Quantitative and qualitative comparison of standard-dose and low-dose pediatric head computed tomography: A retrospective study assessing the effect of adaptive statistical iterative reconstruction

Koray Kilic, Gonca Erbas, Melike Guryildirim, Oznur Leman Konus, Mehmet Arac, Erhan Ilgit, Sedat Isik

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVES: Our aim was to assess the effect of adaptive statistical iterative reconstruction (ASIR) on pediatric head computed tomography (CT) examinations. METHODS: We retrospectively reviewed 305 pediatric head CT examinations. The study population consisted of standard dose (STD, n = 152) examinations reconstructed with filtered back projection and low dose (LD, n = 153) examinations reconstructed with 30% (LD30) and 0% (LD0) ASIR. We compared groups by means of radiation dose, noise measures, and visual grading. Student t test, 1-way analysis of variance test, and Mann-Whitney U test were used for statistical analysis. RESULTS: The dose in the LD30 group was significantly lower (29%) than that in the STD group (P < 0.001). The noise in the white matter (P < 0.001), SNR (P < 0.001), and subjective image noise (P = 0.044) was significantly better in the STD group than those in the LD30 group. There was no significant difference between LD30 and STD groups in the sharpness (P = 0.141), diagnostic acceptability (P = 0.079), and artifacts (P = 0.750) and contrast-to-noise ratio (P = 0.718). CONCLUSIONS: In conclusion, we found that a blend of 30% ASIR in a 16-slice multidetector CT produces diagnostically acceptable pediatric head CT examinations with a 29% less dose.

Original languageEnglish (US)
Pages (from-to)377-381
Number of pages5
JournalJournal of computer assisted tomography
Volume37
Issue number3
DOIs
StatePublished - May 1 2013
Externally publishedYes

Keywords

  • head
  • iterative reconstruction
  • multidetector computed tomography
  • pediatrics
  • radiation dose

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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