Sensitivity Analysis Highlights the Importance of Accurate Head Models for Electrical Impedance Tomography Monitoring of Intracerebral Hemorrhagic Stroke

Antti Paldanius, Bachir Dekdouk, Jussi Toivanen, Ville Kolehmainen, Jari Hyttinen

    Research output: Contribution to journalArticleScientificpeer-review

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    Abstract

    Objective: Electrical impedance tomography (EIT) has been proposed as a novel tool for diagnosing stroke. However, so far, the clinical feasibility is unresolved. In this study, we aim to investigate the need for accurate head modeling in EIT and how the inhomogeneities of the head contribute to the EIT measurement and affect its feasibility in monitoring the progression of a hemorrhagic stroke. Methods: We compared anatomically detailed six- and three-layer finite element models of a human head and computed the resulting scalp electrode potentials and the lead fields of selected electrode configurations. We visualized the resulting EIT measurement sensitivity distributions, computed the scalp electrode potentials, and examined the inverse imaging with selected cases. The effect of accurate tissue geometry and conductivity values on the EIT measurement is assessed with multiple different hemorrhagic perturbation locations and sizes. Results: Our results show that accurate tissue geometries and conductivity values inside the cranial cavity, especially the highly conductive cerebral spinal fluid, significantly affect EIT measurement sensitivity distribution and measured potentials. Conclusions: We can conclude that the three-layer head models commonly used in EIT literature cannot depict the current paths correctly in the head. Thus, our study highlights the need to consider the detailed geometry of the cerebrospinal fluid (CSF) in EIT. Significance: The results clearly show that the CSF should be considered in the head EIT calculations.

    Original languageEnglish
    Number of pages12
    JournalIEEE Transactions on Biomedical Engineering
    Volume69
    Issue number4
    Early online date19 Oct 2021
    DOIs
    Publication statusPublished - 2022
    Publication typeA1 Journal article-refereed

    Keywords

    • Brain modeling
    • Electrical impedance tomography
    • electrical impedance tomography
    • Electrodes
    • Head
    • Hemorrhaging
    • lead field theory
    • Monitoring
    • Perturbation methods
    • sensitivity distribution
    • stroke imaging
    • stroke monitoring

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • Biomedical Engineering

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