A simulation study on basis material composition for dual energy CT imaging at high-energy level

2008 ◽  
Author(s):  
Xinhui Duan ◽  
Li Zhang ◽  
Jianping Cheng ◽  
Zhiqiang Chen ◽  
Yuxiang Xing
Keyword(s):  
Energy Level ◽  
Simulation Study ◽  
High Energy ◽  
Dual Energy ◽  
Ct Imaging ◽  
Material Composition ◽  
Dual Energy Ct ◽  
Basis Material ◽  
High Energy Level

scholarly journals Simultaneous Reduction in Noise and Cross-Contamination Artifacts for Dual-Energy X-Ray CT

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Baojun Li ◽  
Baohong Li ◽  
Jack Luo ◽  
Peng Tang ◽  
Jiandong Mao ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Signal To Noise Ratio ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Original Material ◽  
Cross Contamination ◽  
Material Density ◽  
Basis Material ◽  
Contrast Enhanced

Purpose.Dual-energy CT imaging tends to suffer from much lower signal-to-noise ratio than single-energy CT. In this paper, we propose an improved anticorrelated noise reduction (ACNR) method without causing cross-contamination artifacts.Methods.The proposed algorithm diffuses both basis material density images (e.g., water and iodine) at the same time using a novel correlated diffusion algorithm. The algorithm has been compared to the original ACNR algorithm in a contrast-enhanced, IRB-approved patient study. Material density accuracy and noise reduction are quantitatively evaluated by the percent density error and the percent noise reduction.Results.Both algorithms have significantly reduced the noises of basis material density images in all cases. The average percent noise reduction is 69.3% and 66.5% with the ACNR algorithm and the proposed algorithm, respectively. However, the ACNR algorithm alters the original material density by an average of 13% (or 2.18 mg/cc) with a maximum of 58.7% (or 8.97 mg/cc) in this study. This is evident in the water density images as massive cross-contaminations are seen in all five clinical cases. On the contrary, the proposed algorithm only changes the mean density by 2.4% (or 0.69 mg/cc) with a maximum of 7.6% (or 1.31 mg/cc). The cross-contamination artifacts are significantly minimized or absent with the proposed algorithm.Conclusion.The proposed algorithm can significantly reduce image noise present in basis material density images from dual-energy CT imaging, with minimized cross-contaminations compared to the ACNR algorithm.

Abstract P327: Utilizing Iodine Contrast Extravasation Post Reperfusion and Dual Energy Ct Imaging to Predict Risk of Hemorrhagic Conversion in Acute Stroke Patients

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Tri Huynh* ◽  
Niran Vijayaraghavan* ◽  
Hannah Branstetter ◽  
Natalie Buchwald ◽  
Justin De Prey ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Infarct Volume ◽  
Reperfusion Therapy ◽  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Stroke Patients ◽  
Post Intervention ◽  
Contrast Extravasation ◽  
Post Contrast

Introduction: Hyperintense acute reperfusion marker (HARM) has been identified on post-contrast magnetic resonance imaging (MRI) to be a marker of hemorrhagic conversion (HC) post reperfusion therapy in acute stroke patients. We have previously described a case where MRI HARM was mimicked on post contrast computed topography (CT) imaging in an acute stroke patient post reperfusion. Dual-Energy (DECT) allows for differentiation between acute blood and iodine contrast extravasation (ICE), and thus can have utility when ICE is present. Here we sought to validate whether post-intervention ICE/CT hyperdensity reperfusion maker (CT HARM), and contrast subtracted on DECT is associated with HC in acute stroke patients. Method: Data was obtained from our Institutional Review Board approved stroke admission database from January 2017 to November 2019, including ischemic stroke patients that received thrombolysis or thrombectomy, had evaluable images within 24 hours of admission, and received a DECT. Ischemic volumes of the stroke was measured on diffusion-weighted image (DWI). ICE was measured on CT head and DECT using the freehand 3D region of interest tool on the Visage Imaging PACS System. Susceptibility weighted MRI sequences were used to grade HC. Data analysis was conducted with regression modeling. Results: A total of 82 patients were included, 49% women, median age 73 (interquartile range (IQR), 61- 77), admission NIHSS 12 (IQR, 7 - 21), 24 hour change in NIHSS 4 (IQR, 0 -13), glucose 125 (IQR, 106 -158), creatinine 1.0 (IQR, 0.8 - 1.2), infarct volume 50.6 ± 7.1 mL, 48% treated with thrombectomy, 7% with PH-1 or PH-2 identified on MRI, and 56% with MCA infarcts. ICE volume was 2.6 ± 1.0 mL and DECT volume was 2.2 ± 1.1mL. ICE increased the likelihood of MRI confirmed PH-1 or PH-2 hemorrhagic conversion (odds ratio (OR) 14.34, 95% confidence interval (CI) 5.74 - 22.94) and decreased likelihood of increase in NIHSS at 24 hours (OR 0.20, 95% CI 0.01 to 0.40). There were no other significant associations with ICE or DECT volumes. Conclusion: Our results are supportive of our proposed association between CT HARM and risk of HC. More studies are needed to study whether quantitative of DECT can be predictive of stroke outcomes post reperfusion therapy.

Recognizing Strengths

2017 ◽  
pp. 39-44
Author(s):  
Jan Willer
Keyword(s):  
Energy Level ◽  
Clinical Observation ◽  
High Energy ◽  
Team Members ◽  
High Energy Level

Strengths may come from ADHD itself or from the experience of living with ADHD. This topic has been neglected by researchers, as most research focuses on the disadvantages of ADHD; therefore, much of this chapter is speculative, based on clinical observation and anecdote. Possible advantages people with ADHD may have include having a high energy level, being extremely passionate about and dedicated to things that interest them, having the ability to power through a large task, being creative and innovative, being valuable team members, having entrepreneurial zeal, having high levels of adaptability and resilience, being nonjudgmental, and being good at using their strengths and resources.

Dual-energy CT to detect recurrent HCC after TACE: Initial experience of color-coded iodine CT imaging

2013 ◽  
Vol 82 (4) ◽  
pp. 569-576 ◽  
Author(s):  
Jeong-Ah Lee ◽  
Woo Kyoung Jeong ◽  
Yongsoo Kim ◽  
Soon-Young Song ◽  
Jinoo Kim ◽  
...  
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Initial Experience
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