| Literature DB >> 26922785 |
Joel Larsson1, Magnus Båth2, Kerstin Ledenius3, Håkan Caisander4, Anne Thilander-Klang2.
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.Entities:
Mesh:
Year: 2016 PMID: 26922785 DOI: 10.1093/rpd/ncw017
Source DB: PubMed Journal: Radiat Prot Dosimetry ISSN: 0144-8420 Impact factor: 0.972