Applications of Electrical Impedance Tomography in Neurology.

IF 1 Q4 NEUROSCIENCES
Mehri Mirhoseini, Zahra Rezanejad Gatabi, Sayantan Das, Sepideh Joveini, Iman Rezanezhad Gatabi
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引用次数: 0

Abstract

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.

Abstract Image

Abstract Image

电阻抗断层成像在神经病学中的应用。
简介:电阻抗断层成像(EIT)是一种非侵入性技术,用于各种医学应用,包括脑成像和其他神经疾病。根据器官的电学特性识别器官的生理和解剖特征是EIT的主要应用之一,因为各种组织结构都有自己的电学特性。脑EIT的高潜力建立在对脑梗死、出血和其他疾病的实时监测和早期识别中。本文综述了EIT在神经系统中的应用研究。方法:EIT通过测量器官的表面阻抗来计算器官的内部电导率分布。将一系列电极放置在目标组织的表面,并注入小的交流电。然后对相关电压进行观察和分析。通过测量电极电压来重建组织内部的介电常数和电导率分布。结果:生物组织的电学特性明显依赖于其结构。一些组织比其他组织更好的导电体,因为它们有更多的离子可以携带电荷。这种差异归因于细胞含水量、膜性质的变化以及细胞膜内紧密连接的破坏。结论:EIT是一种非常实用的大脑成像设备,可以捕捉大脑中的快速电活动,成像癫痫发作,检测颅内出血,检测脑水肿,诊断中风。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
64
审稿时长
4 weeks
期刊介绍: BCN is an international multidisciplinary journal that publishes editorials, original full-length research articles, short communications, reviews, methodological papers, commentaries, perspectives and “news and reports” in the broad fields of developmental, molecular, cellular, system, computational, behavioral, cognitive, and clinical neuroscience. No area in the neural related sciences is excluded from consideration, although priority is given to studies that provide applied insights into the functioning of the nervous system. BCN aims to advance our understanding of organization and function of the nervous system in health and disease, thereby improving the diagnosis and treatment of neural-related disorders. Manuscripts submitted to BCN should describe novel results generated by experiments that were guided by clearly defined aims or hypotheses. BCN aims to provide serious ties in interdisciplinary communication, accessibility to a broad readership inside Iran and the region and also in all other international academic sites, effective peer review process, and independence from all possible non-scientific interests. BCN also tries to empower national, regional and international collaborative networks in the field of neuroscience in Iran, Middle East, Central Asia and North Africa and to be the voice of the Iranian and regional neuroscience community in the world of neuroscientists. In this way, the journal encourages submission of editorials, review papers, commentaries, methodological notes and perspectives that address this scope.
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