A BVMF-B algorithm for nonconvex nonlinear regularized decomposition of spectral x-ray projection images

2017 ◽  
Author(s):  
Mai Quyen Pham ◽  
Nicolas Ducros ◽  
Barbara Nicolas

2017 ◽  
Vol 44 (9) ◽  
pp. e174-e187 ◽  
Author(s):  
Nicolas Ducros ◽  
Juan Felipe Perez-Juste Abascal ◽  
Bruno Sixou ◽  
Simon Rit ◽  
Françoise Peyrin


2013 ◽  
Vol 21 (2) ◽  
pp. 24-28 ◽  
Author(s):  
Bart Pauwels ◽  
Alexander Sasov

X-ray microfocus computer tomography (μ-CT) is a non-destructive experimental technique that reveals the 3D internal microstructure of the sample under study. The experimental set-up consists of an X-ray source, an X-ray detector, and set in between is a sample that is placed on a rotation stage. With this set-up multiple X-ray projection images can be obtained from the sample at different angles. In between the acquisition of two successive images, the sample is rotated over a small angle, typically between 0.2° and 1°. This set of projection images is then used as input for the reconstruction algorithm, which calculates a reconstruction of the internal microstructure of the sample with (sub-) micrometer sensitivity.



2008 ◽  
Vol 20 (Supplement) ◽  
pp. 178-178
Author(s):  
Takashi YAMADA ◽  
Koji MORI ◽  
Takatomo MINE ◽  
Kazuhiko ITIHARA ◽  
Toshihiko Taguchi ◽  
...  


Author(s):  
Daigo DEGUCHI ◽  
Yuki TOMONAGA ◽  
Takafumi KAJIYAMA ◽  
Shunji HIROKAWA ◽  
Shogo ARIYOSHI


2010 ◽  
Vol 25 (2) ◽  
pp. 157-160 ◽  
Author(s):  
P. Bruyndonckx ◽  
A. Sasov ◽  
B. Pauwels

We have demonstrated that structures down to 150 nm can be visualized in X-ray projection images using nanofocus X-ray sources. Due to their unlimited depth of focus, they do not possess a limit on the specimen size. This is essential for three-dimensional tomographic imaging of samples with a diameter larger than a few microns. Further simulation studies have shown that optimization of the detector response curve and switching from a reflective X-ray target to a transmission target should allow us to reach sub-100-nm resolutions.



2008 ◽  
Vol 35 (6Part5) ◽  
pp. 2676-2676
Author(s):  
J Zhang ◽  
G Lasio ◽  
B Yi ◽  
C Yu


2011 ◽  
Vol 99 ◽  
pp. S217 ◽  
Author(s):  
A. Fassi ◽  
J. Schaerer ◽  
M. Riboldi ◽  
D. Sarrut ◽  
G. Baroni




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