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Dual Energy CT (DECT) Monochromatic Imaging: Added Value of Adaptive Statistical Iterative Reconstructions (ASIR) in Portal Venography

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单位: [1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China [2]Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
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Objective To investigate the effect of the adaptive statistical iterative reconstructions (ASIR) on image quality in portal venography by dual energy CT (DECT) imaging. Materials and Methods DECT scans of 45 cirrhotic patients obtained in the portal venous phase were analyzed. Monochromatic images at 70keV were reconstructed with the following 4 ASIR percentages: 0%, 30%, 50%, and 70%. The image noise (IN) (standard deviation, SD) of portal vein (PV), the contrast-to-noise-ratio (CNR), and the subjective score for the sharpness of PV boundaries, and the diagnostic acceptability (DA) were obtained. The IN, CNR, and the subjective scores were compared among the four ASIR groups. Results The IN (in HU) of PV (10.05 +/- 3.14, 9.23 +/- 3.05, 8.44 +/- 2.95 and 7.83 +/- 2.90) decreased and CNR values of PV (8.04 +/- 3.32, 8.95 +/- 3.63, 9.80 +/- 4.12 and 10.74 +/- 4.73) increased with the increase in ASIR percentage (0%, 30%, 50%, and 70%, respectively), and were statistically different for the 4 ASIR groups (p<0.05). The subjective scores showed that the sharpness of portal vein boundaries (3.13 +/- 0.59, 2.82 +/- 0.44, 2.73 +/- 0.54 and 2.07 +/- 0.54) decreased with higher ASIR percentages (p<0.05). The subjective diagnostic acceptability was highest at 30% ASIR (p<0.05). Conclusions 30% ASIR addition in DECT portal venography could improve the 70 keV monochromatic image quality.

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出版当年[2015]版:
大类 | 3 区 生物
小类 | 3 区 综合性期刊
最新[2025]版:
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
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出版当年[2014]版:
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q1 MULTIDISCIPLINARY SCIENCES

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2014版] 出版当年五年平均[2010-2014] 出版前一年[2013版] 出版后一年[2015版]

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第一作者单位: [1]Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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