ISSN 1004-4140
CN 11-3017/P
Volume 32 Issue 4
Jul.  2023
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LI J J, ZHANG L, LIU M W, et al. In vivo study of the influence of CT acquisition and reconstruction parameters on chest CT number[J]. CT Theory and Applications, 2023, 32(4): 480-486. DOI: 10.15953/j.ctta.2022.109. (in Chinese).
Citation: LI J J, ZHANG L, LIU M W, et al. In vivo study of the influence of CT acquisition and reconstruction parameters on chest CT number[J]. CT Theory and Applications, 2023, 32(4): 480-486. DOI: 10.15953/j.ctta.2022.109. (in Chinese).
shu

In Vivo Study of the Influence of CT Acquisition and Reconstruction Parameters on Chest CT Number

  • 1.

    Departments of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

  • 2.

    Department of Radiology, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing 100142, China

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  • Received Date: September 04, 2022
  • Available Online: September 29, 2022
  • Published Date: July 30, 2023
    Graphical Abstract
    • Abstract
  • Objective: To explore the influence of different CT acquisition and reconstruction parameters on the CT number of the chest in vivo. Methods: The CT number of the trachea, blood vessels, lungs, vertebral bodies, and muscles of the human chest were measured under different CT scanning parameters. Six groups of different scanning parameters and reconstruction algorithms were set respectively: slice thickness 5 mm, 50% multi-model adaptive statistical iterative reconstruction Veo (ASIR-V) and low-dose for S1; slice thickness 5 mm, filtered back projection (FBP) and standard-dose for S2; slice thickness 1.25 mm, 50% ASIR-V and low-dose for S3; slice thickness 1.25 mm, 50% ASIR-V and standard-dose for S4; slice thickness 1.25 mm, FBP, low-dose for S5; slice thickness 1.25 mm, FBP, standard-dose for S6. The radiation dose of the scan was controlled using two noise indexes (NI), including low-dose (NI=40) and standard-dose (NI=10). Differences in CT number between two groups were compared using t-test or rank-sum test. Results: Significant differences of CT number of the trachea were detected between low-dose and standard-dose, but no significant differences of CT number of other tissues were detected between low-dose and standard-dose. No significant differences of CT number of chest tissues were detected between either 5 mm thickness and 1.25 mm thickness or 50% ASIR-V and FBP. Conclusion: The CT number of human chest tissues showed well stability which was scarcely influenced by slices thickness, reconstruction algorithm and scan dose.
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    • References (15)
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