NEQ and task in dual-energy imaging: from cascaded systems analysis to human observer performance

2008 ◽  
Author(s):  
Samuel Richard ◽  
Jeffrey H. Siewerdsen ◽  
Daniel J. Tward
Keyword(s):  
Systems Analysis ◽  
Dual Energy ◽  
Observer Performance ◽  
Human Observer ◽  
Dual Energy Imaging ◽  
Cascaded Systems ◽  
And Task

Cascaded systems analysis of noise reduction algorithms in dual-energy imaging

2008 ◽  
Vol 35 (2) ◽  
pp. 586-601 ◽  
Author(s):  
Samuel Richard ◽  
Jeffrey H. Siewerdsen
Keyword(s):  
Noise Reduction ◽  
Systems Analysis ◽  
Dual Energy ◽  
Dual Energy Imaging ◽  
Cascaded Systems

Cascaded systems analysis of anatomic noise in digital mammography and dual-energy digital mammography

2019 ◽  
Vol 64 (21) ◽  
pp. 215002 ◽  
Author(s):  
Jesse Tanguay ◽  
Robert Lalonde ◽  
Thorarin A Bjarnason ◽  
Chang-Ying Joseph Yang
Keyword(s):  
Digital Mammography ◽  
Systems Analysis ◽  
Dual Energy ◽  
Cascaded Systems

scholarly journals Cascaded systems analysis of noise and detectability in dual-energy cone-beam CT

2012 ◽  
Vol 39 (8) ◽  
pp. 5145-5156 ◽  
Author(s):  
Grace J. Gang ◽  
Wojciech Zbijewski ◽  
J. Webster Stayman ◽  
Jeffrey H. Siewerdsen
Keyword(s):  
Systems Analysis ◽  
Cone Beam Ct ◽  
Dual Energy ◽  
Cone Beam ◽  
Cascaded Systems ◽  
Energy Cone

WE-G-110-02: A Cascaded Systems Model for Imaging Performance and Task-Based Optimization in Dual-Energy Cone-Beam CT

2011 ◽  
Vol 38 (6Part33) ◽  
pp. 3833-3833
Author(s):  
G Gang ◽  
P Prakash ◽  
W Zbijewski ◽  
J Stayman ◽  
J Siewerdsen
Keyword(s):  
Cone Beam Ct ◽  
Dual Energy ◽  
Cone Beam ◽  
Systems Model ◽  
Cascaded Systems ◽  
Energy Cone ◽  
Imaging Performance ◽  
And Task

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.

Sign in / Sign up

Export Citation Format

Share Document