Adaptive Statistical Iterative Reconstruction-V: Impact on Image Quality in Ultralow-Dose Coronary Computed Tomography Angiography

J Comput Assist Tomogr. 2016 Nov/Dec;40(6):958-963. doi: 10.1097/RCT.0000000000000460.

Abstract

Objective: The clinical utility of a latest generation iterative reconstruction algorithm (adaptive statistical iterative reconstruction [ASiR-V]) has yet to be elucidated for coronary computed tomography angiography (CCTA). This study evaluates the impact of ASiR-V on signal, noise and image quality in CCTA.

Methods: Sixty-five patients underwent clinically indicated CCTA on a 256-slice CT scanner using an ultralow-dose protocol. Data sets from each patient were reconstructed at 6 different levels of ASiR-V. Signal intensity was measured by placing a region of interest in the aortic root, LMA, and RCA. Similarly, noise was measured in the aortic root. Image quality was visually assessed by 2 readers.

Results: Median radiation dose was 0.49 mSv. Image noise decreased with increasing levels of ASiR-V resulting in a significant increase in signal-to-noise ratio in the RCA and LMA (P < 0.001). Correspondingly, image quality significantly increased with higher levels of ASiR-V (P < 0.001).

Conclusions: ASiR-V yields substantial noise reduction and improved image quality enabling introduction of ultralow-dose CCTA.

MeSH terms

  • Algorithms
  • Computed Tomography Angiography / methods*
  • Coronary Angiography / methods*
  • Coronary Artery Disease / diagnostic imaging*
  • Data Interpretation, Statistical
  • Female
  • Humans
  • Male
  • Middle Aged
  • Observer Variation
  • Radiation Exposure / analysis*
  • Radiation Exposure / prevention & control
  • Radiation Protection / methods*
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity