Impact of tin filter on the image quality of ultra-low dose chest CT: A phantom study on three CT systems.

Chest Multidetector computed tomography Task-based image quality assessment Tin filter Ultra-low dose

Journal

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

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 02 05 2023
accepted: 23 05 2023
medline: 2 10 2023
pubmed: 8 6 2023
entrez: 7 6 2023
Statut: ppublish

Résumé

The purpose of this study was to assess the impact of a tin filter on the image quality of ultra-low dose (ULD) chest computed tomography (CT) on three different CT systems. An image quality phantom was scanned on three CT systems including two split-filter dual-energy CT (SFCT-1 and SFCT-2) scanners and one dual-source CT scanner (DSCT). Acquisitions were performed with a volume CT dose index (CTDI For DSCT and SFCT-1, noise magnitude values were higher with 100kVp than with Sn100 kVp and with Sn140 kVp or Sn150 kVp than with Sn100 kVp. For SFCT-2, noise magnitude increased from Sn110 kVp to Sn150 kVp and was higher at Sn100 kVp than at Sn110 kVp. For most kVp with the tin filter, the noise amplitude values were lower than those obtained at 100 kVp. For each CT system, noise texture and spatial resolution values were similar with 100 kVp and with all kVp used with a tin filter. For all simulated chest lesions, the highest d' values were obtained at Sn100 kVp for SFCT-1 and DSCT and at Sn110 kVp for SFCT-2. For ULD chest CT protocols, the lowest noise magnitude and highest detectability values for simulated chest lesions are obtained with Sn100 kVp for the SFCT-1 and DSCT CT systems and at Sn110 kVp for SFCT-2.

Identifiants

pubmed: 37286462
pii: S2211-5684(23)00116-X
doi: 10.1016/j.diii.2023.05.005
pii:
doi:

Substances chimiques

Tin 7440-31-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

506-512

Informations de copyright

Copyright © 2023 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts of interst to disclose.

Auteurs

Joël 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.

Isabelle Fitton (I)

Université Paris Cité, 75006 Paris, France, Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, 75015 Paris, France.

Claire Van Ngoc Ty (CV)

Université Paris Cité, 75006 Paris, France, Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, 75015 Paris, France.

Julien Frandon (J)

IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France.

Jean-Paul Beregi (JP)

IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France.

Djamel Dabli (D)

IMAGINE UR UM 103, Montpellier University, Department of Medical Imaging, Nîmes University Hospital, 30029 Nîmes, France.

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Classifications MeSH