Quantitative analysis of the effect of iterative reconstruction using a phantom: Determining the appropriate blending percentage

  • Hyun Gi Kim
  • , Yong Eun Chung
  • , Young Han Lee
  • , Jin Young Choi
  • , Mi Suk Park
  • , Myeong Jin Kim
  • , Ki Whang Kim

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Purpose: To investigate the optimal blending percentage of adaptive statistical iterative reconstruction (ASIR) in a reduced radiation dose while preserving a degree of image quality and texture that is similar to that of standard-dose computed tomography (CT). Materials and Methods: The CT performance phantom was scanned with standard and dose reduction protocols including reduced mAs or kVp. Image quality parameters including noise, spatial, and low-contrast resolution, as well as image texture, were quantitatively evaluated after applying various blending percentages of ASIR. The optimal blending percentage of ASIR that preserved image quality and texture compared to standard dose CT was investigated in each radiation dose reduction protocol. Results: As the percentage of ASIR increased, noise and spatial-resolution decreased, whereas low-contrast resolution increased. In the texture analysis, an increasing percentage of ASIR resulted in an increase of angular second moment, inverse difference moment, and correlation and in a decrease of contrast and entropy. The 20% and 40% dose reduction protocols with 20% and 40% ASIR blending, respectively, resulted in an optimal quality of images with preservation of the image texture. Conclusion: Blending the 40% ASIR to the 40% reduced tube-current product can maximize radiation dose reduction and preserve adequate image quality and texture.

Original languageEnglish
Pages (from-to)253-261
Number of pages9
JournalYonsei Medical Journal
Volume56
Issue number1
DOIs
StatePublished - 1 Jan 2015

Bibliographical note

Publisher Copyright:
© Yonsei University College of Medicine 2015.

Keywords

  • CT Image quality
  • Filtered back projection
  • Iterative reconstruction
  • Radiation dose reduction
  • Texture analysis Other

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