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Assessment of clinical image quality in paediatric abdominal CT examinations: dependency on the level of adaptive statistical iterative reconstruction (ASiR) and the type of convolution kernel

Journal article
Authors Joel Larsson
Magnus Båth
Kerstin Ledenius
Håkan Caisander
Anne Thilander-Klang
Published in Radiation protection dosimetry
Volume 169
Issue 1-4
Pages 123-129
ISSN 1742-3406
Publication year 2016
Published at Institute of Clinical Sciences, Department of Radiation Physics
Pages 123-129
Language en
Links dx.doi.org/10.1093/rpd/ncw017
Subject categories Radiological physics, Radiology

Abstract

The purpose of this study was to investigate the effect of different combinations of convolution kernel and the level of Adaptive Statistical iterative Reconstruction (ASiR™) on diagnostic image quality as well as visualisation of anatomical structures in paediatric abdominal computed tomography (CT) examinations. Thirty-five paediatric patients with abdominal pain with non-specified pathology undergoing abdominal CT were included in the study. Transaxial stacks of 5-mm-thick images were retrospectively reconstructed at various ASiR levels, in combination with three convolution kernels. Four paediatric radiologists rated the diagnostic image quality and the delineation of six anatomical structures in a blinded randomised visual grading study. Image quality at a given ASiR level was found to be dependent on the kernel, and a more edge-enhancing kernel benefitted from a higher ASiR level. An ASiR level of 70 % together with the Soft™ or Standard™ kernel was suggested to be the optimal combination for paediatric abdominal CT examinations.

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