Micro-CT scanner with a focusing polycapillary x-ray optic

Author(s):  
Steven M. Jorgensen ◽  
Denise A. Reyes ◽  
Carolyn A. MacDonald ◽  
Erik L. Ritman
Keyword(s):  
Micro Ct ◽  
2009 ◽  
Author(s):  
Guohua Cao ◽  
Xiomara Calderon-Colon ◽  
Peng Wang ◽  
Laurel Burk ◽  
Yueh Z. Lee ◽  
...  

2010 ◽  
Author(s):  
R. Peng ◽  
J. Zhang ◽  
X. Calderon-Colon ◽  
S. Wang ◽  
S. Sultana ◽  
...  

2009 ◽  
Vol 36 (6Part8) ◽  
pp. 2513-2513
Author(s):  
R Peng ◽  
J Zhang ◽  
X Calderon-Colon ◽  
E Quan ◽  
S Wang ◽  
...  

Author(s):  
Snehlata Shakya ◽  
Prabhat Munshi

Error estimates for tomographic reconstructions (using Fourier transform-based algorithm) are available for cases where projection data are available. These data are used for reconstructions with different filter functions and the reliability of these reconstructions can be checked as per guidelines of those error estimates. There are cases where projection data are large (in gigabytes or terabytes) so storage of these data becomes an issue. It leads to storing of only the reconstructed images. Error estimation in such cases is presented here. Second-level projection data are calculated from the given reconstructed images (‘first-level’ images). These ‘second-level’ data are now used to generate ‘second-level’ reconstructed images. Different filter functions are employed to check the fidelity of these ‘second-level’ images. This inference is extended to first-level images in view of the characteristics of the convolution operator. This approach is validated with experimental data obtained by the X-ray micro-CT scanner installed at IIT Kanpur. Five specimens (of same material) have been scanned. Data are available in this case thus we have performed a comparative error estimate analysis for the ‘first-level’ reconstructions (data obtained from CT machine) and second-level reconstructions (data generated from first-level reconstructions). We observe that both approaches show similar outcome. It indicates that error estimates can also be applied to images when data are not available.


2008 ◽  
Vol 35 (6Part5) ◽  
pp. 2682-2682
Author(s):  
G Cao ◽  
R Peng ◽  
Y Lee ◽  
R Rajaram ◽  
X Calderon-Colon ◽  
...  

2009 ◽  
Author(s):  
R. Peng ◽  
J. Zhang ◽  
X. Calderon-Colon ◽  
S. Wang ◽  
S. Sultana ◽  
...  

Author(s):  
Mohammadreza Fouladi ◽  
Kamran Gholami ◽  
Hossein Ghadiri

X-ray Computed Tomography (CT), e.g. clinical CT scanners, basically provides Linear Attenuation Coefficients (LACs) of objects under study by the means of algorithmic reconstruction of acquired views of attenuated X-ray passing through the samples in different angles around the imaged sample. Micro Computed Tomography (micro-CT) basically works the same as clinical CT. It provides volumetric information representing the inner structure of objects with a resolution in the micron range. LOTUS-inVivo is a micro-CT scanner dedicated to imaging of small animals and ex-vivo biological samples. In the present study the spatial resolution and Low Contrast Detectability (LCD) of LOTUS-inVivo scanner were evaluated using standard phantoms. We aimed to prove the capability of LOTUS-inVivo for small animal and ex-vivo biological samples imaging using the measured image quality parameters, i.e. spatial resolution and low contrast detectability. By the means of analysis of bar and LCD phantom images, the limiting resolution of LOTUS-inVivo micro-CT scanner was measured about 2.7 µm and has been shown that it’s capable of resolving sizes greater than 12.5 µm. Also, we concluded that LOTUS-inVivo is capable of discriminating tissues with 3% differences in contrast relative to the background, for 1 mm bar size. Thus, the provided technical characteristics in this study have made LOTUS-inVivo as a suitable tool for small animal imaging.


2013 ◽  
Vol 379 ◽  
pp. 3-10 ◽  
Author(s):  
Andrey V. Batranin ◽  
Sergey V. Chakhlov ◽  
Dmitry V. Grinev ◽  
Boris I. Kapranov ◽  
Vasily A. Klimenov

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