Non-invasive investigation of the cross-sectional solids distribution in CFB risers by X-ray computed tomography

2016 ◽  
Vol 297 ◽  
pp. 247-258 ◽  
Author(s):  
Timo Hensler ◽  
Markus Firsching ◽  
Juan Sebastian Gomez Bonilla ◽  
Thorsten Wörlein ◽  
Norman Uhlmann ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cross Sectional ◽  
X Ray ◽  
Non Invasive ◽  
X Ray Computed ◽  
The Cross

scholarly journals Ant Colony-Based Hyperparameter Optimisation in Total Variation Reconstruction in X-ray Computed Tomography

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 591
Author(s):  
Manasavee Lohvithee ◽  
Wenjuan Sun ◽  
Stephane Chretien ◽  
Manuchehr Soleimani
Keyword(s):  
Computed Tomography ◽  
Total Variation ◽  
Cross Validation ◽  
Ant Colony ◽  
Reference Image ◽  
X Ray ◽  
X Ray Computed ◽  
Hyperparameter Selection ◽  
The Cross ◽  
Optimal Set

In this paper, a computer-aided training method for hyperparameter selection of limited data X-ray computed tomography (XCT) reconstruction was proposed. The proposed method employed the ant colony optimisation (ACO) approach to assist in hyperparameter selection for the adaptive-weighted projection-controlled steepest descent (AwPCSD) algorithm, which is a total-variation (TV) based regularisation algorithm. During the implementation, there was a colony of artificial ants that swarm through the AwPCSD algorithm. Each ant chose a set of hyperparameters required for its iterative CT reconstruction and the correlation coefficient (CC) score was given for reconstructed images compared to the reference image. A colony of ants in one generation left a pheromone through its chosen path representing a choice of hyperparameters. Higher score means stronger pheromones/probabilities to attract more ants in the next generations. At the end of the implementation, the hyperparameter configuration with the highest score was chosen as an optimal set of hyperparameters. In the experimental results section, the reconstruction using hyperparameters from the proposed method was compared with results from three other cases: the conjugate gradient least square (CGLS), the AwPCSD algorithm using the set of arbitrary hyperparameters and the cross-validation method.The experiments showed that the results from the proposed method were superior to those of the CGLS algorithm and the AwPCSD algorithm using the set of arbitrary hyperparameters. Although the results of the ACO algorithm were slightly inferior to those of the cross-validation method as measured by the quantitative metrics, the ACO algorithm was over 10 times faster than cross—Validation. The optimal set of hyperparameters from the proposed method was also robust against an increase of noise in the data and can be applicable to different imaging samples with similar context. The ACO approach in the proposed method was able to identify optimal values of hyperparameters for a dataset and, as a result, produced a good quality reconstructed image from limited number of projection data. The proposed method in this work successfully solves a problem of hyperparameters selection, which is a major challenge in an implementation of TV based reconstruction algorithms.

Eye formation in semi-hard cheese: X-ray computed tomography as a non-invasive tool for assessing the influence of adjunct lactic acid bacteria

2013 ◽  
Vol 93 (2) ◽  
pp. 135-149 ◽  
Author(s):  
Dominik Guggisberg ◽  
Marie-Therese Fröhlich-Wyder ◽  
Stefan Irmler ◽  
Mark Greco ◽  
Daniel Wechsler ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
X Ray ◽  
Non Invasive ◽  
X Ray Computed ◽  
Eye Formation ◽  
Hard Cheese

Non-invasive and Time-Resolved Observation of Tumors Implanted in Living Mice by Using Phase-Contrast X-ray Computed Tomography

2006 ◽  
Vol 45 (3A) ◽  
pp. 1864-1868 ◽  
Author(s):  
Akio Yoneyama ◽  
Nobuaki Amino ◽  
Masamichi Mori ◽  
Masafumi Kudoh ◽  
Tohoru Takeda ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Phase Contrast ◽  
Time Resolved ◽  
X Ray ◽  
Non Invasive ◽  
X Ray Computed

Analysis of Gas Production in Overcharged Lithium Battery by X-Ray Computed Tomography

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Xiaofan Zhang ◽  
Lifu Li ◽  
Wei Xu
Keyword(s):  
Computed Tomography ◽  
Quantitative Relationship ◽  
Thermal Runaway ◽  
Gas Production ◽  
Cross Sectional ◽  
Tomographic Images ◽  
X Ray ◽  
Structure Changes ◽  
Safe State ◽  
X Ray Computed

Abstract Overcharge is one of the main factors that lead to thermal runaway of lithium batteries. However, there is no research on the quantitative relationship between overcharged state and gas production, so as to effectively monitor the safe state of the battery and avoid thermal runaway. In this paper, X-ray computed tomography (CT) is proposed to explore the overcharge battery. The internal structure changes of bulge deformation and electrode separation is observed from tomographic images of two different cross-sectional directions. The relationship between gas production and overcharge state of charge (SOC) is quantitatively analyzed. As overcharge SOC increases, gas production increases exponentially. Gas distribution is analyzed by density distribution feature (DDF) vector. The gas production is mainly distributed in the middle of the overcharge batteries. It is envisaged that these techniques can be used to better understand the overcharge of battery nondestructively, visually and effectively, then will lead to avoid the occurrence of thermal runaway.

