PO-1732: Feasibility of virtual dual-energy imaging through deep learning for markerless tumour tracking

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.

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Deep learning image reconstruction algorithm for pancreatic protocol dual-energy computed tomography: image quality and quantification of iodine concentration

European Radiology ◽

10.1007/s00330-021-08121-3 ◽

2021 ◽

Author(s):

Yoshifumi Noda ◽

Nobuyuki Kawai ◽

Shoma Nagata ◽

Fumihiko Nakamura ◽

Takayuki Mori ◽

...

Keyword(s):

Computed Tomography ◽

Deep Learning ◽

Image Reconstruction ◽

Image Quality ◽

Reconstruction Algorithm ◽

Iodine Concentration ◽

Dual Energy ◽

Image Reconstruction Algorithm ◽

Tomography Image ◽

Computed Tomography Image

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

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2020.3044357 ◽

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

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

BioMed Research International ◽

10.1155/2015/858907 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 1

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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