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Journal articles on the topic 'Image processing of Electrical impedance tomography'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Wang, Zeying, Yixuan Sun, and Jiaqing Li. "Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography." Sensors 24, no. 2 (2024): 333. http://dx.doi.org/10.3390/s24020333.

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This paper introduces a sensitivity matrix decomposition regularization (SMDR) method for electric impedance tomography (EIT). Using k-means clustering, the EIT-reconstructed image can be divided into four clusters, derived based on image features, representing posterior information. The sensitivity matrix is then decomposed into distinct work areas based on these clusters. The elimination of smooth edge effects is achieved through differentiation of the images from the decomposed sensitivity matrix and further post-processing reliant on image features. The algorithm ensures low computational

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2

Dobson, D. C., and F. Santosa. "An image-enhancement technique for electrical impedance tomography." Inverse Problems 10, no. 2 (1994): 317–34. http://dx.doi.org/10.1088/0266-5611/10/2/008.

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Chitturi, Venkatratnam, and Nagi Farrukh. "Narrowband array processing beamforming technique for electrical impedance tomography." Journal of Electrical Bioimpedance 10, no. 1 (2019): 96–102. http://dx.doi.org/10.2478/joeb-2019-0014.

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Abstract Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various fields of engineering. Beamforming techniques stem from the array signal processing field and is used for spatial filtering of array data to evaluate the location of objects. In this work the circular electrodes are treated as an array of sensors and beamforming technique is used to localize the object(s) in an electrical field. The conductivity distributions within a test tank is obtained by an EIT system in terms of electrode vo

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Dimas, Christos, Vassilis Alimisis, Ioannis Georgakopoulos, Nikolaos Voudoukis, Nikolaos Uzunoglu, and Paul P. Sotiriadis. "Evaluation of Thoracic Equivalent Multiport Circuits Using an Electrical Impedance Tomography Hardware Simulation Interface." Technologies 9, no. 3 (2021): 58. http://dx.doi.org/10.3390/technologies9030058.

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Electrical impedance tomography is a low-cost, safe, and high temporal resolution medical imaging modality which finds extensive application in real-time thoracic impedance imaging. Thoracic impedance changes can reveal important information about the physiological condition of patients’ lungs. In this way, electrical impedance tomography can be a valuable tool for monitoring patients. However, this technique is very sensitive to measurement noise or possible minor signal errors, coming from either the hardware, the electrodes, or even particular biological signals. Thus, the design of a good

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Huang, Cunkui, Jinhee Lee, William W. Schultz, and Steven L. Ceccio. "Singularity image method for electrical impedance tomography of bubbly flows." Inverse Problems 19, no. 4 (2003): 919–31. http://dx.doi.org/10.1088/0266-5611/19/4/309.

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Stefaniak, Barbara, Tomasz Rymarczyk, Dariusz Wójcik, et al. "Energy Efficiency in Measurement and Image Reconstruction Processes in Electrical Impedance Tomography." Energies 17, no. 23 (2024): 5828. http://dx.doi.org/10.3390/en17235828.

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This paper presents an energy optimization approach to applying electrical impedance tomography (EIT) for medical diagnostics, particularly in detecting lung diseases. The designed Lung Electrical Tomography System (LETS) incorporates 102 electrodes and advanced image reconstruction algorithms. Energy efficiency is achieved through the use of modern electronic components and high-efficiency DC/DC converters that reduce the size and weight of the device without the need for additional cooling. Special attention is given to minimizing energy consumption during electromagnetic measurements and da

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Zhao, Shuanfeng, Yao Miao, Rongxia Chai, et al. "High-Precision Electrical Impedance Tomography for Electrical Conductivity of Metallic Materials." Advances in Materials Science and Engineering 2022 (March 21, 2022): 1–16. http://dx.doi.org/10.1155/2022/3611691.

