Dose reduction in paediatric cranial CT via iterative reconstruction: a clinical study in 78 patients

D Kaul1, J Kahn2, L Huizing2

  • 1Department of Radiology, Charité School of Medicine and University Hospital, Charitéplatz 1, 10117 Berlin, Germany; Department of Radiation Oncology, Charité School of Medicine and University Hospital, Augustenburger Platz 1, 13353 Berlin, Germany.

Clinical Radiology
|September 7, 2016
PubMed

Insights

Adaptive statistical iterative reconstruction (ASIR) significantly reduces radiation dose in pediatric head CT scans. This technique maintains adequate image quality for clinical diagnosis and follow-up imaging.

Area of Science:

  • Radiology
  • Medical Imaging
  • Pediatric Imaging

Background:

  • Pediatric non-contrast cranial computed tomography (cCT) requires careful radiation dose management.
  • Adaptive statistical iterative reconstruction (ASIR) is a post-processing technique that may allow for dose reduction.

Purpose of the Study:

  • To evaluate the impact of ASIR on radiation dose and image quality in pediatric cCT.
  • To determine optimal ASIR parameters for dose reduction while preserving diagnostic image quality.

Main Methods:

  • 78 pediatric patients underwent non-contrast cranial CT using various protocols with filtered back projection (FBP) and different levels of ASIR (20%, 30%, 40%/60% blend).
  • Effective dose was calculated, and image quality was assessed quantitatively and qualitatively.

Main Results:

  • ASIR protocols (20% and 30%) significantly reduced the dose-length product (DLP) by 34.4% and 64.4% compared to the control group.
  • While all ASIR groups showed reduced noise and improved diagnosability, Group C (100 kV, 20% ASIR) was adequate for routine clinical practice.
  • Group D2 (100 kV, 40% ASIR/60% FBP blend) was suitable for follow-up imaging of severe acute events.

Conclusions:

  • Combining ASIR with low tube voltage offers significant radiation dose reduction in pediatric cCT.
  • Adequate image quality for clinical diagnosis and specific follow-up scenarios can be maintained with ASIR.
Abstract