Non-linear dual-energy method development and evaluation for industrial computed tomography

2019 ◽  
Vol 30 (6) ◽  
pp. 065006
Author(s):  
Anton Jansson
2018 ◽  
Vol 13 (01) ◽  
pp. P01030-P01030 ◽  
Author(s):  
A. Emami ◽  
H. Ghadiri ◽  
A. Rahmim ◽  
M.R. Ay

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Hironobu Tomita ◽  
Koichi Shibata

Purpose. We sought to examine the possibility of reducing the contrast medium dosage in dual-energy imaging using a saline-mixed injection with a virtual monochromatic energy method of dual-source computed tomography (CT). Methods. An X-ray CT (SOMATOM Definition Flash: Siemens, Nurnberg, Germany) was employed. The mixing ratio of contrast medium and saline was gradually changed by 10%, followed by a mixed injection into a dynamic blood flow phantom (Nemoto Kyorindo, Japan) which is a hemodynamic simulation phantom to obtain time-enhancement curves (TECs). Exactly 64 TECs were prepared for each mixing ratio by changing the energy from 40 to 75 keV for monoenergetic imaging. The relationship between the image standard deviation (SD) and the energy of the virtual monochromatic image was determined. Combinations of the mixing ratio and energy (keV), which can maintain high CT numbers and low image SDs for 3D imaging, were tested, and the reduction rate of the contrast medium was calculated. Results. The TECs for the mixed injection method changed linearly with the dilution rates. The mixing ratios were strongly correlated with the maximum CT number of the TEC (R2 = 0.98). Contrast CT numbers and image SDs increased by approximately 20% and 25%, respectively, as the energy decreased by 5 keV. The optimal conditions for reducing the contrast medium dose were a mixing ratio of 6:4 and 55 keV of energy. Conclusion. The virtual monochromatic energy method reduced the contrast medium dosage by up to 40% for three-dimensional CT-angio (3DCTA) tests.


2008 ◽  
Vol 68 (3) ◽  
pp. 409-413 ◽  
Author(s):  
David R. Holmes ◽  
Joel G. Fletcher ◽  
Anja Apel ◽  
James E. Huprich ◽  
Hassan Siddiki ◽  
...  

2019 ◽  
Author(s):  
Torsten Diekhoff ◽  
Michael Fuchs ◽  
Nils Engelhard ◽  
Kay-Geert Hermann ◽  
Michael Putzier ◽  
...  

2011 ◽  
Vol 12 (1) ◽  
pp. 62-63 ◽  
Author(s):  
Thomas Henzler ◽  
Steffen Diehl ◽  
Susanne Jochum ◽  
Tim Sueselbeck ◽  
Stefan O Schoenberg ◽  
...  

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