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Metal materials are subject to deformation, internal stress distribution, and cracking during processing, all of which affect the distribution of electrical conductivity of the metal. Suppose we can detect the conductivity distribution of metal materials in real time. In that case, we can complete the inverse imaging of metal material properties, structures, cracks, etc. and realize nondestructive flaw detection. However, metal materials' small resistance, high electrical conductivity, and susceptibility of voltage signals to noise signal interference make an accurate measurement of metal cond

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Saha, Nabanita, and Mohammad Anisur Rahaman. "Bone cancer detection using electrical impedance tomography." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 1 (2021): 245. http://dx.doi.org/10.11591/ijeecs.v24.i1.pp245-252.

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Bone cancer is an uncommon sort of malignancy that alludes to irregular development of tissue inside the bone, with high opportunity to spread to different pieces of the body. It is extremely important to distinguish bone cancer at the beginning phase to cure it productively. Presently, in addition to a physical examination, magnetic resonance imaging, blood tests, positron emission tomography (PET), computed tomography (CT) or PET-CT scan, X-ray, Bone scan, Biopsy and computed tomography scan, are used to diagnose or determine the stage (or extent) of bone sarcoma. But these methods are costl

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9

He, Qing, and Xiao Yan Chen. "EIT Image Processing Based on 2-D Empirical Mode Decomposition." Applied Mechanics and Materials 268-270 (December 2012): 1906–9. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.1906.

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Electrical impedance tomography (EIT) imaging is a new kind of imaging technology that has developed in recent years. This technology has many advantages such as noninvasive, small volume and so on, but there are also many shortcomings such as imaging quality is not high, in order to improve the image quality, image processing methods is used in this paper. Significant different with the traditional method, empirical mode decomposition method does not require any prior basis function. It is an adaptive time-frequency analysis method. The two-dimensional empirical mode decomposition algorithm i

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Aleksanyan, Grayr, Nikolay Gorbatenko, Maria Konko, and Cuong Nguyen Manh. "Computer model for acquisition, processing, analysis and visualization of measurement data by electrical impedance tomography." E3S Web of Conferences 389 (2023): 07009. http://dx.doi.org/10.1051/e3sconf/202338907009.

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In this article, a computer model for the collection, processing, analysis and visualization of measurement data by the method of electrical impedance tomography has been developed. The essence of the work performed is to build a computer model of the phantom, electrodes, conductive medium and inhomogeneities in the COMSOL Multiphysics environment to study the conductivity of objects in order to reduce the error in determining the size of the inhomogeneity in the reconstructed image. The study is performed by placing an inhomogeneity phantom in the conductive region. Based on the data obtained

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Ain, Khusnul, Osmalina Nur Rahma, Alfian Pramudita Putra, Nur Syavinas, Dudi Darmawan, and Harsh Sohal. "Bone fracture detection using electrical impedance tomography based on STEMlab Red Pitaya." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 1 (2023): 150. http://dx.doi.org/10.11591/ijeecs.v32.i1.pp150-159.

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<span>Bone fractures can result in accidents, osteoporosis, bone cancer, or other conditions. X-Ray is a medical imaging technique often used to detect bone fractures. However, X-Rays can have radiation effects that harm patients, health workers, and the environment. Electrical impedance tomography (EIT) is a system that can obtain object images based on the electrical impedance distribution. In bone fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction which indicates the presence of a high conductivity diffusion material

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Jia, Yuheng. "A review on reconstruction algorithms and hardware implementation in electrical impedance tomography." Journal of Physics: Conference Series 2634, no. 1 (2023): 012038. http://dx.doi.org/10.1088/1742-6596/2634/1/012038.

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Abstract The current medical imaging techniques can only be used in a few diagnostic scenarios after the development of qualitative lesions, and they frequently include the use of radiation, among other things. Electrical impedance tomography, in contrast, uses no radiation and is non-invasive. Electric impedance tomography (EIT), which has these benefits, is frequently utilized for the early stages of disease detection and treatment. This study discusses the research advancements, image reconstruction methods, hardware system design, and clinical applications of EIT in the treatment of lung d

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Aris, Widodo, and Endarko . "Design of low-cost and high-speed portable two-dimensional electrical impedance tomography (EIT)." International Journal of Engineering & Technology 7, no. 4 (2019): 6458–63. http://dx.doi.org/10.14419/ijet.v7i4.23298.

