Four Dimensional Reconstruction Using Magnetic Induction Tomography: Experimental Study

Wei, Hsin-Yu; Soleimani, Masoud

doi:10.2528/pier12032403

Cited by 15 publications

(12 citation statements)

References 28 publications

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“…Similar approaches have been reported in microwave and ultrasonic imaging [24,25]. Several other inverse and imaging problems can potentially benefit from limited region tomography method proposed in this paper, including but not limited to [27][28][29][30][31][32][33][34][35]. In [25], a pre-processing method was used to apply a bandpass filtering to multiple-frequency data for microwave tomography.…”

Section: Image Reconstructionmentioning

confidence: 99%

High Definition Electrical Capacitance Tomography for Pipeline Inspection

Evangelidis¹,

Ma²,

Soleimani³

2013

PIER

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Abstract-Pipelines made of dielectric materials such as Polyethylene (PE) are becoming increasingly popular. With no suitable inspection technique for dielectric pipes, there is an urgent need to develop new technology for their inspection. This paper presents a novel pipe inspection technique using Electrical Capacitance Tomography (ECT) imaging. Traditionally ECT is used for industrial process tomography as a low resolution but fast tomographic imaging technique. Typically commercial ECT can provide a resolution of approximately 10 percent of the imaging region. In this paper a limited region tomography technique is developed take into account prior knowledge about the geometry of the pipe. This has significantly enhanced the imaging resolution of the ECT system, making it a viable pipe inspection solution. The experimental results in this study demonstrate an interior wall loss area as small as 0.195 percent of the ECT cross sectional imaging region is repeatable and can be reliably detected. A narrowband pass filter method (NPFM) is used as a means to limit the region for the ECT algorithm. This results in an unprecedented resolution, making ECT a viable non-destructive evaluation (NDE) technique for plastic pipes. The NDE application of the ECT for PE pipes is demonstrated in this paper with several experimental results. A wall loss of depth of 1.5 mm could be detected for an ECT sensor array of 150 mm in diameter, showing a high resolution and high definition ECT (HD-ECT) imaging that has not been reported before.

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Section: Image Reconstructionmentioning

confidence: 99%

High Definition Electrical Capacitance Tomography for Pipeline Inspection

Evangelidis¹,

Ma²,

Soleimani³

2013

PIER

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“…Nowadays, electromagnetic modeling has become a useful tool for analyzing target scattering characteristic, and especially it has played an important role in landmine detection for the Ground Penetrating Radar (GPR) system [19]. Based on the simulated results of the improved Physical Optics (PO) method and the BoomSAR experimental results [20], the Army Research Laboratory (ARL) investigates the 1-dimension features of metal landmine.…”

Section: Electromagnetic Scattering Characteristics Of Landminementioning

confidence: 99%

A Physics-Based Landmine Discrimination Approach With Compressive Sensing

Wang¹,

Song²,

Zhang³

2013

PIER

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Abstract-Compressive Sensing (CS) is a recently developed technique, which can reconstruct the sparse signal with an overwhelming probability, even though the signal is sampled at highly sub-Nyquist rate. Based on the observation that the electromagnetic scattering structure (ESS) of a metal landmine is composed of two scattering centers, whose geometrical parameters are tightly related to its physical dimensions, a new physics-based landmine discrimination approach is proposed in this paper. Firstly, the approach uses the Multi-Measurement Iterative Pixel Discrimination method to reconstruct the landmine's ESS in noisy environments. Secondly, the geometrical parameters of the landmine's ESS are extracted from the sparse image. Thirdly, landmine discrimination is conducted according to the measured geometrical features and apriori knowledge. Finally, the field experimental results demonstrate the effectiveness of the proposed approach.

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“…In this case, the temporal algorithm can be implemented into the inverse solver to include the correlation information between the measurement frames. It is demonstrated that the temporal algorithm can effectively improve the noise performance and the stability of the images [26,27]. Each temporal image is reconstructed based on the correlation between several images that are obtained using Equation (7).…”

Section: Inverse Problemmentioning

confidence: 99%

Two-Phase Low Conductivity Flow Imaging Using Magnetic Induction Tomography

Wei¹,

Soleimani²

2012

PIER

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Abstract-Magnetic Induction Tomography (MIT) is a new and emerging type of tomography technique that is able to map the distribution of all three passive electromagnetic properties, however most of the current interests are focusing on the conductivity and permeability imaging. In an MIT system, coils are used as separate transmitters or sensors, which can generate the background magnetic field and detect the perturbed magnetic field respectively. Through switching technique the same coil can work as transceiver which can generate field at a time and detect the field at another time. Because magnetic field can easily penetrate through the non-conductive barrier, the sensors do not need direct contact with the imaging object. These non-invasive and contactless features make it an attractive technique for many applications compared to the traditional contact electrode based electrical impedance tomography. Recently, MIT has become a promising monitoring technique in industrial process tomography, for example MIT has been used to determine the distribution of liquidised metal and gas (high conductivity two phase flow monitoring) for metal casting applications. In this paper, a low conductivity two phase flow MIT imaging is proposed so the reconstruction of the low contrast samples (< 6 S/m) can be realised, e.g., gas/ionised liquid. An MIT system is developed to test the feasibility. The system utilises 16 coils (8 transmitters and 8 receivers) and an operating frequency of 13 MHz. Three different experiments were conducted to evaluate all possible situations of two phase flow imaging: 1) conducting objects inside a non-conducting background, 2) conducting objects inside a conducting background (low contrast) and 3) non-conducting objects inside a conducting background. Images are reconstructed using the linearised inverse method with regularisation. An experiment was designed to image the non-conductive samples inside a conducting

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Four Dimensional Reconstruction Using Magnetic Induction Tomography: Experimental Study

Cited by 15 publications

References 28 publications

High Definition Electrical Capacitance Tomography for Pipeline Inspection

High Definition Electrical Capacitance Tomography for Pipeline Inspection

A Physics-Based Landmine Discrimination Approach With Compressive Sensing

Two-Phase Low Conductivity Flow Imaging Using Magnetic Induction Tomography

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