Literature DB >> 28715324

Electrical Impedance Tomography: Tissue Properties to Image Measures.

Andy Adler1, Alistair Boyle1.   

Abstract

Electrical impedance tomography (EIT) uses electrical stimulation and measurement at the body surface to image the electrical properties of internal tissues. It has the advantage of noninvasiveness and high temporal resolution but suffers from poor spatial resolution and sensitivity to electrode movement and contact quality. EIT can be useful to applications, where there are conductive contrasts between tissues, fluids, or gasses, such as imaging of cancerous or ischemic tissue or functional monitoring of breathing, blood flow, gastric motility, and neural activity. The past decade has seen clinical application and commercial activity using EIT for ventilation monitoring. Interpretation of EIT-based measures is complex, and this review paper focuses on describing the image interpretation "pathway." We review this pathway, from Tissue Electrical Properties, EIT Electrodes & Hardware, Sensitivity, Image Reconstruction, Image Processing to EIT Measures. The relationship is discussed between the clinically relevant parameters and the reconstructed properties. An overview is given of areas of EIT application and of our perspectives for research and development.Electrical impedance tomography (EIT) uses electrical stimulation and measurement at the body surface to image the electrical properties of internal tissues. It has the advantage of noninvasiveness and high temporal resolution but suffers from poor spatial resolution and sensitivity to electrode movement and contact quality. EIT can be useful to applications, where there are conductive contrasts between tissues, fluids, or gasses, such as imaging of cancerous or ischemic tissue or functional monitoring of breathing, blood flow, gastric motility, and neural activity. The past decade has seen clinical application and commercial activity using EIT for ventilation monitoring. Interpretation of EIT-based measures is complex, and this review paper focuses on describing the image interpretation "pathway." We review this pathway, from Tissue Electrical Properties, EIT Electrodes & Hardware, Sensitivity, Image Reconstruction, Image Processing to EIT Measures. The relationship is discussed between the clinically relevant parameters and the reconstructed properties. An overview is given of areas of EIT application and of our perspectives for research and development.

Entities:  

Keywords:  Biomedical measurement; Blood; Conductivity; Electrodes; Monitoring; Tomography

Mesh:

Year:  2017        PMID: 28715324     DOI: 10.1109/TBME.2017.2728323

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  21 in total

1.  Real-Time Measurements of Relative Tidal Volume and Stroke Volume Using Electrical Impedance Tomography with Spatial Filters: A Feasibility Study in a Swine Model Under Normal and Reduced Ventilation.

Authors:  Geuk Young Jang; Chi Ryang Chung; Ryoung Eun Ko; Jin Young Lee; Tong In Oh; Gee Young Suh; Yongmin Kim; Eung Je Woo
Journal:  Ann Biomed Eng       Date:  2022-08-12       Impact factor: 4.219

2.  Simultaneous Imaging of Bio- and Non-Conductive Targets by Combining Frequency and Time Difference Imaging Methods in Electrical Impedance Tomography.

Authors:  Xue Bai; Dun Liu; Jinzhao Wei; Xu Bai; Shijie Sun; Wenbin Tian
Journal:  Biosensors (Basel)       Date:  2021-05-31

Review 3.  Imaging the Injured Lung: Mechanisms of Action and Clinical Use.

Authors:  Maurizio Cereda; Yi Xin; Alberto Goffi; Jacob Herrmann; David W Kaczka; Brian P Kavanagh; Gaetano Perchiazzi; Takeshi Yoshida; Rahim R Rizi
Journal:  Anesthesiology       Date:  2019-09       Impact factor: 7.892

4.  An Ex Vivo Study of Outward Electrical Impedance Tomography (OEIT) for Intravascular Imaging.

Authors:  Yuan Luo; Dong Huang; Zi-Yu Huang; Tzung K Hsiai; Yu-Chong Tai
Journal:  IEEE Trans Biomed Eng       Date:  2022-01-21       Impact factor: 4.538

5.  Sparse image reconstruction of intracerebral hemorrhage with electrical impedance tomography.

Authors:  Yanyan Shi; Yuehui Wu; Meng Wang; Zhiwei Tian; Xiaolong Kong; Xiaoyue He
Journal:  J Med Imaging (Bellingham)       Date:  2021-01-13

6.  Combing signal processing methods with algorithm priori information to produce synergetic improvements on continuous imaging of brain electrical impedance tomography.

Authors:  Haoting Li; Rongqing Chen; Canhua Xu; Benyuan Liu; Xiuzhen Dong; Feng Fu
Journal:  Sci Rep       Date:  2018-07-04       Impact factor: 4.379

7.  Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities.

Authors:  Bup Kyung Choi; Nitish Katoch; Hyung Joong Kim; Ji Ae Park; In Ok Ko; Oh In Kwon; Eung Je Woo
Journal:  Biomed Eng Online       Date:  2020-05-24       Impact factor: 2.819

8.  Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.

Authors:  Andres Vejar; Tomasz Rymarczyk
Journal:  Sensors (Basel)       Date:  2021-05-10       Impact factor: 3.576

9.  Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers.

Authors:  Fabian Braun; Martin Proença; Andy Adler; Thomas Riedel; Jean-Philippe Thiran; Josep Solà
Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

10.  Non-Invasive Electrical Impedance Tomography for Multi-Scale Detection of Liver Fat Content.

Authors:  Yuan Luo; Parinaz Abiri; Shell Zhang; Chih-Chiang Chang; Amir H Kaboodrangi; Rongsong Li; Ashish K Sahib; Alex Bui; Rajesh Kumar; Mary Woo; Zhaoping Li; René R Sevag Packard; Yu-Chong Tai; Tzung K Hsiai
Journal:  Theranostics       Date:  2018-02-08       Impact factor: 11.556

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