mimicking properties of head tissues to create more realistic fabricable anisotropic head phantoms for electroencephalogram (EEG) systems. The selected unit cells can be exploited for creation of a white matter or skull anisotropy, while being suitable for practical realization of head phantoms by 3D printing techniques. Their effective conductivities are calculated by numerical simulations in CST Studio Suite and their maximum anisotropic ratios are evaluated for various conductivity ratios of the host and inclusion materials. Further, the numerically calculated effective conductivity of a simple sandwich unit cell is validated by the analytical equivalent electrical circuit networks method.

Brno University of Technology (CZ)
Openalex Percentile: Top 71%
Advanced MRI Techniques and Applications
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