WE-D-BRF-05: Quantitative Dual-Energy CT Imaging for Proton Stopping Power Computation

2014 ◽  
Vol 41 (6Part29) ◽  
pp. 496-496
Author(s):  
D Han ◽  
J Siebers ◽  
J Williamson
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Stopping Power ◽  
Dual Energy Ct

scholarly journals Status and innovations in pre-treatment CT imaging for proton therapy

2020 ◽  
Vol 93 (1107) ◽  
pp. 20190590 ◽  
Author(s):  
Patrick Wohlfahrt ◽  
Christian Richter
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Particle Therapy ◽  
Stopping Power ◽  
Current Status ◽  
Dual Energy Ct ◽  
Power Prediction ◽  
Alternative Technologies ◽  
Accuracy And Precision ◽  
Pre Treatment

Pre-treatment CT imaging is a topic of growing importance in particle therapy. Improvements in the accuracy of stopping-power prediction are demanded to allow for a dose conformality that is not inferior to state-of-the-art image-guided photon therapy. Although range uncertainty has been kept practically constant over the last decades, recent technological and methodological developments, like the clinical application of dual-energy CT, have been introduced or arise at least on the horizon to improve the accuracy and precision of range prediction. This review gives an overview of the current status, summarizes the innovations in dual-energy CT and its potential impact on the field as well as potential alternative technologies for stopping-power prediction.

scholarly journals A linear, separable two-parameter model for dual energy CT imaging of proton stopping power computation

2016 ◽  
Vol 43 (1) ◽  
pp. 600-612 ◽  
Author(s):  
Dong Han ◽  
Jeffrey V. Siebers ◽  
Jeffrey F. Williamson
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Stopping Power ◽  
Dual Energy Ct ◽  
Two Parameter

scholarly journals PV-0564: Experimental validation of proton stopping power calculations based on dual energy CT imaging

2016 ◽  
Vol 119 ◽  
pp. S271-S272
Author(s):  
J.K. Van Abbema ◽  
M.J. Van Goethem ◽  
J. Mulder ◽  
A.K. Biegun ◽  
M.J.W. Greuter ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Dual Energy ◽  
Ct Imaging ◽  
Stopping Power ◽  
Dual Energy Ct ◽  
Power Calculations

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.

Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samples

2017 ◽  
Vol 63 (1) ◽  
pp. 015012 ◽  
Author(s):  
Vicki T Taasti ◽  
Gregory J Michalak ◽  
David C Hansen ◽  
Amanda J Deisher ◽  
Jon J Kruse ◽  
...  
Keyword(s):  
Dual Energy ◽  
Stopping Power ◽  
Dual Energy Ct ◽  
Power Ratio ◽  
Ratio Estimation ◽  
Fresh Tissue ◽  
Tissue Samples
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