New adaptive statistical iterative reconstruction ASiR-V: Assessment of noise performance in comparison to ASiR

J Appl Clin Med Phys. 2018 Mar;19(2):275-286. doi: 10.1002/acm2.12253. Epub 2018 Jan 24.

Abstract

Purpose: To assess the noise characteristics of the new adaptive statistical iterative reconstruction (ASiR-V) in comparison to ASiR.

Methods: A water phantom was acquired with common clinical scanning parameters, at five different levels of CTDIvol . Images were reconstructed with different kernels (STD, SOFT, and BONE), different IR levels (40%, 60%, and 100%) and different slice thickness (ST) (0.625 and 2.5 mm), both for ASiR-V and ASiR. Noise properties were investigated and noise power spectrum (NPS) was evaluated.

Results: ASiR-V significantly reduced noise relative to FBP: noise reduction was in the range 23%-60% for a 0.625 mm ST and 12%-64% for the 2.5 mm ST. Above 2 mGy, noise reduction for ASiR-V had no dependence on dose. Noise reduction for ASIR-V has dependence on ST, being greater for STD and SOFT kernels at 2.5 mm. For the STD kernel ASiR-V has greater noise reduction for both ST, if compared to ASiR. For the SOFT kernel, results varies according to dose and ST, while for BONE kernel ASIR-V shows less noise reduction. NPS for CT Revolution has dose dependent behavior at lower doses. NPS for ASIR-V and ASiR is similar, showing a shift toward lower frequencies as the IR level increases for STD and SOFT kernels. The NPS is different between ASiR-V and ASIR with BONE kernel. NPS for ASiR-V appears to be ST dependent, having a shift toward lower frequencies for 2.5 mm ST.

Conclusions: ASiR-V showed greater noise reduction than ASiR for STD and SOFT kernels, while keeping the same NPS. For the BONE kernel, ASiR-V presents a completely different behavior, with less noise reduction and modified NPS. Noise properties of the ASiR-V are dependent on reconstruction slice thickness. The noise properties of ASiR-V suggest the need for further measurements and efforts to establish new CT protocols to optimize clinical imaging.

Keywords: computed tomography; iterative reconstruction; noise power spectrum.

MeSH terms

  • Algorithms*
  • Bone and Bones / diagnostic imaging*
  • Data Interpretation, Statistical*
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Information Storage and Retrieval
  • Models, Statistical
  • Phantoms, Imaging*
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Signal-To-Noise Ratio
  • Tomography, X-Ray Computed / methods*