Quadratic relation for mass density calibration in human body using dual‐energy CT data

2021 ◽  
Author(s):  
Masatoshi Saito
Keyword(s):  
Human Body ◽  
Mass Density ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Quadratic Relation ◽  
Ct Data

TU-FG-BRB-03: Basis Vector Model Based Method for Proton Stopping Power Estimation From Experimental Dual Energy CT Data

2016 ◽  
Vol 43 (6Part35) ◽  
pp. 3756-3756 ◽  
Author(s):  
S Zhang ◽  
D Han ◽  
D Politte ◽  
M Porras-Chaverri ◽  
B Whiting ◽  
...  
Keyword(s):  
Power Estimation ◽  
Dual Energy ◽  
Basis Vector ◽  
Stopping Power ◽  
Vector Model ◽  
Dual Energy Ct ◽  
Model Based ◽  
Ct Data

scholarly journals Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy

2014 ◽  
Vol 41 (6Part1) ◽  
pp. 061714 ◽  
Author(s):  
Nora Hünemohr ◽  
Harald Paganetti ◽  
Steffen Greilich ◽  
Oliver Jäkel ◽  
Joao Seco
Keyword(s):  
Dose Calculation ◽  
Dual Energy ◽  
Particle Therapy ◽  
Dual Energy Ct ◽  
Ct Data

Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging

2021 ◽  
Author(s):  
Yidi Yao ◽  
Liang Li ◽  
Zhiqiang Chen
Keyword(s):  
Noise Level ◽  
Photon Counting ◽  
Reconstruction Algorithm ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Spectral Ct ◽  
Photon Counting Detectors ◽  
Ct Data ◽  
Statistical Noise

Abstract Multi-energy spectral CT has a broader range of applications with the recent development of photon-counting detectors. However, the photons counted in each energy bin decrease when the number of energy bins increases, which causes a higher statistical noise level of the CT image. In this work, we propose a novel iterative dynamic dual-energy CT algorithm to reduce the statistical noise. In the proposed algorithm, the multi-energy projections are estimated from the dynamic dual-energy CT data during the iterative process. The proposed algorithm is verified on sufficient numerical simulations and a laboratory two-energy-threshold PCD system. By applying the same reconstruction algorithm, the dynamic dual-energy CT's final reconstruction results have a much lower statistical noise level than the conventional multi-energy CT. Moreover, based on the analysis of the simulation results, we explain why the dynamic dual-energy CT has a lower statistical noise level than the conventional multi-energy CT. The reason is that: the statistical noise level of multi-energy projection estimated with the proposed algorithm is much lower than that of the conventional multi-energy CT, which leads to less statistical noise of the dynamic dual-energy CT imaging.

Evaluating optimal CNR as a preset criteria for nonlinear moidal blending of dual energy CT data

2009 ◽  
Author(s):  
D. R. Holmes III ◽  
A. Apel ◽  
J. G. Fletcher ◽  
L. S. Guimaraes ◽  
C. E. Eusemann ◽  
...  
Keyword(s):  
Dual Energy ◽  
Dual Energy Ct ◽  
Ct Data

scholarly journals Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

2021 ◽  
Vol 70 ◽  
pp. 102001
Author(s):  
Tianling Lyu ◽  
Wei Zhao ◽  
Yinsu Zhu ◽  
Zhan Wu ◽  
Yikun Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Material Decomposition ◽  
Ct Data
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