scholarly journals Three-dimensional flaw reconstruction using a real-time X-ray imaging system

1992 ◽  
Author(s):  
Edward Raymond Doering
2011 ◽  
Vol 18 (4) ◽  
pp. 569-574 ◽  
Author(s):  
Masato Hoshino ◽  
Kentaro Uesugi ◽  
James Pearson ◽  
Takashi Sonobe ◽  
Mikiyasu Shirai ◽  
...  

An X-ray stereo imaging system with synchrotron radiation was developed at BL20B2, SPring-8. A portion of a wide X-ray beam was Bragg-reflected by a silicon crystal to produce an X-ray beam which intersects with the direct X-ray beam. Samples were placed at the intersection point of the two beam paths. X-ray stereo images were recorded simultaneously by a detector with a large field of view placed close to the sample. A three-dimensional wire-frame model of a sample was created from the depth information that was obtained from the lateral positions in the stereo image. X-ray stereo angiography of a mouse femoral region was performed as a demonstration of real-time stereo imaging. Three-dimensional arrangements of the femur and blood vessels were obtained.


1975 ◽  
Author(s):  
A. E. Stewart

This paper discusses the development of a real-time high energy x-ray imaging system for use in dynamic fluoroscopy of aero gas turbines. In order to cover the range of subjects on gas turbines, over ten combinations of film and screen types are used. Three different types of x-ray imaging systems were considered for use: direct type intensifiers (cesium iodide phosphors), and indirect type intensifiers — Marconi “Marionette” and the Oude Delft “Delcalix.”


2018 ◽  
Vol 25 (5) ◽  
pp. 1478-1489 ◽  
Author(s):  
Rafael Vescovi ◽  
Ming Du ◽  
Vincent de Andrade ◽  
William Scullin ◽  
Dogˇa Gürsoy ◽  
...  

X-rays offer high penetration with the potential for tomography of centimetre-sized specimens, but synchrotron beamlines often provide illumination that is only millimetres wide. Here an approach is demonstrated termed Tomosaic for tomographic imaging of large samples that extend beyond the illumination field of view of an X-ray imaging system. This includes software modules for image stitching and calibration, while making use of existing modules available in other packages for alignment and reconstruction. The approach is compatible with conventional beamline hardware, while providing a dose-efficient method of data acquisition. By using parallelization on a distributed computing system, it provides a solution for handling teravoxel-sized or larger datasets that cannot be processed on a single workstation in a reasonable time. Using experimental data, the package is shown to provide good quality three-dimensional reconstruction for centimetre-sized samples with sub-micrometre pixel size.


2019 ◽  
Vol 61 (10) ◽  
pp. 572-576
Author(s):  
Fei Zhong ◽  
Fumu Zhang ◽  
Liping Zhang ◽  
Ming Hao

The medical computed tomography (CT) technique cannot be directly applied to power equipment, such as gas-insulated switchgear (GIS), because of its huge size and immovability. In this research, a three-dimensional X-ray imaging system is developed for GIS equipment. The three-dimensional X-ray imaging system includes machinery, motion control, data acquisition, image reconstruction and three-dimensional image display subsystems. The principle of three-dimensional X-ray imaging is based on the Radon transform and the inverse transform. The rotary scanning device successfully collects 360 sets of projection data. The tomographic image is reconstructed using the acquired projection data. Shown in this paper is what is believed to be the world's first three-dimensional structure photograph of GIS that can be sliced and displayed using X-ray imaging. The application of the three-dimensional X-ray imaging system to the 110 kV GIS equipment at the Shayao Station of the Dongguan Power Supply Bureau shows that the overall accuracy of the system can reach up to 200 microns and the highest resolution of the output tomogram can reach up to 3160 × 3160 pixels.


2016 ◽  
Vol 49 (3) ◽  
pp. 1042-1047 ◽  
Author(s):  
Benedikt J. Daurer ◽  
Max F. Hantke ◽  
Carl Nettelblad ◽  
Filipe R. N. C. Maia

Advances in X-ray detectors and increases in the brightness of X-ray sources combined with more efficient sample delivery techniques have brought about tremendous increases in the speed of data collection in diffraction experiments. Using X-ray free-electron lasers such as the Linac Coherent Light Source (LCLS), more than 100 diffraction patterns can be collected in a second. These high data rates are invaluable for flash X-ray imaging (FXI), where aerosolized samples are exposed to the X-ray beam and the resulting diffraction patterns are used to reconstruct a three-dimensional image of the sample. Such experiments require immediate feedback on the quality of the data collected to adjust or validate experimental parameters, such as aerosol injector settings, beamline geometry or sample composition. The scarcity of available beamtime at the laser facilities makes any delay extremely costly. This paper presentsHummingbird, an open-source scalable Python-based software tool for real-time analysis of diffraction data with the purpose of giving users immediate feedback during their experiments.Hummingbirdprovides a fast, flexible and easy-to-use framework. It has already proven to be of great value in numerous FXI experiments at the LCLS.


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