Title: Effect of Reducing Field of View on Multidetector Quantitative Computed Tomography Parameters of Airway Wall Thickness in Asthma.

Authors: Sheshadri, Ajay; Rodriguez, Alfonso; Chen, Ryan; Kozlowski, James; Burgdorf, Dana; Koch, Tammy; Tarsi, Jaime; Schutz, Rebecca; Wilson, Brad; Schechtman, Kenneth; Leader, Joseph K; Hoffman, Eric A; Castro, Mario; Fain, Sean B; Gierada, David S

Published In J Comput Assist Tomogr, (2015 Jul-Aug)

Abstract: OBJECTIVE: We reduced the computed tomography (CT)-reconstructed field of view (FOV), increasing pixel density across airway structures and reducing partial volume effects, to determine whether this would improve accuracy of airway wall thickness quantification. METHODS: We performed CT imaging on a lung phantom and 29 participants. Images were reconstructed at 30-, 15-, and 10-cm FOV using a medium-smooth kernel. Cross-sectional airway dimensions were compared at each FOV with repeated-measures analysis of variance. RESULTS: Phantom measurements were more accurate when FOV decreased from 30 to 15 cm (P < 0.05). Decreasing FOV further to 10 cm did not significantly improve accuracy. Human airway measurements similarly decreased by decreasing FOV (P < 0.001). Percent changes in all measurements when reducing FOV from 30 to 15 cm were less than 3%. CONCLUSIONS: Airway measurements at 30-cm FOV are near the limits of CT resolution using a medium-smooth kernel. Reducing reconstructed FOV would minimally increase sensitivity to detect differences in airway dimensions.

PubMed ID: 25938213

MeSH Terms: No MeSH terms associated with this publication