A novel algorithm for material discrimination using a dual energy imaging system

2009 ◽  
Author(s):  
Kenneth Fu ◽  
Dale Ranta ◽  
Clark Guest ◽  
Pankaj Das
Keyword(s):  
Imaging System ◽  
Dual Energy ◽  
Dual Energy Imaging ◽  
Material Discrimination ◽  
Novel Algorithm

Dual Energy Imaging using a Commercial On-board Imaging System

2011 ◽  
Vol 81 (2) ◽  
pp. S125
Author(s):  
J.C. Roeske ◽  
J. Luce ◽  
J. Lin ◽  
T. Bray ◽  
S.N. Nagda
Keyword(s):  
Imaging System ◽  
Dual Energy ◽  
Dual Energy Imaging

Development and implementation of a high-performance, cardiac-gated dual-energy imaging system

2007 ◽  
Author(s):  
N. A. Shkumat ◽  
J. H. Siewerdsen ◽  
A. C. Dhanantwari ◽  
D. B. Williams ◽  
S. Richard ◽  
...  
Keyword(s):  
High Performance ◽  
Imaging System ◽  
Dual Energy ◽  
Dual Energy Imaging

scholarly journals A novel phantom for characterization of dual energy imaging using an on-board imaging system

2019 ◽  
Vol 64 (3) ◽  
pp. 03NT01 ◽  
Author(s):  
Maksat Haytmyradov ◽  
Rakesh Patel ◽  
Hassan Mostafavi ◽  
Murat Surucu ◽  
Adam Wang ◽  
...  
Keyword(s):  
Imaging System ◽  
Dual Energy ◽  
Dual Energy Imaging

Dual energy imaging using a clinical on-board imaging system

2013 ◽  
Vol 58 (12) ◽  
pp. 4331-4340 ◽  
Author(s):  
M A Hoggarth ◽  
J Luce ◽  
F Syeda ◽  
T S Bray ◽  
A Block ◽  
...  
Keyword(s):  
Imaging System ◽  
Dual Energy ◽  
Dual Energy Imaging

Material Identification in Presence of Metal for Baggage Screening

2020 ◽  
Vol 2020 (14) ◽  
pp. 294-1-294-8
Author(s):  
Sandamali Devadithya ◽  
David Castañón
Keyword(s):  
Atomic Number ◽  
Effective Atomic Number ◽  
Simulated Data ◽  
Dual Energy ◽  
Basis Functions ◽  
Total Variation Regularization ◽  
Ct Scanner ◽  
Edge Preserving ◽  
Baggage Screening ◽  
Dual Energy Imaging

Dual-energy imaging has emerged as a superior way to recognize materials in X-ray computed tomography. To estimate material properties such as effective atomic number and density, one often generates images in terms of basis functions. This requires decomposition of the dual-energy sinograms into basis sinograms, and subsequently reconstructing the basis images. However, the presence of metal can distort the reconstructed images. In this paper we investigate how photoelectric and Compton basis functions, and synthesized monochromatic basis (SMB) functions behave in the presence of metal and its effect on estimation of effective atomic number and density. Our results indicate that SMB functions, along with edge-preserving total variation regularization, show promise for improved material estimation in the presence of metal. The results are demonstrated using both simulated data as well as data collected from a dualenergy medical CT scanner.

scholarly journals A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner

2020 ◽  
pp. 1-1
Author(s):  
Sanghoon Cho ◽  
Seoyoung Lee ◽  
Jongha Lee ◽  
Donghyeon Lee ◽  
Hyoyi Kim ◽  
...  
Keyword(s):  
Low Dose ◽  
Dual Energy ◽  
Imaging Method ◽  
Ct Scanner ◽  
Dual Energy Imaging ◽  
Fast Rotating

scholarly journals A Method to Improve Electron Density Measurement of Cone-Beam CT Using Dual Energy Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Kuo Men ◽  
Jian-Rong Dai ◽  
Ming-Hui Li ◽  
Xin-Yuan Chen ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Electron Density ◽  
Cone Beam Ct ◽  
Density Measurement ◽  
Dual Energy ◽  
Cone Beam ◽  
Imaging Method ◽  
Basis Material ◽  
X Ray ◽  
Dual Energy Imaging ◽  
Set Up

Purpose. To develop a dual energy imaging method to improve the accuracy of electron density measurement with a cone-beam CT (CBCT) device.Materials and Methods. The imaging system is the XVI CBCT system on Elekta Synergy linac. Projection data were acquired with the high and low energy X-ray, respectively, to set up a basis material decomposition model. Virtual phantom simulation and phantoms experiments were carried out for quantitative evaluation of the method. Phantoms were also scanned twice with the high and low energy X-ray, respectively. The data were decomposed into projections of the two basis material coefficients according to the model set up earlier. The two sets of decomposed projections were used to reconstruct CBCT images of the basis material coefficients. Then, the images of electron densities were calculated with these CBCT images.Results. The difference between the calculated and theoretical values was within 2% and the correlation coefficient of them was about 1.0. The dual energy imaging method obtained more accurate electron density values and reduced the beam hardening artifacts obviously.Conclusion. A novel dual energy CBCT imaging method to calculate the electron densities was developed. It can acquire more accurate values and provide a platform potentially for dose calculation.

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