Monitoring hemorrhagic strokes using EIT

Toivanen, J.; Hänninen, Asko; Savolainen, T.; Forss, Nina; Kolehmainen, Ville

doi:10.1016/b978-0-12-818614-5.00007-2

Cited by 12 publications

(10 citation statements)

References 31 publications

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“…7 and 8 and the scalp potential difference images Figs. [10][11][12] show that the more complex and anatomically realistic six-layer model differs from the three-layer model. In those cases, the median differential voltages had a difference of 4.6% between the three-and sixlayer models.…”

Section: B Contribution Of Perturbation To the Differential Voltage M...mentioning

confidence: 99%

“…This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ Previous EIT brain imaging research targets have included epilepsy [8], differentiation between intracerebral hemorrhage (ICH) and ischemia [9], [10], monitoring progression of a hemorrhagic stroke [11], or other conditions which may alter the impedance of tissues inside the cranial cavity [12]. While computational and phantom models have provided promising results, there has been only one clinical study on the feasibility of EIT in delivering diagnostic information for differentiation of different pathologies such as ischemic and hemorrhagic stroke and tumors [12], and it had negative findings.…”

Section: Introductionmentioning

confidence: 99%

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

Paldanius

Dekdouk

Toivanen

et al. 2022

IEEE Trans. Biomed. Eng.

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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 sixand 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 cerebrospinal 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.

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Section: B Contribution Of Perturbation To the Differential Voltage M...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Paldanius

Dekdouk

Toivanen

et al. 2022

IEEE Trans. Biomed. Eng.

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“…The line search is implemented using bounded minimization such that the non-negativity σ > 0 is enforced. For more details of the method, see [76].…”

Section: Methodsmentioning

confidence: 99%

Fast Absolute 3D CGO-Based Electrical Impedance Tomography on Experimental Tank Data

Hamilton,

Muller,

Isaacson

et al. 2023

Preprint

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Objective: To present the first 3D CGO-based absolute EIT reconstructions from experimental tank data. Approach: CGO-based methods for absolute EIT imaging are compared to traditional TV regularized non-linear least squares reconstruction methods. Additional robustness testing is performed by considering incorrect modeling of domain shape. Main Results: The CGObased methods are fast, and show strong robustness to incorrect domain modeling comparable to classic difference EIT imaging and fewer boundary artefacts than the TV regularized non-linear least squares reference reconstructions. Significance: This work is the first to demonstrate fully 3D CGO-based absolute EIT reconstruction on experimental data and also compares to TV-regularized absolute reconstruction. The speed (1-5 seconds) and quality of the reconstructions is encouraging for future work in absolute EIT.

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“…We compare the performance of several inverse estimation methods for the monitoring task. We use the algorithm first introduced by Toivanen et al 15 . that has been constructed as a combination of the nonlinear region-of-interest difference imaging approach by Liu et al 16 .…”

Section: Introductionmentioning

confidence: 99%

Simulation-based feasibility study of monitoring of intracerebral hemorrhages and detection of secondary hemorrhages using electrical impedance tomography

Toivanen,

Paldanius,

Dekdouk

et al. 2024

J. Med. Imag.

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.PurposeWe present a simulation-based feasibility study of electrical impedance tomography (EIT) for continuous bedside monitoring of intracerebral hemorrhages (ICH) and detection of secondary hemorrhages.ApproachWe simulated EIT measurements for six different hemorrhage sizes at two different hemorrhage locations using an anatomically detailed computational head model. Using this dataset, we test the ICH monitoring and detection performance of our tailor-made, patient-specific stroke-monitoring algorithm that utilizes a novel combination of nonlinear region-of-interest difference imaging, parallel level sets regularization and a prior-conditioned least squares algorithm. We compare the results of our algorithm to the results of two reference algorithms, a total variation regularized absolute imaging algorithm and a linear difference imaging algorithm.ResultsThe tailor-made stroke-monitoring algorithm is capable of indicating smaller changes in the simulated hemorrhages than either of the reference algorithms, indicating better monitoring and detection performance.ConclusionsOur simulation results from the anatomically detailed head model indicate that EIT equipped with a patient-specific stroke-monitoring algorithm is a promising technology for the unmet clinical need of having a technology for continuous bedside monitoring of brain status of acute stroke patients.

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Monitoring hemorrhagic strokes using EIT

Cited by 12 publications

References 31 publications

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

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

Fast Absolute 3D CGO-Based Electrical Impedance Tomography on Experimental Tank Data

Simulation-based feasibility study of monitoring of intracerebral hemorrhages and detection of secondary hemorrhages using electrical impedance tomography

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