Development of submicrometer resolution x-ray CT system at SPring-8

Author(s):  
Kentaro Uesugi ◽  
Yoshio Suzuki ◽  
Naoto Yagi ◽  
Akira Tsuchiyama ◽  
Tsukasa Nakano
Keyword(s):  
X Ray ◽  
2020 ◽  
Vol 38 ◽  
pp. 93-99
Author(s):  
Hiroshi Sakurai ◽  
Kazushi Hoshi ◽  
Yosuke Harasawa ◽  
Daiki Ono ◽  
Kun Zhang ◽  
...  

We developed the photon counting CT system by using a conventional laboratory X-ray source and a CdTe line sensor. Attenuation coefficients were obtained from the measured CT image data. Our suggested method for deriving the electron density and effective atomic number from the measured attenuation coefficients was tested experimentally. The accuracy of the electron densities and effective atomic numbers are about <5 % (the averages of absolute values are 2.6 % and 3.1 %, respectively) for material of 6< Z and Zeff <13. Our suggested simple method, in which we do not need the exact source X-ray spectrum and detector response function, achieves comparable accuracy to the previous reports.


2020 ◽  
Vol 35 (3) ◽  
pp. 252-265 ◽  
Author(s):  
V. Nguyen ◽  
J. De Beenhouwer ◽  
J. G. Sanctorum ◽  
S. Van Wassenbergh ◽  
S. Bazrafkan ◽  
...  

2017 ◽  
Vol 36 (1) ◽  
Author(s):  
A. Fatima ◽  
V. K. Kulkarni ◽  
A. K. Agrawal ◽  
N. R. Banda ◽  
P. S. Sarkar ◽  
...  

2014 ◽  
Vol 19 (2-3) ◽  
pp. 141-149 ◽  
Author(s):  
Selam Waktola ◽  
Laurent Babout ◽  
Krzysztof Grudzien

Abstract The paper presents an automatic method for segmenting 3D tomography images of a funnel flow area, during silo emptying process. For generating 3D images the silo model was scanned using X-ray Computed Tomography (CT) system. The method has been applied for a chosen single slice from 3D image. The image segmentation is based on the variance of pixels calculation in defined interrogation window (or kernel). The analysis of Signalto- Noise-Ratio (SNR) of the given image allows to improve the contrast in the image and facilitate the detection the boundary between funnel area and stagnant zone. The obtained results of image segmentation show a high potential in the silo flow investigation using in-situ experiment using X-ray visualization. Additionally, the study indicates that, the separation of the silo area into the funnel and stagnant zone parts is a very challenging task especially for the top and bottom area of silo where the contrast is the smallest.


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