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Electrical Impedance Tomography (EIT) is a non-invasive of biomedical imaging technique that used constant electric current as a signal modality. The main proposed study was to design two-dimensional EIT system that could support high speed for detection of anomalies inside the practical phantom and has a low cost in fabrication. High-speed portable two-dimensional EIT has been successfully designed and fabricated to generate a reconstructed image from data acquisition in the practical phantom with 16 electrodes. The manufactured EIT equipped with a 7-inch screen as monitoring display, Raspber

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14

Dai, Meng, Xiaopeng Li, Zhanqi Zhao, and Lin Yang. "Reduction of Spike-like Noise in Clinical Practice for Thoracic Electrical Impedance Tomography Using Robust Principal Component Analysis." Bioengineering 12, no. 4 (2025): 402. https://doi.org/10.3390/bioengineering12040402.

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Thoracic electrical impedance tomography (EIT) provides real-time, bedside imaging of pulmonary function and has demonstrated significant clinical value in guiding treatment strategies for critically ill patients. However, the practical application of EIT remains challenging due to its susceptibility to measurement disturbances, such as electrode contact problems and patient movement. These disturbances often manifest as spike-like noise that can severely degrade EIT image quality. To address this issue, we propose a robust Principal Component Analysis (RPCA)-based approach that models EIT dat

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Busarello Wolff, Julia Grasiela, Rafael Kingeski, Wellington Pinheiro dos Santos, José Cristani, Sandra Davi Traverso, and Aleksander Sade Paterno. "Multifrequency Electrical Impedance Tomography Images for Swine Pneumonia Detection Using Conductivity Differences." Electronics 13, no. 8 (2024): 1463. http://dx.doi.org/10.3390/electronics13081463.

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This article introduces a new MfEIT UDESC Mark I system, which consists of a 32-electrode setup featuring a modified Howland current source, low cost, portability, and non-radiation. The system is capable of reconstructing electrical conductivity tomographic images at a rate of 30.624 frames per second, taking about 5 min for imaging. The current source employs a 0.5 mA adjacent current application pattern with frequencies ranging from 10 kHz to 1 MHz. This article outlines the hardware, firmware, and software design specifications, which include the design of the current source, calibration p

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Ryndin, Eugeny, Boris Konoplev, and Irina Kulikova. "Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography." Electronics 7, no. 8 (2018): 131. http://dx.doi.org/10.3390/electronics7080131.

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In this paper, we propose a method of distributed sensory systems designing for monitoring of surface cracks in highly loaded constructions based on electrical impedance tomography. A thin conductive film with contacts on the perimeter applied on the monitored surface is used as a crack sensor. Registration and monitoring of surface cracks using the developed modified method of electrical impedance tomography (EIT) are carried out. The proposed method differs from the traditional EIT method as it has considerably lower computational complexity with sufficient resolving power. This makes it pos

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Kim, Yong Jung, Ohin Kwon, Jin Keun Seo, and Eung Je Woo. "Uniqueness and convergence of conductivity image reconstruction in magnetic resonance electrical impedance tomography." Inverse Problems 19, no. 5 (2003): 1213–25. http://dx.doi.org/10.1088/0266-5611/19/5/312.

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Król, K., T. Rymarczyk, K. Niderla, et al. "Application of classification trees to identify embankment seepage." Journal of Physics: Conference Series 2408, no. 1 (2022): 012022. http://dx.doi.org/10.1088/1742-6596/2408/1/012022.

