Multi-source third generation computed tomography for industrial multiphase flows applications

Mesquita, C.H.; Vásquez, Pablo; Calvo, W.A.P.; Marcato, Larissa A.; Carvalho, D.V.S.; Martins, Joao F. T.; Hamada, M.M.

doi:10.1109/nssmic.2011.6154329

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Unlike the standard aspect of the computed tomography (CT) for medical application, industrial tomography systems applications should be adapted to the different size and geometry objects, usually placed in an aggressive environment, which contains flammable superheated or corrosive materials, and, eventually, subject to high internal pressure, all these factors bring in many difficulties for setting CT devices [1,2]. In addition, the industrial systems involve multiphase dynamic processes containing solids, liquids and gases mixtures [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Iterative Algorithms for Tomography Image Reconstruction

et al. 2019

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The greatest impact of the tomography technology currently occurs in medicine. The success is due to the fact that human body presents standardized dimensions with well-established composition. These conditions are not found in industrial objects. In industry, there is a great deal of interest in using the tomography in order to know the inner part of (i) manufactured industrial objects or (ii) the machines and their means of production. In these cases, the purpose of the tomography is: (a) to control the quality of the final product and (b) to optimize the production, contributing to the pilot phase of the projects and analyzing the quality of the means of production. This scan system is a non-destructive, efficient and fast method for providing sectional images of industrial objects and it is able to show the dynamic processes and the dispersion of the materials structures within these objects. In this context, it is important that the reconstructed image may present a great spatial resolution with a satisfactory temporal resolution. Thus, the algorithm to reconstruct the images has to meet these requirements. This work consists in the analysis of three different iterative algorithm methods, namely the Maximum Likelihood Estimation Method (MLEM), the Maximum Likelihood Transmitted Method (MLTR) and the Simultaneous Iterative Reconstruction Method (SIRT. The analyses involved the measurement of the contrast to noise ratio (CNR), the root mean square error (RMSE) and the Modulation Transfer Function (MTF),in order to know which algorithm fits the conditions to optimize the system better. The algorithms and the image quality analyses were performed by Matlab® 2013b.

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Section: Introductionmentioning

confidence: 99%

“…In addition, the industrial systems involve multiphase dynamic processes containing solids, liquids and gases mixtures [3][4][5][6][7]. In other words, it is necessary to develop a tomographic system suitable for each industrial purpose [2,6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Iterative Algorithms for Tomography Image Reconstruction

et al. 2019

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“…Also it is capable of generating images at a faster rate but generally with lower spatial resolution. On the other hand, if spatial resolution is important and knowledge of dynamic phenomena can be limited to their trends, then third generation CT systems should be a suitable choice [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Third Generation Tomography System With Fifteen Detectors Simulated by Monte Carlo Method

Alvarez¹,

Velo²,

Fernandez³

et al. 2019

Braz. J. Rad. Sci.

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This paper describes the Monte Carlo simulation, using MCNP4C, of a multichannel third generation tomography system containing a two radioactive sources 192I (316.5 – 468 KeV) and 137Cs (662 KeV), and a set of fifteen NaI(Tl) detectors, with dimensions of 1 inch diameter and 2 inches thick, in fan beam geometry, positioned diametrically opposite. Each detector moves 10 steps of 0,24o, totalizing 150 virtual detectors per projection, and then the system rotate 2 degrees. The Monte Carlo simulation was performed to evaluate the viability of this configuration. For this, a multiphase phantom containing polymethyl methacralate (PMMA ((r @ 1.19 g/cm3)), iron (r @ 7.874 g/cm3), aluminum (r @ 2.6989 g/cm3) and air (r @ 1.20479E-03 g/cm3) was simulated. The simulated number of histories was 1.1E+09 per projection and the tally used were the F8, which gives the pulse height of each detector. The data obtained by the simulation was used to reconstruct the simulated phantom using the statistical iterative Maximum Likelihood Estimation Method Technique (ML-EM) algorithm. Each detector provides a gamma spectrum of the sources, and a pulse height analyzer (PHA) of 10% on the 316.5 KeV and 662 KeV photopeaks was performed. This technique provides two reconstructed images of the simulated phantom. The reconstructed images provided high spatial resolution, and it is supposed that the temporal resolution (spending time for one complete revolution) is about 2.5 hours.

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“…Os objetos na indústria possuem, entre si, muitas diferenças geométricas e de composição, e, consequentemente, requerem o desenvolvimento de equipamentos diferenciados que não se enquadram na produção em escala dos tomógrafos médicos. Em outros termos, na indústria é imperativo o desenvolvimento de sistemas tomográficos adequados para cada finalidade [3,4]. Este fato traz à comunidade científica um aspecto positivo, pois cria nichos tecnológicos e abre espaço para que vários pesquisadores atuem na tecnologia tomográfica e, assim, também contribuam com o surgimento de novas técnicas de hardware (instrumentação) e software para a reconstrução das imagens.…”

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Desenvolvimento e análise de um sistema multicanal e multifontes para tomografia de processos industriais em tempo real

Carvalho¹

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Computerized tomography has promoted the interest of industries for the possibility of using the tomographic data of a product, process, or equipment for quality control of a product, and improve the production process. However, unlike the already widely used medical tomography if compared to industrial tomography, the conditions to perform tomographic acquisition are not always favorable, once industrial objects may have different dimensions, chemical composition, and densities. The aim of this work was to develop a new design for the Industrial Process Tomography (IPT), for multiphase analysis. In this work, 70 sets of photomultiplier with NaI(Tl) detector crystals, connected to 5 modules with 14 detectors, were used. The developed configuration allowed to obtain a 360 ° halo around the object to be tomographed, and, also, real-time analysis of industrial processes. The source holder system developed can accommodate two radioactive isotopes, which with the multichannel electronics as well developed during this project, made it possible to select several spectral bands at the same time, in each detector. The source holder also has a remote opening and closing system for operator safety. The tomography developed for this work reached the expectations; its design turns it possible to transport it to the industrial plants because this tomography is modular, it also presented the characteristic peaks related to the radioactive sources spectra used, besides presenting a fast spectra acquisition time, which enables real-time CT scans.

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Multi-source third generation computed tomography for industrial multiphase flows applications

Cited by 6 publications

References 5 publications

Evaluation of Iterative Algorithms for Tomography Image Reconstruction

Evaluation of Iterative Algorithms for Tomography Image Reconstruction

A Third Generation Tomography System With Fifteen Detectors Simulated by Monte Carlo Method

Desenvolvimento e análise de um sistema multicanal e multifontes para tomografia de processos industriais em tempo real

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