Image quality of virtual monochromatic images obtained using 320-detector row CT: A phantom study evaluating the effects of iterative reconstruction and body size

Teppei Okamura, Yoshitake Yamada, Minoru Yamada, Akihisa Yamazaki, Nobuyuki Shiraga, Masahiro Jinzaki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Objectives To compare the image quality between virtual monochromatic spectral (VMS) images obtained using 320-row detector CT and polychromatic 120-kVp images reconstructed with or without iterative reconstruction using various phantom sizes. Materials and methods Torso phantoms simulating three patient sizes and containing four syringes filled with water or different contrast media (5, 10, 15 mgI/mL15 mgI/ml) were used. The phantoms were scanned using dual-energy (80/135-kVp) and single-energy (120-kVp) protocols at different settings (20 mGy, 12 mGy, and 6 mGy). VMS images were generated at 1-keV intervals (range, 35–135 keV). Both the VMS images and the single-energy 120-kVp images were reconstructed using filtered back projection (FBP) and adaptive iterative dose reduction 3D (AIDR-3D). The signal-to-noise ratio (SNR), and the contrast-to-noise ratio (CNR) were assessed. Results Using FBP reconstruction, the SNR and CNR of the VMS images were lower than or similar to those of the 120-kVp images for most dose settings. Using AIDR-3D reconstruction, however, the 70-keV VMS images had higher SNRs and CNRs than the 120-kVp images at most settings. Conclusions The image quality of VMS images with FBP reconstruction tended to be lower than that of the 120-kVp images. With the use of AIDR-3D, however, approximately 70-keV VMS images had a higher image quality than the 120-kVp images.

Original languageEnglish
Pages (from-to)212-221
Number of pages10
JournalEuropean Journal of Radiology
Volume95
DOIs
Publication statusPublished - 2017 Oct 1

Keywords

  • 320-detector row CT
  • Iterative reconstruction
  • Virtual monochromatic image

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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