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Abstract The article discusses a method to control seepage in shafts. A special shaft model was built for this purpose. The paper mainly focuses on electrical impedance tomography with image reconstruction where the machine learning method was used, then the reconstruction results were compared and different numerical models were applied. The key parameters in electrical tomography are the speed of analysis and the accuracy of the reconstructed objects. Applications most often present challenges in obtaining spatial data from observations outside the measurement limits. Inverse problems are so

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Aisya, Rohadatul, Syifa Candiki Samatha, Khusnul Ain, and Suryani Dyah Astuti. "Application Of Electrical Impedance Tomography For Detecting Meat (Body Tissue): A Study On Frequency And Amplitude Variations." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 7, no. 2 (2025): 312–20. https://doi.org/10.35882/ijeeemi.v7i2.54.

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Electrical Impedance Tomography (EIT) is an emerging non-invasive imaging technique with significant potential for detecting tissue anomalies; however, its performance is highly sensitive to variations in the frequency and amplitude of the injected electrical signals, which can lead to challenges in accurately differentiating between tissue types and detecting subtle pathological changes. This study aims to optimize EIT performance by systematically investigating the impact of signal frequency and amplitude on image reconstruction quality, thereby enhancing diagnostic accuracy. A portable mult

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20

Gómez-Cortés, Juan Carlos, José Javier Díaz-Carmona, José Alfredo Padilla-Medina, et al. "Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review." Micromachines 13, no. 4 (2022): 496. http://dx.doi.org/10.3390/mi13040496.

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Impedance measuring acquisition systems focused on breast tumor detection, as well as image processing techniques for 3D imaging, are reviewed in this paper in order to define potential opportunity areas for future research. The description of reported works using electrical impedance tomography (EIT)-based techniques and methodologies for 3D bioimpedance imaging of breast tissues with tumors is presented. The review is based on searching and analyzing related works reported in the most important research databases and is structured according to the Preferred Reporting Items for Systematic Rev

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21

Setyawan, Galih, Prima Asmara Sejati, Kiagus Aufa Ibrahim, and Masahiro Takei. "Breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation-time distribution (EIT–GRTD)." Journal of Electrical Bioimpedance 15, no. 1 (2024): 99–106. http://dx.doi.org/10.2478/joeb-2024-0011.

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Abstract The comparison between breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation time distribution (EIT-GRTD) and conventional EIT has been conducted to evaluate the optimal frequency for cancer detection f cancer. The EIT-GRTD has two steps, which are 1) the determination of the f cancer and 2) the refinement of breast reconstruction through time-constant enhancement. This paper employs two-dimensional numerical simulations by a finite element method (FEM) software to replicate the process of breast cancer recognition. The simulation is constru

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Wanta, Damian, Oliwia Makowiecka, Waldemar T. Smolik, et al. "Numerical Evaluation of Complex Capacitance Measurement Using Pulse Excitation in Electrical Capacitance Tomography." Electronics 11, no. 12 (2022): 1864. http://dx.doi.org/10.3390/electronics11121864.

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Electrical capacitance tomography (ECT) is a technique of imaging the distribution of permittivity inside an object under test. Capacitance is measured between the electrodes surrounding the object, and the image is reconstructed from these data by solving the inverse problem. Although both sinusoidal excitation and pulse excitation are used in the sensing circuit, only the AC method is used to measure both components of complex capacitance. In this article, a novel method of complex capacitance measurement using pulse excitation is proposed for ECT. The real and imaginary components are calcu

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Choridah, L., D. Kurniadi, K. Ain, et al. "Comparison of electrical impedance tomography and ultrasonography for determination of solid and cystic lesion resembling breast tumor embedded in chicken phantom." Journal of Electrical Bioimpedance 12, no. 1 (2021): 63–68. http://dx.doi.org/10.2478/joeb-2021-0008.

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Abstract Ultrasonography (US) and Electrical Impedance Tomography (EIT) can be used to detect breast cancer. Ultrasonography is based on non-ionizing radiations without adverse biological effects. A set of electrodes was placed around the torso and a small alternating current (AC) was injected via two of the electrodes into the object. This study aimed to acquire preliminary data to evaluate the EIT method for differentiation of artificial solid and cystic tumors in comparison to standard US. This study used a phantom made from chicken meat. In order to obtain the image of the solid tumor, an

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Milne, Stephen, Jacqueline Huvanandana, Chinh Nguyen, et al. "Time-based pulmonary features from electrical impedance tomography demonstrate ventilation heterogeneity in chronic obstructive pulmonary disease." Journal of Applied Physiology 127, no. 5 (2019): 1441–52. http://dx.doi.org/10.1152/japplphysiol.00304.2019.

