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Advances in electrical impedance tomography-based brain imaging

Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment. Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrod...

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Autores principales: Ke, Xi-Yang, Hou, Wei, Huang, Qi, Hou, Xue, Bao, Xue-Ying, Kong, Wei-Xuan, Li, Cheng-Xiang, Qiu, Yu-Qi, Hu, Si-Yi, Dong, Li-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883715/
https://www.ncbi.nlm.nih.gov/pubmed/35227324
http://dx.doi.org/10.1186/s40779-022-00370-7
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author Ke, Xi-Yang
Hou, Wei
Huang, Qi
Hou, Xue
Bao, Xue-Ying
Kong, Wei-Xuan
Li, Cheng-Xiang
Qiu, Yu-Qi
Hu, Si-Yi
Dong, Li-Hua
author_facet Ke, Xi-Yang
Hou, Wei
Huang, Qi
Hou, Xue
Bao, Xue-Ying
Kong, Wei-Xuan
Li, Cheng-Xiang
Qiu, Yu-Qi
Hu, Si-Yi
Dong, Li-Hua
author_sort Ke, Xi-Yang
collection PubMed
description Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment. Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrodes on the body surface to estimate the spatial distribution of electrical properties of tissues. EIT offers many advantages over other neuroimaging technologies, which has led to its potential clinical use. This qualitative review provides an overview of the basic principles, algorithms, and system composition of EIT. Recent advances in the field of EIT are discussed in the context of epilepsy, stroke, brain injuries and edema, and other brain diseases. Further, we summarize factors limiting the development of brain EIT and highlight prospects for the field. In epilepsy imaging, there have been advances in EIT imaging depth, from cortical to subcortical regions. In stroke research, a bedside EIT stroke monitoring system has been developed for clinical practice, and data support the role of EIT in multi-modal imaging for diagnosing stroke. Additionally, EIT has been applied to monitor the changes in brain water content associated with cerebral edema, enabling the early identification of brain edema and the evaluation of mannitol dehydration. However, anatomically realistic geometry, inhomogeneity, cranium completeness, anisotropy and skull type, etc., must be considered to improve the accuracy of EIT modeling. Thus, the further establishment of EIT as a mature and routine diagnostic technique will necessitate the accumulation of more supporting evidence.
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spelling pubmed-88837152022-03-07 Advances in electrical impedance tomography-based brain imaging Ke, Xi-Yang Hou, Wei Huang, Qi Hou, Xue Bao, Xue-Ying Kong, Wei-Xuan Li, Cheng-Xiang Qiu, Yu-Qi Hu, Si-Yi Dong, Li-Hua Mil Med Res Review Novel advances in the field of brain imaging have enabled the unprecedented clinical application of various imaging modalities to facilitate disease diagnosis and treatment. Electrical impedance tomography (EIT) is a functional imaging technique that measures the transfer impedances between electrodes on the body surface to estimate the spatial distribution of electrical properties of tissues. EIT offers many advantages over other neuroimaging technologies, which has led to its potential clinical use. This qualitative review provides an overview of the basic principles, algorithms, and system composition of EIT. Recent advances in the field of EIT are discussed in the context of epilepsy, stroke, brain injuries and edema, and other brain diseases. Further, we summarize factors limiting the development of brain EIT and highlight prospects for the field. In epilepsy imaging, there have been advances in EIT imaging depth, from cortical to subcortical regions. In stroke research, a bedside EIT stroke monitoring system has been developed for clinical practice, and data support the role of EIT in multi-modal imaging for diagnosing stroke. Additionally, EIT has been applied to monitor the changes in brain water content associated with cerebral edema, enabling the early identification of brain edema and the evaluation of mannitol dehydration. However, anatomically realistic geometry, inhomogeneity, cranium completeness, anisotropy and skull type, etc., must be considered to improve the accuracy of EIT modeling. Thus, the further establishment of EIT as a mature and routine diagnostic technique will necessitate the accumulation of more supporting evidence. BioMed Central 2022-02-28 /pmc/articles/PMC8883715/ /pubmed/35227324 http://dx.doi.org/10.1186/s40779-022-00370-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Ke, Xi-Yang
Hou, Wei
Huang, Qi
Hou, Xue
Bao, Xue-Ying
Kong, Wei-Xuan
Li, Cheng-Xiang
Qiu, Yu-Qi
Hu, Si-Yi
Dong, Li-Hua
Advances in electrical impedance tomography-based brain imaging
title Advances in electrical impedance tomography-based brain imaging
title_full Advances in electrical impedance tomography-based brain imaging
title_fullStr Advances in electrical impedance tomography-based brain imaging
title_full_unstemmed Advances in electrical impedance tomography-based brain imaging
title_short Advances in electrical impedance tomography-based brain imaging
title_sort advances in electrical impedance tomography-based brain imaging
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883715/
https://www.ncbi.nlm.nih.gov/pubmed/35227324
http://dx.doi.org/10.1186/s40779-022-00370-7
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