Advertisement

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

Abstract

Background

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

Objective

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.

Results

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.

Conclusion

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.

Keywords

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

Notes

Compliance with ethical standards

Conflicts of interest

None

References

  1. 1.
    Klink T, Obmann V, Heverhagen J et al (2014) Reducing CT radiation dose with iterative reconstruction algorithms: the influence of scan and reconstruction parameters on image quality and CTDIvol. Eur J Radiol 83:1645–1654CrossRefPubMedGoogle Scholar
  2. 2.
    Bosch de Basea M, Salotti JA, Pearce MS et al (2016) Trends and patterns in the use of computed tomography in children and young adults in Catalonia — results from the EPI-CT study. Pediatr Radiol 46:119–129CrossRefPubMedGoogle Scholar
  3. 3.
    Bae S, Kim M, Yoon C et al (2014) Effects of adaptive statistical iterative reconstruction on radiation dose reduction and diagnostic accuracy of pediatric abdominal CT. Pediatr Radiol 44:1541–1547CrossRefPubMedGoogle Scholar
  4. 4.
    Kim J, Kim M, Kim H, Lee M (2014) Radiation dose reduction and image quality in pediatric abdominal CT with kVp and mAs modulation and an iterative reconstruction technique. Clin Imaging 38:710–714CrossRefPubMedGoogle Scholar
  5. 5.
    Yu L, Fletcher J, Shiung M et al (2015) Radiation dose reduction in pediatric body CT using iterative reconstruction and a novel image-based denoising method. AJR Am J Roentgenol 205:1026–1037CrossRefPubMedGoogle Scholar
  6. 6.
    Yoon H, Kim M-J, Yoon C-S et al (2015) Radiation dose and image quality in pediatric CT: effects of iterative reconstruction in normal and overweight children. Pediatr Radiol 45:337–344CrossRefPubMedGoogle Scholar
  7. 7.
    Van den Harder A, Willemink M, Budde R et al (2015) Hybrid and model-based iterative reconstruction technique for pediatric CT. AJR Am J Roentgenol 204:645–653CrossRefGoogle Scholar
  8. 8.
    Smarda M, Alexopoulou E, Mazioti A et al (2015) Pediatric chest HRCT using the iDose hybrid iterative reconstruction algorithm: which iDose level to choose? J Phys Conf Ser 637:1–4CrossRefGoogle Scholar
  9. 9.
    McKnight C, Watcharotone K, Ibrahim M et al (2014) Adaptive statistical iterative reconstruction: reducing dose while preserving image quality in the pediatric head CT examination. Pediatr Radiol 44:997–1003CrossRefPubMedGoogle Scholar
  10. 10.
    Vorona G, Zuccoli G, Sutcavage T et al (2012) The use of adaptive statistical iterative reconstruction in pediatric head CT: a feasibility study. AJNR Am J Neuroradiol 34:205–211CrossRefPubMedGoogle Scholar
  11. 11.
    Lee S, Kim M, Yoon C, Lee M (2012) Radiation dose reduction with the adaptive statistical iterative reconstruction (ASIR) technique for chest CT in children: an intra-individual comparison. Eur J Radiol 81:e938–e943CrossRefPubMedGoogle Scholar
  12. 12.
    Karmazyn B, Liang Y, Ai H et al (2014) Optimization of hybrid iterative reconstruction level in pediatric body CT. AJR Am J Roentgenol 202:426–431CrossRefPubMedGoogle Scholar
  13. 13.
    Brady S, Moore B, Yee B, Kaufman R (2013) Pediatric CT: implementation of ASIR for substantial radiation dose reduction while maintaining pre-ASIR image noise. Radiology 270:223–231CrossRefPubMedGoogle Scholar
  14. 14.
    Qiu D, Seeram E (2016) Does iterative reconstruction improve image quality and reduce dose in computed tomography? Radiol Open J 1:42–54CrossRefGoogle Scholar
  15. 15.
    Grant K, Raupach R (2012) SAFIRE: Sinogram affirmed iterative reconstruction. Accessed from HYPERLINK "http://imaging.ubmmedica.com/all/editorial/diagnosticimaging/pdfs/SAFIRE.pdf"http://imaging.ubmmedica.com/all/editorial/diagnosticimaging/pdfs/SAFIRE.pdf
  16. 16.
    Masuda T, Funama Y, Kiguchi M et al (2016) Radiation dose reduction based on CNR index with low-tube voltage scan for pediatric CT: experimental study using anthropomorphic phantoms. Springerplus 5:2064Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Department of Radiologic SciencesKuwait UniversitySulaibikhatKuwait

Personalised recommendations