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Pulmonary electrical impedance tomography (EIT) is a functional imaging technique that allows real-time monitoring of ventilation distribution. Ventilation heterogeneity (VH) is a characteristic feature of chronic obstructive pulmonary disease (COPD) and has previously been quantified using features derived from tidal variations in the amplitude of the EIT signal. However, VH may be better described by time-based metrics, the measurement of which is made possible by the high temporal resolution of EIT. We aimed 1) to quantify VH using novel time-based EIT metrics and 2) to determine the physio

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Weigand, Maximilian, Egon Zimmermann, Valentin Michels, Johan Alexander Huisman, and Andreas Kemna. "Design and operation of a long-term monitoring system for spectral electrical impedance tomography (sEIT)." Geoscientific Instrumentation, Methods and Data Systems 11, no. 2 (2022): 413–33. http://dx.doi.org/10.5194/gi-11-413-2022.

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Abstract. Spectral electrical impedance tomography (sEIT) is increasingly used to characterise the structure of subsurface systems using measurements in the megahertz to kilohertz range. Additionally, hydrogeophysical and biogeophysical processes are characterised and monitored using sEIT. The method combines multiple, spatially distributed, spectroscopic measurements with tomographic inversion algorithms to obtain images of the complex electrical resistivity distribution in the subsurface at various frequencies. Spectral polarisation measurements provide additional information about the syste

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He, Wei, Zhonghua He, Xiaoming Xiao, and Bing Li. "A Novel Post-Processing Method Based on 2D Positional Error and Relative Quantity Index Images Obtained with Electrical Impedance Tomography." Journal of Medical Imaging and Health Informatics 5, no. 7 (2015): 1444–49. http://dx.doi.org/10.1166/jmihi.2015.1573.

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Javaherian, Ashkan, Amir Movafeghi, Reza Faghihi, and Effat Yahaghi. "An exhaustive criterion for estimating quality of images in electrical impedance tomography with application to clinical imaging." Journal of Visual Communication and Image Representation 24, no. 7 (2013): 773–85. http://dx.doi.org/10.1016/j.jvcir.2013.05.003.

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Andronikidis, Nikos, George Kritikakis, Antonios Vafidis, et al. "Geophysical Research on an Open Pit Mine for Geotechnical Planning and Future Land Reclamation: A Case Study from NW Macedonia, Greece." Sustainability 15, no. 19 (2023): 14476. http://dx.doi.org/10.3390/su151914476.

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In open pit mining areas, knowledge of geotechnical conditions (e.g., overburden thickness, background slope, and fault locations) ensures geotechnical safety during exploitation as well as reclamation planning. The Greek Public Power Corporation initiated a research program after stability issues emerged on the southern side of the Mavropigi open pit mine in NW Macedonia. Geotechnical wells revealed steeply dipping bedrock and thin tectonic contact, indicating the need for the detailed imaging of the subsurface for future stability measures. For this purpose, a geophysical investigation aimed

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Borcea, Liliana. "Electrical impedance tomography." Inverse Problems 18, no. 6 (2002): R99—R136. http://dx.doi.org/10.1088/0266-5611/18/6/201.

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Adler, Andy, Tao Dai, and William R. B. Lionheart. "Temporal image reconstruction in electrical impedance tomography." Physiological Measurement 28, no. 7 (2007): S1—S11. http://dx.doi.org/10.1088/0967-3334/28/7/s01.

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Hou, W. D., and Y. L. Mo. "Increasing image resolution in electrical impedance tomography." Electronics Letters 38, no. 14 (2002): 701. http://dx.doi.org/10.1049/el:20020477.

