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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.
Afiliação
  • Ke XY; Department of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
  • Hou W; Jilin Provincial Key Laboratory of Radiation Oncology and Therapy, The First Hospital of Jilin University, Changchun, 130021, China.
  • Huang Q; NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China.
  • Hou X; Department of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
  • Bao XY; Jilin Provincial Key Laboratory of Radiation Oncology and Therapy, The First Hospital of Jilin University, Changchun, 130021, China.
  • Kong WX; NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China.
  • Li CX; CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, Jiangsu, China.
  • Qiu YQ; Department of Radiation Oncology and Therapy, The First Hospital of Jilin University, 130021, Changchun, China.
  • Hu SY; Jilin Provincial Key Laboratory of Radiation Oncology and Therapy, The First Hospital of Jilin University, Changchun, 130021, China.
  • Dong LH; NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China.
Mil Med Res ; 9(1): 10, 2022 02 28.
Article em En | MEDLINE | ID: mdl-35227324
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article