Dual Energy-Spectral CT in Neurovascular Imaging

2015 ◽  
pp. 79-93
Author(s):  
Reade De Leacy ◽  
Lawrence Tanenbaum
Keyword(s):  
Dual Energy ◽  
Spectral Ct ◽  
Neurovascular Imaging

scholarly journals Exploring the best monochromatic energy level in dual energy spectral imaging for coronary stents after percutaneous coronary intervention

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Qian Liu ◽  
Yajuan Wang ◽  
Haicheng Qi ◽  
Yaohui Yu ◽  
Yan Xing
Keyword(s):  
Percutaneous Coronary Intervention ◽  
Energy Level ◽  
Coronary Intervention ◽  
Dual Energy ◽  
Spectral Ct ◽  
Beam Hardening ◽  
Subjective Image Quality ◽  
Ct Value ◽  
Percutaneous Coronary

AbstractIn this study, the optimal monochromatic energy level in dual-energy spectral CT required for imaging coronary stents after percutaneous coronary intervention (PCI) was explored. Thirty-five consecutive patients after PCI were examined using the dual-energy spectral CT imaging mode. The original images were reconstructed at 40–140 keV (10-keV interval) monochromatic levels. The in-stent and out-stent CT values at each monochromatic level were measured to calculate the signal-to-noise ratio(SNR) and contrast-to-noise ratio (CNR) for the vessel and the CT value difference between the in-stent and out-stent lumen (dCT (in–out)), which reflects the artificial CT number increase due to the beam hardening effect caused by the stents. The subjective image quality of the stent and in-stent vessel was evaluated by two radiologists using a 5-point scale. With the increase in energy level, the CT value, SNR, CNR, and dCT (in–out) all decreased. At 80 keV, the mean CT value in-stent reached (345.24 ± 93.43) HU and dCT (in–out) started plateauing. In addition, the subjective image quality of the stents and vessels peaked at 80 keV. The 80 keV monochromatic images are optimal for imaging cardiac patients with stents after PCI, balancing the enhancement and SNR and CNR in the vessels while minimizing the beam hardening artifacts caused by the stents.

Dual energy spectral CT imaging for the evaluation of small hepatocellular carcinoma microvascular invasion

2017 ◽  
Vol 95 ◽  
pp. 222-227 ◽  
Author(s):  
Chuang-bo Yang ◽  
Shuang Zhang ◽  
Yong-jun Jia ◽  
Yong Yu ◽  
Hai-feng Duan ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dual Energy ◽  
Ct Imaging ◽  
Microvascular Invasion ◽  
Small Hepatocellular Carcinoma ◽  
Spectral Ct

Dual energy spectral CT imaging of insulinoma—Value in preoperative diagnosis compared with conventional multi-detector CT

2012 ◽  
Vol 81 (10) ◽  
pp. 2487-2494 ◽  
Author(s):  
Xiao Zhu Lin ◽  
Zhi Yuan Wu ◽  
Ran Tao ◽  
Yan Guo ◽  
Jian Ying Li ◽  
...  
Keyword(s):  
Preoperative Diagnosis ◽  
Dual Energy ◽  
Ct Imaging ◽  
Spectral Ct

Pseudoenhancement effects on iodine quantification from dual-energy spectral CT systems: A multi-vendor phantom study regarding renal lesion characterization

2018 ◽  
Vol 105 ◽  
pp. 125-133 ◽  
Author(s):  
Todd C. Soesbe ◽  
Lakshmi Ananthakrishnan ◽  
Matthew A. Lewis ◽  
Xinhui Duan ◽  
Khaled Nasr ◽  
...  
Keyword(s):  
Dual Energy ◽  
Phantom Study ◽  
Renal Lesion ◽  
Spectral Ct ◽  
Iodine Quantification ◽  
Lesion Characterization

Dual-Energy (Spectral) CT: Applications in Abdominal Imaging

Radiographics ◽  
2011 ◽  
Vol 31 (4) ◽  
pp. 1031-1046 ◽  
Author(s):  
Alvin C. Silva ◽  
Brian G. Morse ◽  
Amy K. Hara ◽  
Robert G. Paden ◽  
Norio Hongo ◽  
...  
Keyword(s):  
Dual Energy ◽  
Abdominal Imaging ◽  
Spectral Ct

scholarly journals Dual-energy Spectral CT Quantitative Parameters for the Differentiation of Glioma Recurrence from Treatment-Related Changes: A Preliminary Study

2019 ◽  
Author(s):  
Yanchun Lv ◽  
Jian Zhou ◽  
Xiaofei Lv ◽  
Li Tian ◽  
Haoqiang He ◽  
...  
Keyword(s):  
Atomic Number ◽  
Predictive Value ◽  
Effective Atomic Number ◽  
Roc Curves ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Spectral Ct ◽  
Quantitative Parameters ◽  
Glioma Recurrence ◽  
Venous Phase

Abstract Background: Differentiating glioma recurrence from treatment-related changes can be challenging on conventional imaging. We evaluated the use of dual-energy spectral computed tomographic (CT) quantitative parameters for this differentiation. Methods: Twenty-eight patients were examined by dual-energy spectral imaging CT. The slope of the spectral Hounsfield unit curve (λ HU ), effective atomic number (Z eff ), normalized effective atomic number (Z eff-N ), iodine concentration (IC), and normalized iodine concentration (IC N ) in the post-treatment enhanced areas were calculated. Pathological results or clinicoradiologic follow-up of ≥2 months were used for final diagnosis. Nonparametric and t -tests were used to compare quantitative parameters between glioma recurrence and treatment-related changes. Positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated; sensitivity and specificity were calculated using receiver operating characteristic (ROC) curves. ROC curves were generated using predictive probabilities to evaluate the diagnostic value. Results: There were no significant differences in quantitative parameters based on examination of pre-contrast λ HU , Z eff , Z eff-N , IC, IC N and venous phase IC N ( P >0.05). Venous phase λ HU , Z eff , Z eff-N , and IC in glioma recurrence were higher than in treatment-related changes ( P <0.001). The optimal venous phase threshold was 1.03, 7.75, 1.04, and 2.85 mg/cm 3 , achieving 66.7%, 91.7%, 83.3%, and 91.7% sensitivity; 100.0%, 77.8%, 88.9%, and 77.8% specificity; 100.0%, 73.3%, 83.3%, and 73.3% PPV; 81.8%, 93.3%, 88.9%, and 93.3% NPV; and 86.7%, 83.3%, 86.7%, and 83.3% accuracy, respectively. The areas under the curve (AUC) were 0.912, 0.912, 0.931, and 0.910 in glioma recurrence and treatment-related changes, respectively. Conclusions: Dual-energy spectral CT imaging may provide quantitative values to aid in differentiation of glioma recurrence from treatment-related changes.

Optimize non-contrast head CT imaging tasks using multiple virtual monochromatic image sets in dual-energy spectral CT

2020 ◽  
Vol 28 (2) ◽  
pp. 345-356
Author(s):  
Xiaohu Li ◽  
Zhijie Li ◽  
Jianying Li ◽  
Jian Song ◽  
Yongqiang Yu ◽  
...  
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Spectral Ct ◽  
Head Ct ◽  
Monochromatic Image ◽  
Virtual Monochromatic Image
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