Potential dose reduction and image quality improvement in chest CT with a photon-counting CT compared to a new dual-source CT.

Chest Dual-source CT Photon-counting CT Task-based image quality assessment

Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 03 05 2024
revised: 23 09 2024
accepted: 21 10 2024
medline: 31 10 2024
pubmed: 31 10 2024
entrez: 30 10 2024
Statut: aheadofprint

Résumé

To compare potential dose reduction and quality improvement in chest CT images with Photon-Counting CT (PCCT) versus a Dual-Source CT (DSCT). Acquisitions on phantoms were performed on a DSCT and a PCCT at 5 dose levels (9.5/7.5/6.0/2.5/0.4 mGy). Noise power spectrum (NPS) and task-based transfer function (TTF) were calculated to assess noise magnitude and noise texture (f For all dose levels, noise magnitude was significantly lower with PCCT than with DSCT (-44.7 ± 3.0 %; p < 0.05). Identical outcomes were found for noise texture (f Noise magnitude and detectability of chest lesions were better with PCCT than with the DSCT. PCCT may offer great potential for dose reduction in patients undergoing chest CT examinations.

Identifiants

pubmed: 39476432
pii: S1120-1797(24)01101-3
doi: 10.1016/j.ejmp.2024.104844
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104844

Informations de copyright

Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Sebastian Faby, Cédric Croisille and Julien Erath are both employees of Siemens Healthineers. None of the other authors have any 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, Nîmes, France. Electronic address: joel.greffier@chu-nimes.fr.

Djamel Dabli (D)

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

Sebastian Faby (S)

Department of Computed Tomography, Siemens Healthineers AG, Siemensstr. 3, 91301 Forchheim, Germany.

Maxime Pastor (M)

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

Fabien de Oliveira (F)

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

Cédric Croisille (C)

Department of Computed Tomography, Siemens Healthineers AG, Siemensstr. 3, 91301 Forchheim, Germany.

Julien Erath (J)

Department of Computed Tomography, Siemens Healthineers AG, Siemensstr. 3, 91301 Forchheim, Germany.

Jean-Paul Beregi (JP)

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

Classifications MeSH