Pediatric Radiology

, Volume 49, Issue 1, pp 51–56 | Cite as

Extent of tube-current reduction using sinogram affirmed iterative reconstruction in pediatric computed tomography: phantom study

  • Ajit BrindhabanEmail author
Original Article



Iterative image reconstruction techniques can produce diagnostic-quality computed tomography (CT) images with lower radiation dose.


To quantify the reduction in x-ray tube-current setting and optimize pediatric CT scans using different strengths of an iterative reconstruction technique.

Materials and methods

The head, chest and abdomen regions of an anthropomorphic phantom representing a 5-year-old patient were scanned using standard CT protocols. Images were reconstructed using filtered back projection and different strengths of a sinogram affirmed iterative reconstruction technique. Repeated measurements of contrast-to-noise ratios in the lungs, bone and soft-tissue regions of the phantom were carried out. Maximum increase in contrast-to-noise ratio with iterative reconstruction strength was identified and a tube-current reduction factor was calculated. Head scans were repeated with reduced tube current and compared to filtered back projection images.


Iterative reconstruction strength of 3 for head and chest images and 4 for abdomen images were optimum, resulting in contrast-to-noise ratio increase of about 50%. A tube-current reduction factor of 1.2 for head images was calculated. Images of the head acquired using reduced tube-current showed similar contrast-to-noise ratio as images form filtered back projection with full tube current.


Optimum strength of iterative reconstruction technique has been identified for head, chest and abdomen images. Reductions in tube current of 20%, resulting in similar radiation dose reduction, have been established.


Children Computed tomography Contrast-to-noise ratio Iterative reconstruction technique Tube-current reduction 


Compliance with ethical standards

Conflicts of interest



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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Radiologic SciencesKuwait UniversitySulaibikhatKuwait

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