Limiting CT radiation dose in children with craniosynostosis: phantom study using model-based iterative reconstruction

Touko Kaasalainen*, Kirsi Palmu, Anniina Lampinen, Vappu Reijonen, Junnu Leikola, Riku Kivisaari, Mika Kortesniemi

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)

Abstract

Medical professionals need to exercise particular caution when developing CT scanning protocols for children who require multiple CT studies, such as those with craniosynostosis.

To evaluate the utility of ultra-low-dose CT protocols with model-based iterative reconstruction techniques for craniosynostosis imaging.

We scanned two pediatric anthropomorphic phantoms with a 64-slice CT scanner using different low-dose protocols for craniosynostosis. We measured organ doses in the head region with metal-oxide-semiconductor field-effect transistor (MOSFET) dosimeters. Numerical simulations served to estimate organ and effective doses. We objectively and subjectively evaluated the quality of images produced by adaptive statistical iterative reconstruction (ASiR) 30%, ASiR 50% and Veo (all by GE Healthcare, Waukesha, WI). Image noise and contrast were determined for different tissues.

Mean organ dose with the newborn phantom was decreased up to 83% compared to the routine protocol when using ultra-low-dose scanning settings. Similarly, for the 5-year phantom the greatest radiation dose reduction was 88%. The numerical simulations supported the findings with MOSFET measurements. The image quality remained adequate with Veo reconstruction, even at the lowest dose level.

Craniosynostosis CT with model-based iterative reconstruction could be performed with a 20-mu Sv effective dose, corresponding to the radiation exposure of plain skull radiography, without compromising required image quality.

Original languageEnglish
Pages (from-to)1544-1553
Number of pages10
JournalPEDIATRIC RADIOLOGY
Volume45
Issue number10
DOIs
Publication statusPublished - Sep 2015
MoE publication typeA1 Journal article-refereed

Keywords

  • ALARA
  • Computed tomography optimization
  • Craniosynostosis
  • Iterative reconstruction
  • Child
  • Radiation protection
  • IMAGE QUALITY
  • MULTIDETECTOR CT
  • PEDIATRIC CT
  • ABDOMINAL CT
  • SPIRAL CT
  • SCANS
  • OPTIMIZATION
  • TOMOGRAPHY
  • MANAGEMENT
  • EXPOSURE

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