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 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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http://dx.doi.org/10.1109/TBME.2021.3120929 | DOI Listing |
Muscle Nerve
January 2025
Division of Neurology, Department of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Introduction/aims: Spirometry is the conventional means to measure lung function in amyotrophic lateral sclerosis (ALS), but is dependent on patient effort and bulbar strength. We aimed to use electric impedance tomography (EIT), an emerging non-invasive imaging modality, to measure dynamic lung volume changes.
Methods: Twenty-one patients with ALS underwent sitting and supine spirometry for forced vital capacity (FVC), and sitting and supine EIT.
Physiol Meas
January 2025
Chair of Measurements and Sensor Technology, Technische Universitat Chemnitz, Reichenhainerstrasse 70, Chemnitz, 09111, GERMANY.
Objective: Electrical Impedance Tomography (EIT) is a non-invasive technique used for lung imaging. A significant challenge in EIT is reconstructing images of deeper thoracic regions due to the low sensitivity of boundary voltages to internal conductivity variations. The current injection pattern is decisive as it influences the current path, boundary voltages, and their sensitivity to tissue changes.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Department of Mathematics and School of Biomedical Engineering, Colorado State University, Fort Collins, CO.
The purpose of this work is to evaluate the feasibility of lung imaging using 3D electrical impedance tomography (EIT) during spontaneous breathing trials (SBTs) in patients with acute hypoxic respiratory failure. EIT is a noninvasive, nonionizing, real-time functional imaging technique, suitable for bedside monitoring in critically ill patients. EIT data were collected in 24 mechanically ventilated patients immediately preceding and during a SBT on two rows of 16 electrodes using a simultaneous multicurrent source EIT system for 3D imaging.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
ITACA Institute, Universitat Politècnica de València, València, Spain.
Background: Complexity and signal recurrence metrics obtained from body surface potential mapping (BSPM) allow quantifying atrial fibrillation (AF) substrate complexity. This study aims to correlate electrocardiographic imaging (ECGI) detected reentrant patterns with BSPM-calculated signal complexity and recurrence metrics.
Methods: BSPM signals were recorded from 28 AF patients (17 male, 11 women, 62.
Physiol Meas
January 2025
Chair of Measurements and Sensor Technology, Technische Universitat Chemnitz, Reichenhainerstrasse 70, Chemnitz, 09111, GERMANY.
Objective: Electrical Impedance Tomography (EIT) is a non-invasive technique used for lung imaging. A significant challenge in EIT is reconstructing images of deeper thoracic regions due to the low sensitivity of boundary voltages to internal conductivity variations. The current injection pattern is decisive as it influences the current path, boundary voltages, and their sensitivity to tissue changes.
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