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Applications of Electrical Impedance Tomography in Neurology

INTRODUCTION: Electrical impedance tomography (EIT) is a non-invasive technique utilized in various medical applications, including brain imaging and other neurological diseases. Recognizing the physiological and anatomical characteristics of organs based on their electrical properties is one of the...

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Autores principales: Mirhoseini, Mehri, Rezanejad Gatabi, Zahra, Das, Sayantan, Joveini, Sepideh, Rezanezhad Gatabi, Iman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258591/
https://www.ncbi.nlm.nih.gov/pubmed/37313030
http://dx.doi.org/10.32598/bcn.2021.3087.1
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author Mirhoseini, Mehri
Rezanejad Gatabi, Zahra
Das, Sayantan
Joveini, Sepideh
Rezanezhad Gatabi, Iman
author_facet Mirhoseini, Mehri
Rezanejad Gatabi, Zahra
Das, Sayantan
Joveini, Sepideh
Rezanezhad Gatabi, Iman
author_sort Mirhoseini, Mehri
collection PubMed
description INTRODUCTION: Electrical impedance tomography (EIT) is a non-invasive technique utilized in various medical applications, including brain imaging and other neurological diseases. Recognizing the physiological and anatomical characteristics of organs based on their electrical properties is one of the main applications of EIT, as each variety of tissue structure has its own electrical characteristics. The high potential of brain EIT is established in real-time supervision and early recognition of cerebral brain infarction, hemorrhage, and other diseases. In this paper, we review the studies on the neurological applications of EIT. METHODS: EIT calculates the internal electrical conductivity distribution of an organ by measuring its surface impedance. A series of electrodes are placed on the surface of the target tissue, and small alternating currents are injected. The related voltages are then observed and analyzed. The electrical permittivity and conductivity distributions inside the tissue are reconstructed by measuring the electrode voltages. RESULTS: The electrical characteristic of biological tissues is remarkably dependent on their structures. Some tissues are better electrical conductors than the others since they have more ions that can carry the electrical charges. This difference is attributed to changes in cellular water content, membrane properties, and destruction of tight junctions within cell membranes. CONCLUSION: EIT is an extremely practical device for brain imaging, capturing fast electrical activities in the brain, imaging epileptic seizures, detecting intracranial bleeding, detecting cerebral edema, and diagnosing stroke.
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spelling pubmed-102585912023-06-13 Applications of Electrical Impedance Tomography in Neurology Mirhoseini, Mehri Rezanejad Gatabi, Zahra Das, Sayantan Joveini, Sepideh Rezanezhad Gatabi, Iman Basic Clin Neurosci Review Paper INTRODUCTION: Electrical impedance tomography (EIT) is a non-invasive technique utilized in various medical applications, including brain imaging and other neurological diseases. Recognizing the physiological and anatomical characteristics of organs based on their electrical properties is one of the main applications of EIT, as each variety of tissue structure has its own electrical characteristics. The high potential of brain EIT is established in real-time supervision and early recognition of cerebral brain infarction, hemorrhage, and other diseases. In this paper, we review the studies on the neurological applications of EIT. METHODS: EIT calculates the internal electrical conductivity distribution of an organ by measuring its surface impedance. A series of electrodes are placed on the surface of the target tissue, and small alternating currents are injected. The related voltages are then observed and analyzed. The electrical permittivity and conductivity distributions inside the tissue are reconstructed by measuring the electrode voltages. RESULTS: The electrical characteristic of biological tissues is remarkably dependent on their structures. Some tissues are better electrical conductors than the others since they have more ions that can carry the electrical charges. This difference is attributed to changes in cellular water content, membrane properties, and destruction of tight junctions within cell membranes. CONCLUSION: EIT is an extremely practical device for brain imaging, capturing fast electrical activities in the brain, imaging epileptic seizures, detecting intracranial bleeding, detecting cerebral edema, and diagnosing stroke. Tehran University of Medical Sciences 2022 2022-09-01 /pmc/articles/PMC10258591/ /pubmed/37313030 http://dx.doi.org/10.32598/bcn.2021.3087.1 Text en Copyright© 2022 Iranian Neuroscience Society https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Review Paper
Mirhoseini, Mehri
Rezanejad Gatabi, Zahra
Das, Sayantan
Joveini, Sepideh
Rezanezhad Gatabi, Iman
Applications of Electrical Impedance Tomography in Neurology
title Applications of Electrical Impedance Tomography in Neurology
title_full Applications of Electrical Impedance Tomography in Neurology
title_fullStr Applications of Electrical Impedance Tomography in Neurology
title_full_unstemmed Applications of Electrical Impedance Tomography in Neurology
title_short Applications of Electrical Impedance Tomography in Neurology
title_sort applications of electrical impedance tomography in neurology
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258591/
https://www.ncbi.nlm.nih.gov/pubmed/37313030
http://dx.doi.org/10.32598/bcn.2021.3087.1
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