Image Quality and Radiation Dose of Portal Venous Imaging by Dual-Source Computed Tomography Single Energy Technology

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Li X.; Liang Z.; Duan Y.; Liu W.; Han Z.; Wang R.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF RADIATION RESEARCH Year:2025 | Volume:23 | Issue:2 Page(s): 305-309

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Title

Image Quality and Radiation Dose of Portal Venous Imaging by Dual-Source Computed Tomography Single Energy Technology

Author(s)

Keywords

Computed tomography

radiographic image enhancement

portal vein

radiation dosage

signal-to-noise ratio.

Abstract

Background: The design of this work was to explore the feasibility of optimizing computed tomography (CT) portal vein image quality and radiation dose by virtual single-energy imaging technology. Materials and Methods: Nighty-two patients who underwent dual-source CT (DSCT) examination in our hospital from September 2021 and August 2022 were selected as the study objects. They received CT scanning (90/Sn150 kV) and the images of 40 keV to 100 keV and M_0.6 linear fusion were obtained. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality, and radiation dose of different models were calculated. Results: Statistical significance in the subjective score of image quality was tested among all groups, and the 40 keV group had the highest score. The SD values in 40 keV to 60 keV were elevated, while were declined in 80 keV to 100 keV compared with the M_0.6 fusion image. CNR values in 40 keV to 70 keV groups were significantly higher, and in 90 keV to 100 keV were lower than those in M_0.6 group. SNR in the 40 keV group was significantly better than that in M_0.6 group. The average radiation doses were 6.12 ± 1.30 CTDIvol (mGy) and the radiation dose length product (DLP) was 304.3 ± 87.67 (mGy.cm). Conclusion: DSCT virtual single energy reconstruction technology could greatly improve image quality, and 40 keV single energy reconstruction had the best image quality.

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