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Pediatr Radiol. 2015 Sep;45(10):1544-53. doi: 10.1007/s00247-015-3348-2. Epub 2015 May 5.

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

Author information

1
HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, POB 340, Haartmaninkatu 4, 00290, Helsinki, Finland, touko.kaasalainen@hus.fi.

Abstract

BACKGROUND:

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

OBJECTIVE:

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

MATERIALS AND METHODS:

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.

RESULTS:

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.

CONCLUSION:

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

PMID:
25939873
DOI:
10.1007/s00247-015-3348-2
[Indexed for MEDLINE]

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