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Comparison of adaptive statistical iterative reconstruction (ASiR™) and model-based iterative reconstruction (VEO™) for paediatric abdominal CT examinations – An observer performance study of diagnostic image quality

Journal article
Authors Maria Hultenmo
Håkan Caisander
Karsten Mack
Anne Thilander-Klang
Published in Radiation protection dosimetry
Volume 169
Issue 1-4
Pages 107-114
ISSN 1742-3406
Publication year 2016
Published at Institute of Clinical Sciences, Department of Radiation Physics
Pages 107-114
Language en
Links dx.doi.org/10.1093/rpd/ncv557
Keywords Computed tomography
Subject categories Diagnostic radiology, Radiological physics

Abstract

The diagnostic image quality of 75 paediatric abdominal computed tomography (CT) examinations reconstructed with two different iterative reconstruction (IR) algorithms-adaptive statistical IR (ASiR™) and model-based IR (Veo™)-was compared. Axial and coronal images were reconstructed with 70 % ASiR with the Soft™ convolution kernel and with the Veo algorithm. The thickness of the reconstructed images was 2.5 or 5 mm depending on the scanning protocol used. Four radiologists graded the delineation of six abdominal structures and the diagnostic usefulness of the image quality. The Veo reconstruction significantly improved the visibility of most of the structures compared with ASiR in all subgroups of images. For coronal images, the Veo reconstruction resulted in significantly improved ratings of the diagnostic use of the image quality compared with the ASiR reconstruction. This was not seen for the axial images. The greatest improvement using Veo reconstruction was observed for the 2.5 mm coronal slices.

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