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Barber, D. C. "Image reconstruction problems in electrical impedance tomography." Clinical Physics and Physiological Measurement 11, no. 2 (1990): 181–82. http://dx.doi.org/10.1088/0143-0815/11/2/112.

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Battistel, Alberto, Jack Wilkie, Rongqing Chen, and Knut Möller. "Multifrequency image reconstruction for electrical impedance tomography." Current Directions in Biomedical Engineering 10, no. 4 (2024): 61–65. https://doi.org/10.1515/cdbme-2024-2015.

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Abstract Electrical Impedance Tomography (EIT) is a medical imaging technique that is primarily used to monitor the respiration of a patient. Because EIT is based on electrical measurements, it is a safe, non-invasive, and cost-effective imaging technique. However, the EIT image reconstruction is a severely ill-posed problem that gives low spatial resolution where only large variations in tissue conductivity can be visualized. Furthermore, widely used time difference EIT relies on a single frequency alternating current measurement which does not allow for discrimination of different tissues on

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Wang, Qi, Pengcheng Zhang, Jianming Wang, et al. "Patch-based sparse reconstruction for electrical impedance tomography." Sensor Review 37, no. 3 (2017): 257–69. http://dx.doi.org/10.1108/sr-07-2016-0126.

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Purpose Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise. Design/methodology/approach This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary opti

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Kleinermann, F., N. J. Avis, S. K. Judah, and D. C. Barber. "Three-dimensional image reconstruction for electrical impedance tomography." Physiological Measurement 17, no. 4A (1996): A77—A83. http://dx.doi.org/10.1088/0967-3334/17/4a/011.

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Miller, A. S., B. H. Blott, and T. K. Hames. "Neural networks for electrical impedance tomography image characterisation." Clinical Physics and Physiological Measurement 13, A (1992): 119–23. http://dx.doi.org/10.1088/0143-0815/13/a/023.

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Schullcke, Benjamin, Bo Gong, Sabine Krueger-Ziolek, et al. "Lobe based image reconstruction in Electrical Impedance Tomography." Medical Physics 44, no. 2 (2017): 426–36. http://dx.doi.org/10.1002/mp.12038.

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Islam, Md Rabiul. "Kalman Algorithm Based Electrical Impedance Tomography Imaging." European Journal of Engineering Research and Science 4, no. 4 (2019): 52–55. http://dx.doi.org/10.24018/ejers.2019.4.4.1227.

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Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that displays changes in conductivity within a body. This method finds application in biomedical and geology. EIT finds use in medical applications, as the different tissues of the body have different conductivity and dielectric constants. In this paper a phantom model is designed considering Finite Element Model (FEM). AC current of amplitude 1 mA and frequency 1 KHz is applied considering adjacent protocol with noise less and noisy cases. From the computed voltage data image is reconstructed using Kalman algorithm. For

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Islam, Md Rabiul. "Kalman Algorithm Based Electrical Impedance Tomography Imaging." European Journal of Engineering and Technology Research 4, no. 4 (2019): 52–55. http://dx.doi.org/10.24018/ejeng.2019.4.4.1227.

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Electrical Impedance Tomography (EIT) is a non-invasive imaging technique that displays changes in conductivity within a body. This method finds application in biomedical and geology. EIT finds use in medical applications, as the different tissues of the body have different conductivity and dielectric constants. In this paper a phantom model is designed considering Finite Element Model (FEM). AC current of amplitude 1 mA and frequency 1 KHz is applied considering adjacent protocol with noise less and noisy cases. From the computed voltage data image is reconstructed using Kalman algorithm. For

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Canali, C., K. Aristovich, L. Ceccarelli, et al. "Electrical impedance tomography methods for miniaturised 3D systems." Journal of Electrical Bioimpedance 7, no. 1 (2019): 59–67. http://dx.doi.org/10.5617/jeb.4084.

