Spectral photon-counting CT system: Toward improved image quality performance in conventional and spectral CT imaging

2021 ◽  
Vol 102 (5) ◽  
pp. 271-272
Author(s):  
Joel Greffier ◽  
Julien Frandon
Keyword(s):  
Image Quality ◽  
Photon Counting ◽  
Ct Imaging ◽  
Spectral Ct ◽  
Quality Performance ◽  
Ct System

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.

scholarly journals Spectral CT Imaging of Laryngeal and Hypopharyngeal Squamous Cell Carcinoma: Evaluation of Image Quality and Status of Lymph Nodes

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83492 ◽  
Author(s):  
Aiyin Li ◽  
Hui Liang ◽  
Wei Li ◽  
Zhongzhou Wang ◽  
Tao Pang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Image Quality ◽  
Lymph Nodes ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Ct Imaging ◽  
Spectral Ct ◽  
Hypopharyngeal Squamous Cell Carcinoma

Spectral CT Imaging in Patients with Budd-Chiari Syndrome: Investigation of Image Quality

2014 ◽  
Vol 70 (2) ◽  
pp. 1043-1049 ◽  
Author(s):  
Lei Su ◽  
Junqiang Dong ◽  
Qiang Sun ◽  
Jie Liu ◽  
Peijie Lv ◽  
...  
Keyword(s):  
Image Quality ◽  
Ct Imaging ◽  
Spectral Ct ◽  
Budd Chiari Syndrome ◽  
Chiari Syndrome

Improving Image Quality of Pancreatic Cancer and Surrounding Vessels with Spectral CT Imaging

2015 ◽  
Vol 11 (3) ◽  
pp. 185-191
Author(s):  
Qi Miao ◽  
Xiaoling Li ◽  
Ke Ren ◽  
Yu Zhao ◽  
Li Zhao ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Image Quality ◽  
Ct Imaging ◽  
Spectral Ct

Improving image quality in portal venography with spectral CT imaging

2012 ◽  
Vol 81 (8) ◽  
pp. 1677-1681 ◽  
Author(s):  
Li-qin Zhao ◽  
Wen He ◽  
Jian-ying Li ◽  
Jiang-hong Chen ◽  
Ke-yang Wang ◽  
...  
Keyword(s):  
Image Quality ◽  
Ct Imaging ◽  
Spectral Ct ◽  
Portal Venography

scholarly journals Breast Tissue Characterization with Photon-counting Spectral CT Imaging: A Postmortem Breast Study

Radiology ◽  
2014 ◽  
Vol 272 (3) ◽  
pp. 731-738 ◽  
Author(s):  
Huanjun Ding ◽  
Michael J. Klopfer ◽  
Justin L. Ducote ◽  
Fumitaro Masaki ◽  
Sabee Molloi
Keyword(s):  
Breast Tissue ◽  
Tissue Characterization ◽  
Photon Counting ◽  
Ct Imaging ◽  
Spectral Ct

Ultralow Dose CT Imaging for Navigated Skull Base Surgery Using ASIR and MBIR-2D and 3D Image Quality

2014 ◽  
Vol 75 (S 02) ◽  
Author(s):  
Gerlig Widmann ◽  
P. Schullian ◽  
R. Hoermann ◽  
E. Gassner ◽  
H. Riechelmann ◽  
...  
Keyword(s):  
Image Quality ◽  
Skull Base ◽  
Skull Base Surgery ◽  
Ct Imaging ◽  
3D Image ◽  
Ultralow Dose ◽  
2D And 3D

scholarly journals Threshold-dependent iodine imaging and spectral separation in a whole-body photon-counting CT system

2021 ◽  
Author(s):  
S. Sawall ◽  
L. Klein ◽  
E. Wehrse ◽  
L. T. Rotkopf ◽  
C. Amato ◽  
...  
Keyword(s):  
Image Quality ◽  
Photon Counting ◽  
Dual Energy ◽  
Whole Body ◽  
Dual Energy Ct ◽  
Post Mortem ◽  
Tube Voltage ◽  
Spectral Separation ◽  
Dual Source ◽  
Noise Ratio

Abstract Objective To evaluate the dual-energy (DE) performance and spectral separation with respect to iodine imaging in a photon-counting CT (PCCT) and compare it to dual-source CT (DSCT) DE imaging. Methods A semi-anthropomorphic phantom extendable with fat rings equipped with iodine vials is measured in an experimental PCCT. The system comprises a PC detector with two energy bins (20 keV, T) and (T, eU) with threshold T and tube voltage U. Measurements using the PCCT are performed at all available tube voltages (80 to 140 kV) and threshold settings (50–90 keV). Further measurements are performed using a conventional energy-integrating DSCT. Spectral separation is quantified as the relative contrast media ratio R between the energy bins and low/high images. Image noise and dose-normalized contrast-to-noise ratio (CNRD) are evaluated in resulting iodine images. All results are validated in a post-mortem angiography study. Results R of the PC detector varies between 1.2 and 2.6 and increases with higher thresholds and higher tube voltage. Reference R of the EI DSCT is found as 2.20 on average overall phantoms. Maximum CNRD in iodine images is found for T = 60/65/70/70 keV for 80/100/120/140 kV. The highest CNRD of the PCCT is obtained using 140 kV and is decreasing with decreasing tube voltage. All results could be confirmed in the post-mortem angiography study. Conclusion Intrinsically acquired DE data are able to provide iodine images similar to conventional DSCT. However, PCCT thresholds should be chosen with respect to tube voltage to maximize image quality in retrospectively derived image sets. Key Points • Photon-counting CT allows for the computation of iodine images with similar quality compared to conventional dual-source dual-energy CT. • Thresholds should be chosen as a function of the tube voltage to maximize iodine contrast-to-noise ratio in derived image sets. • Image quality of retrospectively computed image sets can be maximized using optimized threshold settings.

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