Two methods of using X-ray Computed Tomography to predict carcass composition in sheep

2005 ◽  
Vol 2005 ◽  
pp. 42-42
Author(s):  
J. M. Macfarlane ◽  
R. M. Lewis ◽  
G. C. Emmans ◽  
J.M. Young ◽  
G. Simm
Keyword(s):  
Computed Tomography ◽  
Ct Scanning ◽  
Carcass Composition ◽  
The Body ◽  
Anatomical Landmarks ◽  
Cross Sectional ◽  
X Ray ◽  
X Ray Computed ◽  
Breed Selection ◽  
The Individual

X-ray computed tomography (CT) can be used to accurately assess carcass composition in sheep (Sehested, 1984; Young et al., 2001) both in research and commercially, as part of a breed selection programme. Two different CT scanning methods have been used: a) the reference scan method where tissue weights are predicted from tissue areas in a small set of cross-sectional scans at ‘anatomical landmarks’, and b) the Cavalieri method where a larger number of scans are taken along the body. It is of interest to examine the accuracy of evaluations made using these two methods and the individual merits of the two methods depending on their application.

Influence of non-invasive X-ray computed tomography (XRCT) on the microbial community structure and function in soil

2013 ◽  
Vol 93 (2) ◽  
pp. 121-123 ◽  
Author(s):  
Doreen Fischer ◽  
Sebastian Pagenkemper ◽  
Jens Nellesen ◽  
Stephan Peth ◽  
Rainer Horn ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Structure And Function ◽  
X Ray ◽  
Non Invasive ◽  
X Ray Computed ◽  
And Function

Burrow refilling behavior of Aporrectodea turgida (Eisen) and Lumbricus terrestris L. as revealed by X-ray computed tomography scanning: Graphical and quantitative analyses

2015 ◽  
Vol 95 (3) ◽  
pp. 231-235 ◽  
Author(s):  
Joann K. Whalen ◽  
Liwen Han ◽  
Pierre Dutilleul
Keyword(s):  
Computed Tomography ◽  
Lumbricus Terrestris ◽  
Undisturbed Soil ◽  
X Ray ◽  
Non Invasive ◽  
Computed Tomography Scanning ◽  
X Ray Computed ◽  
Quantitative Analyses ◽  
Undisturbed Soil Cores ◽  
Tomography Scanning

Whalen, J. K., Han L. and Dutilleul, P. 2015. Burrow refilling behavior of Aporrectodea turgida (Eisen) and Lumbricus terrestris L. as revealed by X-ray computed tomography scanning: Graphical and quantitative analyses. Can. J. Soil Sci. 95: 231–235. Solute and gas transport through earthworm burrows is altered when burrows become refilled. Earthworm burrow refilling was evaluated with non-invasive X-ray computed tomography in undisturbed soil cores. Proportionally, Lumbricus terrestris refilled burrows had more air-filled space left around their perimeter than those of Aporrectodea turgida, which often were completely refilled.

Industrial Applications of X-Ray Computed Tomography

1987 ◽  
Vol 31 ◽  
pp. 99-105 ◽  
Author(s):  
P. K. Hunt ◽  
P. Engler ◽  
W. D. Friedman
Keyword(s):  
Computed Tomography ◽  
Industrial Applications ◽  
Axial Tomography ◽  
Cross Sectional ◽  
Attenuation Coefficients ◽  
X Ray ◽  
Minimal Sample ◽  
Computerized Axial Tomography ◽  
X Ray Computed ◽  
Non Destructive

Computed tomography (CT), commonly known as CAT scanning (computerized axial tomography), is a technology that produces an image of the internaI structure of a cross sectional slice through an object via the reconstruction of a matrix of X-ray attenuation coefficients. This non-destructive method is fast (50 ms to 7 min per image depending on the technological generation of the instrument) and requires minimal sample preparation. Images are generated from digital computations, and instruments essentially have a linear response. This allows quantitative estimations of density variations, dimensions and areas directly from console displays.

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