Influence of virtual monochromatic spectral image at different energy levels on motion artifact correction in dual-energy spectral coronary CT angiography

Jpn J Radiol. 2019 Sep;37(9):636-641. doi: 10.1007/s11604-019-00852-0. Epub 2019 Jul 3.

Abstract

Purpose: To investigate the influence of virtual monochromatic spectral (VMS) CT images at different energy levels on the effectiveness of a motion correction technique (SSF) in dual-energy Spectral coronary CT angiography (CCTA).

Materials and methods: 29 cases suspected of or diagnosed with coronary artery disease underwent Spectral CCTA using a prospective ECG triggering with 250 ms padding time. SSF was applied to the determined least-motion phase to generate 6 additional sets of VMS images with energy levels from 40 to 100 keV. CT value and standard deviation (SD) in the aortic root and epicardial adipose tissue were measured. Image quality of the RCA, LAD and LCX was evaluated on a per-vessel basis in each patient. Two reviewers evaluated the artery using the score of the segment.

Results: The low energy VMS images increased CT value and image noise compared with higher-energy VMS images, except 90 keV and 100 keV. The CNR of 40-70 keV were higher than those of 80-100 keV (P < 0.05). The image quality scores for images at 50-80 keV were higher than those of 40, 90, and 100 keV (P < 0.05), and the VMS image quality at 50 keV and 60 keV with SSF was the highest.

Conclusion: SSF can effectively reduce the motion artifacts when coronary vessels have suitable contrast enhancement which can be achieved by adjusting energy levels of VMS images.

Keywords: Coronary artery; Spectral CT imaging; Tomography; X-ray computed.

MeSH terms

  • Adult
  • Aged
  • Artifacts*
  • Computed Tomography Angiography / methods*
  • Coronary Angiography / methods*
  • Coronary Artery Disease / diagnostic imaging*
  • Coronary Vessels / diagnostic imaging
  • Female
  • Humans
  • Male
  • Middle Aged
  • Motion
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Retrospective Studies