Free automatic software for quality assurance of computed tomography calibration, edges and radiomics metrics reproducibility

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Abstract: Purpose
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.

Methods
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).

Results
Regarding intrinsic variability, most metrics followed a normal distribution (88% of HU, 63% of edge parameters and 82% of radiomic features). Regarding comparability, HU and contrast were comparable in all conditions, and drop range only in the same CT scanner and phantom position. The percentages of comparable radiomic features independent of protocol, position and system were 59%, 78% and 54%, respectively. The non-significantly differences in HU calibration curves obtained for two different institutions (7%) translated in comparable Gamma Index G (1 mm, 1%, >99%).

Conclusions
An automated software to assess the reproducibility of different CT metrics was successfully created and validated. A QA routine proposal is suggested

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Physica medica. - 114 (2023) , 103153, ISSN: 1724-191X

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2023
Urheber
Saborido-Moral, Juan D.
Fernández-Patón, Matías
Tejedor-Aguilar, Natalia
Cristian-Marín, Andrei
Torres-Espallardo, Irene
Campayo-Esteban, Juan M.
Perez-Calatayud, Jose
Baltas, Dimos
Martí-Bonmatí, Luis
Carles, Montserrat

DOI
10.1016/j.ejmp.2023.103153
URN
urn:nbn:de:bsz:25-freidok-2402800
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:53 MEZ

Datenpartner

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Beteiligte

  • Saborido-Moral, Juan D.
  • Fernández-Patón, Matías
  • Tejedor-Aguilar, Natalia
  • Cristian-Marín, Andrei
  • Torres-Espallardo, Irene
  • Campayo-Esteban, Juan M.
  • Perez-Calatayud, Jose
  • Baltas, Dimos
  • Martí-Bonmatí, Luis
  • Carles, Montserrat
  • Universität

Entstanden

  • 2023

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