The Factorization Method for Electrical Impedance Tomography Data from a New Planar Device

We present numerical results for two reconstruction methods for a new planar electrical impedance tomography device. This prototype allows noninvasive medical imaging techniques if only one side of a patient is accessible for electric measurements. The two reconstruction methods have different properties: one is a linearization-type method that allows quantitative reconstructions; the other one, that is, the factorization method, is a qualitative one, and is designed to detect anomalies within the body.

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Parasitic capacitances estimation of an Electrical Impedance Tomography data acquisition system by Bayesian inference

Measurement ◽

10.1016/j.measurement.2021.108992 ◽

2021 ◽

Vol 174 ◽

pp. 108992

Author(s):

Adriana Machado Malafaia da Mata ◽

Bruno Furtado de Moura ◽

Marcio Ferreira Martins ◽

Francisco Hernán Sepúlveda Palma ◽

Rogério Ramos

Keyword(s):

Bayesian Inference ◽

Data Acquisition ◽

Electrical Impedance Tomography ◽

Electrical Impedance ◽

Data Acquisition System ◽

Acquisition System ◽

Impedance Tomography ◽

Tomography Data ◽

Electrical Impedance Tomography Data

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A real-time D-bar algorithm for 2-D electrical impedance tomography data

Inverse Problems & Imaging ◽

10.3934/ipi.2014.8.1013 ◽

2014 ◽

Vol 8 (4) ◽

pp. 1013-1031 ◽

Cited By ~ 24

Author(s):

Melody Dodd ◽

◽

Jennifer L. Mueller ◽

Keyword(s):

Real Time ◽

Electrical Impedance Tomography ◽

Electrical Impedance ◽

Impedance Tomography ◽

Tomography Data ◽

Electrical Impedance Tomography Data

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Using Extreme Learning Machines and the Backprojection Algorithm as an Alternative to Reconstruct Electrical Impedance Tomography Images

Biomedical Computing for Breast Cancer Detection and Diagnosis - Advances in Bioinformatics and Biomedical Engineering ◽

10.4018/978-1-7998-3456-4.ch002 ◽

2021 ◽

pp. 16-27

Author(s):

Juliana Carneiro Gomes ◽

Maíra Araújo de Santana ◽

Clarisse Lins de Lima ◽

Ricardo Emmanuel de Souza ◽

Wellington Pinheiro dos Santos

Keyword(s):

Electrical Impedance Tomography ◽

Electrical Impedance ◽

Imaging Techniques ◽

Low Cost ◽

Computational Cost ◽

Extreme Learning Machines ◽

Impedance Tomography ◽

Learning Machines ◽

Electrical Potentials ◽

Reconstruction Methods

Electrical Impedance Tomography (EIT) is an imaging technique based on the excitation of electrode pairs applied to the surface of the imaged region. The electrical potentials generated from alternating current excitation are measured and then applied to boundary-based reconstruction methods. When compared to other imaging techniques, EIT is considered a low-cost technique without ionizing radiation emission, safer for patients. However, the resolution is still low, depending on efficient reconstruction methods and low computational cost. EIT has the potential to be used as an alternative test for early detection of breast lesions in general. The most accurate reconstruction methods tend to be very costly as they use optimization methods as a support. Backprojection tends to be rapid but more inaccurate. In this work, the authors propose a hybrid method, based on extreme learning machines and backprojection for EIT reconstruction. The results were applied to numerical phantoms and were considered adequate, with potential to be improved using post processing techniques.

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