Pediatric Radiology

, Volume 47, Issue 12, pp 1648–1658 | Cite as

Advanced virtual monochromatic reconstruction of dual-energy unenhanced brain computed tomography in children: comparison of image quality against standard mono-energetic images and conventional polychromatic computed tomography

  • Juil Park
  • Young Hun Choi
  • Jung-Eun Cheon
  • Woo Sun Kim
  • In-One Kim
  • Seong Yong Pak
  • Bernhard Krauss
Original Article



Advanced virtual monochromatic reconstruction from dual-energy brain CT has not been evaluated in children.


To determine the most effective advanced virtual monochromatic imaging energy level for maximizing pediatric brain parenchymal image quality in dual-energy unenhanced brain CT and to compare this technique with conventional monochromatic reconstruction and polychromatic scanning.

Materials and methods

Using both conventional (Mono) and advanced monochromatic reconstruction (Mono+) techniques, we retrospectively reconstructed 13 virtual monochromatic imaging energy levels from 40 keV to 100 keV in 5-keV increments from dual-source, dual-energy unenhanced brain CT scans obtained in 23 children. We analyzed gray and white matter noise ratios, signal-to-noise ratios and contrast-to-noise ratio, and posterior fossa artifact. We chose the optimal mono-energetic levels and compared them with conventional CT.


For Mono+maximum optima were observed at 60 keV, and minimum posterior fossa artifact at 70 keV. For Mono, optima were at 65–70 keV, with minimum posterior fossa artifact at 75 keV. Mono+ was superior to Mono and to polychromatic CT for image-quality measures. Subjective analysis rated Mono+superior to other image sets.


Optimal virtual monochromatic imaging using Mono+ algorithm demonstrated better image quality for gray–white matter differentiation and reduction of the artifact in the posterior fossa.


Brain Children Computed tomography Dual-energy computed tomography Monochromatic reconstruction Virtual monochromatic image 


Compliance with ethical standards

Conflicts of interest

This research was supported by Research Program 2016 funded by Seoul National University College of Medicine Research Foundation (800–20,160,070). Authors Seong Young Pak and Bernhard Krauss are employees of Siemens Healthineers. However, control of all data and information submitted for publication was given to the authors who were not affiliated with Siemens Healthineers. The remaining authors have nothing to disclose.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of RadiologySeoul National University Children’s HospitalSeoulSouth Korea
  2. 2.Department of RadiologySeoul National University College of MedicineSeoulSouth Korea
  3. 3.Institute of Radiation MedicineSeoul National University Medical Research CenterSeoulSouth Korea
  4. 4.Siemens HealthineersSeoulSouth Korea
  5. 5.Siemens HealthineersForchheimGermany

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