SU-F-I-41: Calibration-Free Material Decomposition for Dual-Energy CT

2016 ◽  
Vol 43 (6Part8) ◽  
pp. 3396-3396
Author(s):  
W Zhao ◽  
L Xing ◽  
Q Zhang ◽  
G Xiong ◽  
J Min
Keyword(s):  
Dual Energy ◽  
Dual Energy Ct ◽  
Material Decomposition ◽  
Calibration Free ◽  
Free Material

Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

2015 ◽  
Vol 62 (2) ◽  
pp. 754-765 ◽  
Author(s):  
Wenli Cai ◽  
June-Goo Lee ◽  
Da Zhang ◽  
Se Hyung Kim ◽  
Michael Zalis ◽  
...  
Keyword(s):  
Ct Colonography ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Material Decomposition ◽  
Fecal Tagging

A study on noise reduction for dual-energy CT material decomposition with autoencoder

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Mohan Li ◽  
Zhe Wang ◽  
Qiong Xu ◽  
Zhidu Zhang ◽  
Zhiwei Cheng ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Material Decomposition

A general framework of noise suppression in material decomposition for dual-energy CT

2015 ◽  
Vol 42 (8) ◽  
pp. 4848-4862 ◽  
Author(s):  
Michael Petrongolo ◽  
Xue Dong ◽  
Lei Zhu
Keyword(s):  
General Framework ◽  
Noise Suppression ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Material Decomposition

scholarly journals Urinary stones: The contribution of dual energy CT and material decomposition

2013 ◽  
Vol 94 (11) ◽  
pp. 1165-1168 ◽  
Author(s):  
C. Sanavi ◽  
C. Werquin ◽  
A. Fekir ◽  
C. Pinson ◽  
H. Bugel ◽  
...  
Keyword(s):  
Dual Energy ◽  
Urinary Stones ◽  
Dual Energy Ct ◽  
Material Decomposition

scholarly journals Diagnostic accuracy of quantitative dual-energy CT-based volumetric bone mineral density assessment for the prediction of osteoporosis-associated fractures

2021 ◽  
Author(s):  
Leon D. Gruenewald ◽  
Vitali Koch ◽  
Simon S. Martin ◽  
Ibrahim Yel ◽  
Katrin Eichler ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
At Risk ◽  
Bone Mineral ◽  
Osteoporotic Fractures ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Volumetric Bone Mineral Density ◽  
Material Decomposition ◽  
Mineral Density ◽  
Risk Patients

Abstract Objectives To evaluate the predictive value of volumetric bone mineral density (BMD) assessment of the lumbar spine derived from phantomless dual-energy CT (DECT)-based volumetric material decomposition as an indicator for the 2-year occurrence risk of osteoporosis-associated fractures. Methods L1 of 92 patients (46 men, 46 women; mean age, 64 years, range, 19–103 years) who had undergone third-generation dual-source DECT between 01/2016 and 12/2018 was retrospectively analyzed. For phantomless BMD assessment, dedicated DECT postprocessing software using material decomposition was applied. Digital files of all patients were sighted for 2 years following DECT to obtain the incidence of osteoporotic fractures. Receiver operating characteristic (ROC) analysis was used to calculate cut-off values and logistic regression models were used to determine associations of BMD, sex, and age with the occurrence of osteoporotic fractures. Results A DECT-derived BMD cut-off of 93.70 mg/cm3 yielded 85.45% sensitivity and 89.19% specificity for the prediction to sustain one or more osteoporosis-associated fractures within 2 years after BMD measurement. DECT-derived BMD was significantly associated with the occurrence of new fractures (odds ratio of 0.8710, 95% CI, 0.091–0.9375, p < .001), indicating a protective effect of increased DECT-derived BMD values. Overall AUC was 0.9373 (CI, 0.867–0.977, p < .001) for the differentiation of patients who sustained osteoporosis-associated fractures within 2 years of BMD assessment. Conclusions Retrospective DECT-based volumetric BMD assessment can accurately predict the 2-year risk to sustain an osteoporosis-associated fracture in at-risk patients without requiring a calibration phantom. Lower DECT-based BMD values are strongly associated with an increased risk to sustain fragility fractures. Key Points •Dual-energy CT–derived assessment of bone mineral density can identify patients at risk to sustain osteoporosis-associated fractures with a sensitivity of 85.45% and a specificity of 89.19%. •The DECT-derived BMD threshold for identification of at-risk patients lies above the American College of Radiology (ACR) QCT guidelines for the identification of osteoporosis (93.70 mg/cm3 vs 80 mg/cm3).

scholarly journals DIRECT‐Net: a unified mutual‐domain material decomposition network for quantitative dual‐energy CT imaging

2021 ◽  
Author(s):  
Ting Su ◽  
Xindong Sun ◽  
Jiecheng Yang ◽  
Donghua Mi ◽  
Yikun Zhang ◽  
...  
Keyword(s):  
Dual Energy ◽  
Ct Imaging ◽  
Dual Energy Ct ◽  
Material Decomposition
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