1.Department of Radiation Oncology and Therapy, the First Hospital of Jilin University, Changchun 130021, China
2.Jilin Provincial Key Laboratory of Radiation Oncology and Therapy, the First Hospital of Jilin University, Changchun 130021, China
3.NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun 130021, China
4.CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, Jiangsu, China
* husiyi@sibet.ac.cn;
dlh@jlu.edu.cn
纸质出版:2022-12
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Advances in electrical impedance tomography-based brain imaging[J]. 解放军医学杂志(英文版), 2022,9(6):705-726.
Ke XY, Hou W, Huang Q, Hou X, Bao XY, Kong WX, et al. Advances in electrical impedance tomography-based brain imaging. Mil Med Res. 2022;9(1):10.
Advances in electrical impedance tomography-based brain imaging[J]. 解放军医学杂志(英文版), 2022,9(6):705-726. DOI: 10.1186/s40779-022-00370-7.
Ke XY, Hou W, Huang Q, Hou X, Bao XY, Kong WX, et al. Advances in electrical impedance tomography-based brain imaging. Mil Med Res. 2022;9(1):10. DOI: 10.1186/s40779-022-00370-7.
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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