Data fusion in X-ray computed tomography using a superiorization approach

2014 ◽  
Vol 85 (5) ◽  
pp. 053701 ◽  
Author(s):  
Michael J. Schrapp ◽  
Gabor T. Herman
Keyword(s):  
Computed Tomography ◽  
Data Fusion ◽  
X Ray ◽  
X Ray Computed

scholarly journals Detection and Quantification of Cracking in Concrete Aggregate through Virtual Data Fusion of X-Ray Computed Tomography Images

Materials ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 3921
Author(s):  
Tyler Oesch ◽  
Frank Weise ◽  
Giovanni Bruno
Keyword(s):  
Computed Tomography ◽  
Data Fusion ◽  
Crack Detection ◽  
Concrete Aggregate ◽  
X Ray ◽  
Computed Tomography Images ◽  
Mineralogical Characteristics ◽  
X Ray Computed ◽  
Ct Data ◽  
Virtual Data

In this work, which is part of a larger research program, a framework called “virtual data fusion” was developed to provide an automated and consistent crack detection method that allows for the cross-comparison of results from large quantities of X-ray computed tomography (CT) data. A partial implementation of this method in a custom program was developed for use in research focused on crack quantification in alkali-silica reaction (ASR)-sensitive concrete aggregates. During the CT image processing, a series of image analyses tailored for detecting specific, individual crack-like characteristics were completed. The results of these analyses were then “fused” in order to identify crack-like objects within the images with much higher accuracy than that yielded by any individual image analysis procedure. The results of this strategy demonstrated the success of the program in effectively identifying crack-like structures and quantifying characteristics, such as surface area and volume. The results demonstrated that the source of aggregate has a very significant impact on the amount of internal cracking, even when the mineralogical characteristics remain very similar. River gravels, for instance, were found to contain significantly higher levels of internal cracking than quarried stone aggregates of the same mineralogical type.

scholarly journals Data fusion of surface data sets of X-ray computed tomography measurements using locally determined surface quality values

2018 ◽  
Vol 7 (2) ◽  
pp. 551-557 ◽  
Author(s):  
Andreas Michael Müller ◽  
Tino Hausotte
Keyword(s):  
Computed Tomography ◽  
Data Fusion ◽  
Measurement System ◽  
Data Sets ◽  
X Ray ◽  
Local Quality ◽  
X Ray Computed ◽  
Quality Value ◽  
The Individual ◽  
Energy Dependent

Abstract. X-ray computed tomography as a measurement system faces some difficulties concerning the quality of the acquired measurements due to energy-dependent interaction of polychromatic radiation with the examined object at hand. There are many different techniques to reduce the negative influences of these artefact phenomena, which is also the aim of this newly introduced method. The key idea is to create several measurements of the same object, which only differ in their orientation inside the ray path of the measurement system. These measurements are then processed to selectively correct faulty surface regions. To calculate the needed geometrical transformations between the different measurements with the goal of a congruent alignment in one coordinate system, an extension of the iterative closest point (ICP) algorithm is used. To quantitatively classify any surface point regarding its quality value to determine the individual need of correction for each point, the local quality value (LQV) method is used, which has been developed at the Institute of Manufacturing Metrology. Different data fusion algorithms are presented whose performances are tested and verified using nominal–actual comparisons.

Data fusion in neutron and X-ray computed tomography

2014 ◽  
Vol 116 (16) ◽  
pp. 163104 ◽  
Author(s):  
Michael J. Schrapp ◽  
Matthias Goldammer ◽  
Michael Schulz ◽  
Siraj Issani ◽  
Suryanarayana Bhamidipati ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Data Fusion ◽  
X Ray ◽  
X Ray Computed

Fourier method for 3-dimensional data fusion of X-ray Computed Tomography and ultrasound

2021 ◽  
pp. 102600
Author(s):  
William Leach ◽  
Jordan Lum ◽  
Kyle Champley ◽  
Stephen Azevedo ◽  
Casey Gardner ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Data Fusion ◽  
Fourier Method ◽  
X Ray ◽  
3 Dimensional ◽  
X Ray Computed

X-Ray Computed Tomography of Ultralightweight Metals

1999 ◽  
Vol 11 (1) ◽  
pp. 199-211
Author(s):  
J. M. Winter ◽  
R. E. Green ◽  
A. M. Waters ◽  
W. H. Green
Keyword(s):  
Computed Tomography ◽  
X Ray ◽  
X Ray Computed

scholarly journals Nano- scale X-ray Computed Tomography: Morphological Analysis of Fuel Cell Electrodes

2013 ◽  
Vol 19 (S2) ◽  
pp. 630-631
Author(s):  
P. Mandal ◽  
W.K. Epting ◽  
S. Litster
Keyword(s):  
Computed Tomography ◽  
Fuel Cell ◽  
Morphological Analysis ◽  
Fuel Cell Electrodes ◽  
X Ray ◽  
Nano Scale ◽  
X Ray Computed

Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.

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