scholarly journals Dark-field X-ray imaging of unsaturated water transport in porous materials

2014 ◽  
Vol 105 (15) ◽  
pp. 154105 ◽  
Author(s):  
F. Yang ◽  
F. Prade ◽  
M. Griffa ◽  
I. Jerjen ◽  
C. Di Bella ◽  
...  
2014 ◽  
Vol 22 (19) ◽  
pp. 23276 ◽  
Author(s):  
André Ritter ◽  
Peter Bartl ◽  
Florian Bayer ◽  
Karl C. Gödel ◽  
Wilhelm Haas ◽  
...  

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Ge Wang ◽  
Wenxiang Cong ◽  
Haiou Shen ◽  
Yu Zou

Although x-ray imaging is widely used in biomedical applications, biological soft tissues have small density changes, leading to low contrast resolution for attenuation-based x-ray imaging. Over the past years, x-ray small-angle scattering was studied as a new contrast mechanism to enhance subtle structural variation within the soft tissue. In this paper, we present a detection method to extract this type of x-ray scattering data, which are also referred to as dark-field signals. The key idea is to acquire an x-ray projection multiple times with varying collimation before an x-ray detector array. The projection data acquired with a collimator of a sufficiently high collimation aspect ratio contain mainly the primary beam with little scattering, while the data acquired with an appropriately reduced collimation aspect ratio include both the primary beam and small-angle scattering signals. Then, analysis of these corresponding datasets will produce desirable dark-field signals; for example, via digitally subtraction. In the numerical experiments, the feasibility of our dark-field detection technology is demonstrated in Monte Carlo simulation. The results show that the acquired dark field signals can clearly reveal the structural information of tissues in terms of Rayleigh scattering characteristics.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kaye S. Morgan ◽  
David M. Paganin

AbstractX-ray imaging has conventionally relied upon attenuation to provide contrast. In recent years, two complementary modalities have been added; (a) phase contrast, which can capture low-density samples that are difficult to see using attenuation, and (b) dark-field x-ray imaging, which reveals the presence of sub-pixel sample structures. These three modalities can be accessed using a crystal analyser, a grating interferometer or by looking at a directly-resolved grid, grating or speckle pattern. Grating and grid-based methods extract a differential phase signal by measuring how far a feature in the illumination has been shifted transversely due to the presence of a sample. The dark-field signal is extracted by measuring how the visibility of the structured illumination is decreased, typically due to the presence of sub-pixel structures in a sample. The strength of the dark-field signal may depend on the grating period, the pixel size and the set-up distances, and additional dark-field signal contributions may be seen as a result of strong phase effects or other factors. In this paper we show that the finite-difference form of the Fokker–Planck equation can be applied to describe the drift (phase signal) and diffusion (dark-field signal) of the periodic or structured illumination used in phase contrast x-ray imaging with gratings, in order to better understand any cross-talk between attenuation, phase and dark-field x-ray signals. In future work, this mathematical description could be used as a basis for new approaches to the inverse problem of recovering both phase and dark-field information.


2013 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Bech ◽  
A. Tapfer ◽  
A. Velroyen ◽  
A. Yaroshenko ◽  
B. Pauwels ◽  
...  

2013 ◽  
Vol 23 (3) ◽  
pp. 236-242 ◽  
Author(s):  
F. Schwab ◽  
S. Schleede ◽  
D. Hahn ◽  
M. Bech ◽  
J. Herzen ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sebastian Meyer ◽  
Serena Z. Shi ◽  
Nadav Shapira ◽  
Andrew D. A. Maidment ◽  
Peter B. Noël

AbstractThe dark-field signal measures the small-angle scattering strength and provides complementary diagnostic information. This is of particular interest for lung imaging due to the pronounced small-angle scatter from the alveolar microstructure. However, most dark-field imaging techniques are relatively complex, dose-inefficient, and require sophisticated optics and highly coherent X-ray sources. Speckle-based imaging promises to overcome these limitations due to its simple and versatile setup, only requiring the addition of a random phase modulator to conventional X-ray equipment. We investigated quantitatively the influence of sample structure, setup geometry, and source energy on the dark-field signal in speckle-based X-ray imaging with wave-optics simulations for ensembles of micro-spheres. We show that the dark-field signal is accurately predicted via a model originally derived for grating interferometry when using the mean frequency of the speckle pattern power spectral density as the characteristic speckle size. The size directly reflects the correlation length of the diffuser surface and did not change with energy or propagation distance within the near-field. The dark-field signal had a distinct dependence on sample structure and setup geometry but was also affected by beam hardening-induced modifications of the visibility spectrum. This study quantitatively demonstrates the behavior of the dark-field signal in speckle-based X-ray imaging.


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