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Impact of acquisition and reconstruction parameters on quantitative accuracy in dual-layer spectral CT: A phantom
Lingxuan Leng1, Qizhen Zhu1, HuiYing Qu1
1Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Purpose:
This study aims to systematically evaluate the impact of different CT acquisition and reconstruction parameters on the accuracy of dual-layer spectral CT-based functional imaging, including effective atomic number (Zeff) maps, relative electron density (RED) maps, and virtual monochromatic images (VMIs).
Methods:
A standardized phantom equipped with various material inserts, including air, soft-tissue-equivalent, polymer, and bone-equivalent materials, was scanned using a dual-layer spectral CT system. The investigated acquisition and reconstruction parameters included tube voltage, tube current-time product (mAs), reconstruction thickness, pitch, and reconstruction filter. Quantitative accuracy was assessed for RED and Zeff by comparison with manufacturer-provided reference values, using Bland-Altman analysis. Comparative analyses were performed between VMIs at 40, 70, and 100 keV and conventional CT (120 kVp single-energy reconstruction from the dual-layer system) by calculating the mean and standard deviation of Hounsfield units (HU) differences, to evaluate the dependence of CT number stability on acquisition and reconstruction parameters.
Results:
Across all acquisition and reconstruction parameters, RED and Zeff measurements remained accurate, with signed differences within 2.4% and 0.4%, respectively. Compared with conventional CT, VMIs demonstrated greater robustness to parameter change. At 70 keV, HU variations did not exceed 8 HU, whereas conventional CT exhibited deviations up to 118 HU. Low-energy VMIs (40 keV) showed greater variability, with a maximum difference of 27 HU. Among the investigated parameters, tube voltage exerted the most evident influence.
Conclusion:
Dual-layer spectral CT demonstrated quantitative accuracy in functional imaging (ED, Zeff, and VMIs) across diverse acquisition and reconstruction parameters.
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