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Abstract In this study, we explore the potential of electrical impedance tomography (EIT) for miniaturised 3D samples to provide a non-invasive approach for future applications in tissue engineering and 3D cell culturing. We evaluated two different electrode configurations using an array of nine circular chambers (Ø 10 mm), each having eight gold plated needle electrodes vertically integrated along the chamber perimeter. As first method, the adjacent electrode configuration was tested solving the computationally simple back-projection algorithm using Comsol Multiphysics in time-difference EIT

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Padilha Leitzke, Juliana, and Hubert Zangl. "A Review on Electrical Impedance Tomography Spectroscopy." Sensors 20, no. 18 (2020): 5160. http://dx.doi.org/10.3390/s20185160.

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Electrical Impedance Tomography Spectroscopy (EITS) enables the reconstruction of material distributions inside an object based on the frequency-dependent characteristics of different substances. In this paper, we present a review of EITS focusing on physical principles of the technology, sensor geometries, existing measurement systems, reconstruction algorithms, and image representation methods. In addition, a novel imaging method is proposed which could fill some of the gaps found in the literature. As an example of an application, EITS of ice and water mixtures is used.

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Liu, Xiayi, Jiafeng Yao, Tong Zhao, Hiromichi Obara, Yahui Cui, and Masahiro Takei. "Image Reconstruction Under Contact Impedance Effect in Micro Electrical Impedance Tomography Sensors." IEEE Transactions on Biomedical Circuits and Systems 12, no. 3 (2018): 623–31. http://dx.doi.org/10.1109/tbcas.2018.2816946.

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Bianchessi, Andre, Rodrigo H. Akamine, Guilherme C. Duran, et al. "Electrical Impedance Tomography Image Reconstruction Based on Neural Networks." IFAC-PapersOnLine 53, no. 2 (2020): 15946–51. http://dx.doi.org/10.1016/j.ifacol.2020.12.360.

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Maciura, Łukasz. "UNet model in image reconstruction for electrical impedance tomography." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 4 (2022): 125–28. http://dx.doi.org/10.15199/48.2022.04.26.

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Kuzuoglu, M., K. Leblebicioglu, and Y. Z. Ider. "A fast image reconstruction algorithm for electrical impedance tomography." Physiological Measurement 15, no. 2A (1994): A115—A124. http://dx.doi.org/10.1088/0967-3334/15/2a/016.

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Eyüboglu, B. Murat. "An interleaved drive electrical impedance tomography image reconstruction algorithm." Physiological Measurement 17, no. 4A (1996): A59—A71. http://dx.doi.org/10.1088/0967-3334/17/4a/009.

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Li, Ziang, Jie Zhang, Dong Liu, and Jiangfeng Du. "CT Image-Guided Electrical Impedance Tomography for Medical Imaging." IEEE Transactions on Medical Imaging 39, no. 6 (2020): 1822–32. http://dx.doi.org/10.1109/tmi.2019.2958670.

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Sapuan, Imam, Khusnul Ain, and Alif Suryanto. "Dual frequency electrical impedance tomography to obtain functional image." Journal of Physics: Conference Series 853 (May 2017): 012002. http://dx.doi.org/10.1088/1742-6596/853/1/012002.

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KOZŁOWSKI, Edward. "Logistic regression in image reconstruction in electrical impedance tomography." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 5 (2020): 97–100. http://dx.doi.org/10.15199/48.2020.05.19.

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Pietrzyk, Robert, Mariusz Mazurek, and Justyna Chałdaś - Majdańska. "Image reconstruction and bladder stimulation using electrical impedance tomography." Journal of Modern Science 57, no. 3 (2024): 668–83. http://dx.doi.org/10.13166/jms/191385.

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Abstract:

Impedance tomography (EIT) is an imaging technique that harnesses differences in electrical conductivity to visualize the interior of objects. Despite limitations such as low resolution and nonlinearity of current distribution, its potential in medicine and industry is a source of fascination. The research in this work is a step towards unlocking this potential, focusing on improving the quality of EIT image reconstruction, particularly in bladder modeling. A key element is regularization techniques, including Laplace matrices and the iterative Gauss-Newton algorithm, which balance matching ac

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