%0 Journal Article
%A Saborido-Moral, Juan D
%A Fernández-Patón, Matías
%A Tejedor-Aguilar, Natalia
%A Cristian-Marín, Andrei
%A Torres-Espallardo, Irene
%A Campayo-Esteban, Juan M
%A Pérez-Calatayud, José
%A Baltas, Dimos
%A Martí-Bonmatí, Luis
%A Carles, Montserrat
%T Free automatic software for quality assurance of computed tomography calibration, edges and radiomics metrics reproducibility.
%J Physica medica
%V 114
%@ 1120-1797
%C Amsterdam
%I Elsevier
%M DKFZ-2023-01980
%P 103153
%D 2023
%X To develop a QA procedure, easy to use, reproducible and based on open-source code, to automatically evaluate the stability of different metrics extracted from CT images: Hounsfield Unit (HU) calibration, edge characterization metrics (contrast and drop range) and radiomic features.The QA protocol was based on electron density phantom imaging. Home-made open-source Python code was developed for the automatic computation of the metrics and their reproducibility analysis. The impact on reproducibility was evaluated for different radiation therapy protocols, and phantom positions within the field of view and systems, in terms of variability (Shapiro-Wilk test for 15 repeated measurements carried out over three days) and comparability (Bland-Altman analysis and Wilcoxon Rank Sum Test or Kendall Rank Correlation Coefficient).Regarding intrinsic variability, most metrics followed a normal distribution (88
%K Automatic quality assurance (Other)
%K Computed tomography (Other)
%K Radiomics (Other)
%K Reproducibility (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:37778209
%R 10.1016/j.ejmp.2023.103153
%U https://inrepo02.dkfz.de/record/284386