iQMetrix-CT: New software for task-based image quality assessment of phantom CT images.


Journal

Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 25 05 2022
accepted: 27 05 2022
pubmed: 7 7 2022
medline: 9 11 2022
entrez: 6 7 2022
Statut: ppublish

Résumé

The purpose of this article was to explain how the new iQMetrix-CT software works, as well as to describe its current potential and discuss its future applications. iQMetrix-CT was developed by a working group from the French Society of Medical Physicists (SFPM). This software calculates three advanced metrics, which have been adapted to take into account the non-linear and non-stationary properties of iterative reconstruction algorithms. Noise power spectrum is calculated to assess noise texture and noise magnitude in the frequency domain. The task-based transfer function is computed to assess the spatial resolution under conditions of contrast and noise similar to the lesions encountered in clinical practice. Finally, the detectability index is used to estimate the radiologist's ability to perform a given task such as detecting a simulated lesion. These metrics are very useful to evaluate the performance of reconstruction algorithms in term of image quality and optimize the doses of a given protocol or to evaluate and compare a new technology.

Identifiants

pubmed: 35792006
pii: S2211-5684(22)00111-5
doi: 10.1016/j.diii.2022.05.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

555-562

Informations de copyright

Copyright © 2022. Published by Elsevier Masson SAS.

Auteurs

Joel Greffier (J)

IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France. Electronic address: joel.greffier@chu-nimes.fr.

Yves Barbotteau (Y)

Department of Radiology, CHP Clairval, Ramsay Santé, 13273 Marseille, France.

François Gardavaud (F)

Department of Radiology, APHP, Hôpital Tenon, 75020 Paris, France; Institute of Computing and Data Sciences (ISCD), Sorbonne Université, 75013 Paris, France.

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