Comparison of low-energy virtual monoenergetic images between photon-counting CT and energy-integrating detectors CT: A phantom study.

Dual-energy Iterative reconstruction Multidetector computed tomography Photon counting CT Task-based image quality assessment

Journal

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

Informations de publication

Date de publication:
29 Feb 2024
Historique:
received: 07 02 2024
revised: 17 02 2024
accepted: 19 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

The purpose of this study was to assess image quality and dose level using a photon-counting CT (PCCT) scanner by comparison with a dual-source CT (DSCT) scanner on virtual monoenergetic images (VMIs) at low energy levels. A phantom was scanned using a DSCT and a PCCT with a volume CT dose index of 11 mGy, and additionally at 6 mGy and 1.8 mGy for PCCT. Noise power spectrum and task-based transfer function were evaluated from 40 to 70 keV on VMIs to assess noise magnitude and noise texture (f For all energy levels, noise magnitude values were lower with PCCT than with DSCT at 11 and 6 mGy, but greater at 1.8 mGy. f Compared to DSCT, PCCT reduces noise magnitude and improves noise texture, spatial resolution and detectability on VMIs for all low-keV levels.

Identifiants

pubmed: 38429207
pii: S2211-5684(24)00044-5
doi: 10.1016/j.diii.2024.02.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Sebastian Faby and Julien Erath are both employees of Siemens Healthineers. The other authors have no relevant conflicts of interest or industry support for the project to declare.

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.

Sebastian Faby (S)

Department of Computed Tomography, Siemens Healthineers AG, 91301 Forchheim, Germany.

Maxime Pastor (M)

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

Julien Frandon (J)

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

Julien Erath (J)

Department of Computed Tomography, Siemens Healthineers AG, 91301 Forchheim, Germany.

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.

Classifications MeSH